mirror of
https://github.com/ScuroNeko/mtg.git
synced 2026-08-31 11:54:01 +03:00
Make DRS optional
This commit is contained in:
+31
-32
@@ -213,42 +213,20 @@ idle = "1m"
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# does not really matter), while websites pump heavy content in HTTP2 streams
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# does not really matter), while websites pump heavy content in HTTP2 streams
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#
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#
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# It means that statistically there is a different between traffic shape:
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# It means that statistically there is a different between traffic shape:
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# TLS packet sizes are different, delays between packets are also different.
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# delays between packets are also different.
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# In order to avoid censorship detection based on these patterns, there is a
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# In order to avoid censorship detection based on these patterns, there is a
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# mtg subsystem called "Doppelganger" that aims to mimic website statistics
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# mtg subsystem called "Doppelganger" that aims to mimic website statistics
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# as close as it could.
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# as close as it could.
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#
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#
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# It does that by 2 ideas:
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# Delays between TLS packets are not constant. There are many factors
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# 1. Delays between TLS packets are not constant. There are many factors
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# that come in play. Application should generate some response, it could
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# that come in play. Application should generate some response, it could
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# send some headers first and stream content with chunked encoding. So
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# send some headers first and stream content with chunked encoding. So
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# some first packets could come as soon as possible, with some delays
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# some first packets could come as soon as possible, with some delays
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# after first ones. Such phenomenon is described by different statistic
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# after first ones. Such phenomenon is described by different statistic
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# distribution. There are 2 distribution that describe it: lognormal
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# distribution. There are 2 distribution that describe it: lognormal
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# distribution and Weibul distribution. Lognormal is all about steady streams
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# distribution and Weibul distribution. Lognormal is all about steady streams
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# of heavy content like a video. Weibul is great about short bursts like
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# of heavy content like a video. Weibul is great about short bursts like
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# user who requested a static page an a couple of images.
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# user who requested a static page an a couple of images.
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#
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# mtg tries to adapt Weibul distribution. It comes with some sensible
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# defaults that were taken from ok.ru. But when you use domain fronting,
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# it always make sense to take statistics from that website. You can specify
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# some urls here. mtg will crawl them from time to time, accumulate time
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# series and approximates parameters for Weibul.
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# 2. TLS record sizes are not random.
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# https://blog.cloudflare.com/optimizing-tls-over-tcp-to-reduce-latency/
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# https://aws.github.io/s2n-tls/usage-guide/ch08-record-sizes.html
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#
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# The idea is that huge TLS records could negatively affect performance.
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# You cannot simply decrypt a part of the packet, you need to wait it
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# whole, and huge packets could involve several RTTs if you do not use
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# any specific software that treat TLS in a very special way. So
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# servers start with small packets, usually around MTU, and ramp up
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# later. This optimizes a time-to-first byte so web browsers start to
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# render early.
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#
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# mtg uses the same technique as was introduced by Cloudflare in their
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# patches to nginx 10 years ago:
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# https://github.com/cloudflare/sslconfig/blob/master/patches/nginx__dynamic_tls_records.patch
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[defense.doppelganger]
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[defense.doppelganger]
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# This is a list of URLs that would be crawled by mtg to approximate delay
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# This is a list of URLs that would be crawled by mtg to approximate delay
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# statistics. They MUST be HTTPS urls.
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# statistics. They MUST be HTTPS urls.
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@@ -266,6 +244,27 @@ repeats-per-raid = 10
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# do not change a lot, so do not expect different results if you request
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# do not change a lot, so do not expect different results if you request
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# each 10 minutes.
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# each 10 minutes.
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raid-each = "6h"
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raid-each = "6h"
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# This enables dynamic tls record sizing.
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#
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# Some modern stacks and platforms start to use the technique that is called
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# DRS. They start with small TLS packets and ramp up eventually. First packets
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# are usually about MTU size, after that we get 4k and eventually max size.
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# This is done with a good intention: to minimize a time to the first byte,
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# so application could start doing something with the data right after first
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# RTT.
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#
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# Apparently, about 90% of application do not employ this technique, they use
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# max size always: nginx, apache, java stuff. But Golang tools, angie and
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# some specific patches activate this technique.
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#
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# In order to mimic a real website we need to know something about software
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# it uses. Usually nobody cares: openssl does 16384, Python does it, nginx
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# does it. So this setting is disabled by default.
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#
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# https://blog.cloudflare.com/optimizing-tls-over-tcp-to-reduce-latency/
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# https://aws.github.io/s2n-tls/usage-guide/ch08-record-sizes.html
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# https://github.com/cloudflare/sslconfig/blob/master/patches/nginx__dynamic_tls_records.patch
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drs = false
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# Some countries do active probing on Telegram connections. This technique
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# Some countries do active probing on Telegram connections. This technique
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# allows to protect from such effort.
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# allows to protect from such effort.
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@@ -265,6 +265,7 @@ func runProxy(conf *config.Config, version string) error { //nolint: funlen
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DoppelGangerURLs: doppelGangerURLs,
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DoppelGangerURLs: doppelGangerURLs,
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DoppelGangerPerRaid: conf.Defense.Doppelganger.Repeats.Get(mtglib.DoppelGangerPerRaid),
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DoppelGangerPerRaid: conf.Defense.Doppelganger.Repeats.Get(mtglib.DoppelGangerPerRaid),
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DoppelGangerEach: conf.Defense.Doppelganger.UpdateEach.Get(mtglib.DoppelGangerEach),
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DoppelGangerEach: conf.Defense.Doppelganger.UpdateEach.Get(mtglib.DoppelGangerEach),
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DoppelGangerDRS: conf.Defense.Doppelganger.DRS.Get(false),
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}
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}
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proxy, err := mtglib.NewProxy(opts)
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proxy, err := mtglib.NewProxy(opts)
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@@ -53,6 +53,7 @@ type Config struct {
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URLs []TypeHttpsURL `json:"urls"`
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URLs []TypeHttpsURL `json:"urls"`
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Repeats TypeConcurrency `json:"repeats_per_raid"`
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Repeats TypeConcurrency `json:"repeats_per_raid"`
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UpdateEach TypeDuration `json:"raid_each"`
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UpdateEach TypeDuration `json:"raid_each"`
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DRS TypeBool `json:"drs"`
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} `json:"doppelganger"`
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} `json:"doppelganger"`
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} `json:"defense"`
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} `json:"defense"`
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Network struct {
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Network struct {
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@@ -48,6 +48,7 @@ type tomlConfig struct {
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URLs []string `toml:"urls" json:"urls,omitempty"`
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URLs []string `toml:"urls" json:"urls,omitempty"`
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Repeats uint `toml:"repeats-per-raid" json:"repeats_per_raid,omitempty"`
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Repeats uint `toml:"repeats-per-raid" json:"repeats_per_raid,omitempty"`
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UpdateEach string `toml:"raid-each" json:"raid_each,omitempty"`
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UpdateEach string `toml:"raid-each" json:"raid_each,omitempty"`
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DRS bool `toml:"drs" json:"drs,omitempty"`
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} `toml:"doppelganger" json:"doppelganger,omitempty"`
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} `toml:"doppelganger" json:"doppelganger,omitempty"`
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} `toml:"defense" json:"defense,omitempty"`
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} `toml:"defense" json:"defense,omitempty"`
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Network struct {
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Network struct {
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@@ -29,6 +29,8 @@ type Ganger struct {
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scoutRaidEach time.Duration
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scoutRaidEach time.Duration
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scoutRaidRepeats int
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scoutRaidRepeats int
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drs bool
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stats *Stats
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stats *Stats
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durations []time.Duration
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durations []time.Duration
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@@ -107,7 +109,7 @@ func (g *Ganger) run() {
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g.wg.Go(func() {
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g.wg.Go(func() {
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select {
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select {
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case <-g.ctx.Done():
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case <-g.ctx.Done():
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case updatedStatsChan <- NewStats(durations):
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case updatedStatsChan <- NewStats(durations, g.drs):
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}
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}
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})
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})
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case stats := <-updatedStatsChan:
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case stats := <-updatedStatsChan:
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@@ -152,6 +154,7 @@ func NewGanger(
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scoutEach time.Duration,
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scoutEach time.Duration,
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scoutRepeats int,
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scoutRepeats int,
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urls []string,
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urls []string,
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drs bool,
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) *Ganger {
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) *Ganger {
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ctx, cancel := context.WithCancel(ctx)
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ctx, cancel := context.WithCancel(ctx)
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@@ -169,9 +172,11 @@ func NewGanger(
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logger: logger,
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logger: logger,
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scoutRaidEach: scoutEach,
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scoutRaidEach: scoutEach,
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scoutRaidRepeats: scoutRepeats,
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scoutRaidRepeats: scoutRepeats,
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drs: drs,
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stats: &Stats{
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stats: &Stats{
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k: StatsDefaultK,
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k: StatsDefaultK,
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lambda: StatsDefaultLambda,
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lambda: StatsDefaultLambda,
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drs: drs,
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},
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},
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scout: NewScout(network, urls),
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scout: NewScout(network, urls),
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connRequests: make(chan gangerConnRequest),
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connRequests: make(chan gangerConnRequest),
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@@ -29,7 +29,7 @@ func (suite *GangerTestSuite) SetupTest() {
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On("WarningError", mock.AnythingOfType("string"), mock.Anything).
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On("WarningError", mock.AnythingOfType("string"), mock.Anything).
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Maybe()
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Maybe()
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suite.g = NewGanger(suite.ctx, suite.network, suite.log, time.Hour, 1, suite.urls)
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suite.g = NewGanger(suite.ctx, suite.network, suite.log, time.Hour, 1, suite.urls, true)
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suite.g.Run()
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suite.g.Run()
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}
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}
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@@ -14,8 +14,8 @@ const (
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// Please see Stats description
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// Please see Stats description
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// https://blog.cloudflare.com/optimizing-tls-over-tcp-to-reduce-latency/
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// https://blog.cloudflare.com/optimizing-tls-over-tcp-to-reduce-latency/
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// https://github.com/cloudflare/sslconfig/blob/master/patches/nginx__dynamic_tls_records.patch
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// https://github.com/cloudflare/sslconfig/blob/master/patches/nginx__dynamic_tls_records.patch
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TLSRecordSizeStart = 1369
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TLSRecordSizeStart = 1450
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TLSRecordSizeAccel = 4229
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TLSRecordSizeAccel = 4096
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TLSRecordSizeMax = 16384 - tls.SizeHeader
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TLSRecordSizeMax = 16384 - tls.SizeHeader
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TLSCounterAccelAfter = 40
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TLSCounterAccelAfter = 40
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@@ -17,6 +17,9 @@ const (
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// these values are taken from ok.ru. measured from moscow site.
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// these values are taken from ok.ru. measured from moscow site.
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StatsDefaultK = 0.37846373895785335
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StatsDefaultK = 0.37846373895785335
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StatsDefaultLambda = 1.73177086015485
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StatsDefaultLambda = 1.73177086015485
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// how many bytes should we drift
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DRSNoise = 100
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)
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)
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// Stats is responsible for generating values that are distributed according
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// Stats is responsible for generating values that are distributed according
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@@ -66,6 +69,9 @@ type Stats struct {
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k float64
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k float64
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// https://en.wikipedia.org/wiki/Scale_parameter
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// https://en.wikipedia.org/wiki/Scale_parameter
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lambda float64
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lambda float64
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// Dynamic Record Sizing
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drs bool
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}
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}
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func (d *Stats) Delay() time.Duration {
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func (d *Stats) Delay() time.Duration {
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@@ -84,20 +90,24 @@ func (d *Stats) Size() int {
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d.sizeCounter = 0
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d.sizeCounter = 0
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}
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}
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if !d.drs {
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return TLSRecordSizeMax
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}
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d.sizeLastRequested = time.Now()
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d.sizeLastRequested = time.Now()
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d.sizeCounter++
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d.sizeCounter++
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switch {
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switch {
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case d.sizeCounter <= TLSCounterAccelAfter:
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case d.sizeCounter <= TLSCounterAccelAfter:
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return TLSRecordSizeStart
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return TLSRecordSizeStart - rand.IntN(DRSNoise)
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case d.sizeCounter <= TLSCounterMaxAfter:
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case d.sizeCounter <= TLSCounterMaxAfter:
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return TLSRecordSizeAccel
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return TLSRecordSizeAccel - rand.IntN(DRSNoise)
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}
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}
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return TLSRecordSizeMax
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return TLSRecordSizeMax
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}
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}
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func NewStats(durations []time.Duration) *Stats {
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func NewStats(durations []time.Duration, drs bool) *Stats {
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n := float64(len(durations))
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n := float64(len(durations))
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// in milliseconds
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// in milliseconds
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@@ -150,5 +160,6 @@ func NewStats(durations []time.Duration) *Stats {
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return &Stats{
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return &Stats{
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k: k,
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k: k,
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lambda: lambda,
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lambda: lambda,
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drs: drs,
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}
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}
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}
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}
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@@ -38,7 +38,7 @@ func (suite *StatsTestSuite) TestNewStatsRecoverParameters() {
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knownLambda := 100.0
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knownLambda := 100.0
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samples := suite.GenWeibull(knownK, knownLambda, 5000, 42)
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samples := suite.GenWeibull(knownK, knownLambda, 5000, 42)
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stats := NewStats(samples)
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stats := NewStats(samples, true)
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suite.InDelta(knownK, stats.k, 0.1)
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suite.InDelta(knownK, stats.k, 0.1)
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suite.InDelta(knownLambda, stats.lambda, 5.0)
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suite.InDelta(knownLambda, stats.lambda, 5.0)
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@@ -50,7 +50,7 @@ func (suite *StatsTestSuite) TestNewStatsExponentialCase() {
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knownLambda := 50.0
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knownLambda := 50.0
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samples := suite.GenWeibull(knownK, knownLambda, 5000, 123)
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samples := suite.GenWeibull(knownK, knownLambda, 5000, 123)
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stats := NewStats(samples)
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stats := NewStats(samples, true)
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suite.InDelta(knownK, stats.k, 0.1)
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suite.InDelta(knownK, stats.k, 0.1)
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suite.InDelta(knownLambda, stats.lambda, 5.0)
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suite.InDelta(knownLambda, stats.lambda, 5.0)
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@@ -64,7 +64,7 @@ func (suite *StatsTestSuite) TestNewStatsSmallK() {
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knownLambda := 100.0
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knownLambda := 100.0
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samples := suite.GenWeibull(knownK, knownLambda, 10000, 99)
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samples := suite.GenWeibull(knownK, knownLambda, 10000, 99)
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stats := NewStats(samples)
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stats := NewStats(samples, true)
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suite.InDelta(knownK, stats.k, 0.05)
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suite.InDelta(knownK, stats.k, 0.05)
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suite.InDelta(knownLambda, stats.lambda, 5.0)
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suite.InDelta(knownLambda, stats.lambda, 5.0)
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@@ -76,7 +76,7 @@ func (suite *StatsTestSuite) TestNewStatsLargeK() {
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knownLambda := 200.0
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knownLambda := 200.0
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|
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samples := suite.GenWeibull(knownK, knownLambda, 5000, 77)
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samples := suite.GenWeibull(knownK, knownLambda, 5000, 77)
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stats := NewStats(samples)
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stats := NewStats(samples, true)
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|
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suite.InDelta(knownK, stats.k, 0.3)
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suite.InDelta(knownK, stats.k, 0.3)
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suite.InDelta(knownLambda, stats.lambda, 5.0)
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suite.InDelta(knownLambda, stats.lambda, 5.0)
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@@ -121,7 +121,7 @@ func (suite *StatsTestSuite) TestNewStatsRoundTrip() {
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knownLambda := 80.0
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knownLambda := 80.0
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|
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samples := suite.GenWeibull(knownK, knownLambda, 5000, 555)
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samples := suite.GenWeibull(knownK, knownLambda, 5000, 555)
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stats := NewStats(samples)
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stats := NewStats(samples, true)
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n := 50000
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n := 50000
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sum := 0.0
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sum := 0.0
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@@ -138,16 +138,17 @@ func (suite *StatsTestSuite) TestNewStatsRoundTrip() {
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}
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}
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func (suite *StatsTestSuite) TestSizeStartPhase() {
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func (suite *StatsTestSuite) TestSizeStartPhase() {
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stats := &Stats{k: 1.0, lambda: 1.0}
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stats := &Stats{k: 1.0, lambda: 1.0, drs: true}
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for range TLSCounterAccelAfter {
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for range TLSCounterAccelAfter {
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size := stats.Size()
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size := stats.Size()
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suite.Equal(TLSRecordSizeStart, size)
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suite.GreaterOrEqual(size, TLSRecordSizeStart-DRSNoise)
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suite.LessOrEqual(size, TLSRecordSizeStart)
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}
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}
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}
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}
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func (suite *StatsTestSuite) TestSizeAccelPhase() {
|
func (suite *StatsTestSuite) TestSizeAccelPhase() {
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stats := &Stats{k: 1.0, lambda: 1.0}
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stats := &Stats{k: 1.0, lambda: 1.0, drs: true}
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|
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for range TLSCounterAccelAfter {
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for range TLSCounterAccelAfter {
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stats.Size()
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stats.Size()
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@@ -155,12 +156,13 @@ func (suite *StatsTestSuite) TestSizeAccelPhase() {
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|||||||
|
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for range TLSCounterMaxAfter - TLSCounterAccelAfter {
|
for range TLSCounterMaxAfter - TLSCounterAccelAfter {
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size := stats.Size()
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size := stats.Size()
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||||||
suite.Equal(TLSRecordSizeAccel, size)
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suite.GreaterOrEqual(size, TLSRecordSizeAccel-DRSNoise)
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||||||
|
suite.LessOrEqual(size, TLSRecordSizeAccel)
|
||||||
}
|
}
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||||||
}
|
}
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|
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func (suite *StatsTestSuite) TestSizeMaxPhase() {
|
func (suite *StatsTestSuite) TestSizeMaxPhase() {
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stats := &Stats{k: 1.0, lambda: 1.0}
|
stats := &Stats{k: 1.0, lambda: 1.0, drs: true}
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||||||
|
|
||||||
for range TLSCounterMaxAfter {
|
for range TLSCounterMaxAfter {
|
||||||
stats.Size()
|
stats.Size()
|
||||||
@@ -173,7 +175,7 @@ func (suite *StatsTestSuite) TestSizeMaxPhase() {
|
|||||||
}
|
}
|
||||||
|
|
||||||
func (suite *StatsTestSuite) TestSizeResetsAfterInactivity() {
|
func (suite *StatsTestSuite) TestSizeResetsAfterInactivity() {
|
||||||
stats := &Stats{k: 1.0, lambda: 1.0}
|
stats := &Stats{k: 1.0, lambda: 1.0, drs: true}
|
||||||
|
|
||||||
// Advance past start phase.
|
// Advance past start phase.
|
||||||
for range TLSCounterMaxAfter {
|
for range TLSCounterMaxAfter {
|
||||||
@@ -185,7 +187,30 @@ func (suite *StatsTestSuite) TestSizeResetsAfterInactivity() {
|
|||||||
// Simulate inactivity by backdating sizeLastRequested.
|
// Simulate inactivity by backdating sizeLastRequested.
|
||||||
stats.sizeLastRequested = time.Now().Add(-TLSRecordSizeResetAfter - time.Millisecond)
|
stats.sizeLastRequested = time.Now().Add(-TLSRecordSizeResetAfter - time.Millisecond)
|
||||||
|
|
||||||
suite.Equal(TLSRecordSizeStart, stats.Size())
|
size := stats.Size()
|
||||||
|
suite.GreaterOrEqual(size, TLSRecordSizeStart-DRSNoise)
|
||||||
|
suite.LessOrEqual(size, TLSRecordSizeStart)
|
||||||
|
}
|
||||||
|
|
||||||
|
func (suite *StatsTestSuite) TestSizeNoDRSAlwaysMax() {
|
||||||
|
stats := &Stats{k: 1.0, lambda: 1.0, drs: false}
|
||||||
|
|
||||||
|
for range TLSCounterMaxAfter + 20 {
|
||||||
|
suite.Equal(TLSRecordSizeMax, stats.Size())
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
func (suite *StatsTestSuite) TestSizeNoDRSIgnoresCounter() {
|
||||||
|
stats := &Stats{k: 1.0, lambda: 1.0, drs: false}
|
||||||
|
|
||||||
|
// Even after many calls, always returns max.
|
||||||
|
for range 200 {
|
||||||
|
suite.Equal(TLSRecordSizeMax, stats.Size())
|
||||||
|
}
|
||||||
|
|
||||||
|
// Inactivity has no effect either.
|
||||||
|
stats.sizeLastRequested = time.Now().Add(-TLSRecordSizeResetAfter - time.Millisecond)
|
||||||
|
suite.Equal(TLSRecordSizeMax, stats.Size())
|
||||||
}
|
}
|
||||||
|
|
||||||
func TestStats(t *testing.T) {
|
func TestStats(t *testing.T) {
|
||||||
|
|||||||
@@ -345,6 +345,7 @@ func NewProxy(opts ProxyOpts) (*Proxy, error) {
|
|||||||
opts.DoppelGangerEach,
|
opts.DoppelGangerEach,
|
||||||
int(opts.DoppelGangerPerRaid),
|
int(opts.DoppelGangerPerRaid),
|
||||||
opts.DoppelGangerURLs,
|
opts.DoppelGangerURLs,
|
||||||
|
opts.DoppelGangerDRS,
|
||||||
),
|
),
|
||||||
configUpdater: dc.NewPublicConfigUpdater(
|
configUpdater: dc.NewPublicConfigUpdater(
|
||||||
tg,
|
tg,
|
||||||
|
|||||||
@@ -157,6 +157,9 @@ type ProxyOpts struct {
|
|||||||
// DoppelGangerEach defines a time period between each raid. We recommend
|
// DoppelGangerEach defines a time period between each raid. We recommend
|
||||||
// to use hours here.
|
// to use hours here.
|
||||||
DoppelGangerEach time.Duration
|
DoppelGangerEach time.Duration
|
||||||
|
|
||||||
|
// DoppelGangerDRS defines if TLS Dynamic Record Sizing is active.
|
||||||
|
DoppelGangerDRS bool
|
||||||
}
|
}
|
||||||
|
|
||||||
func (p ProxyOpts) valid() error {
|
func (p ProxyOpts) valid() error {
|
||||||
|
|||||||
Reference in New Issue
Block a user