blog styling and pow performance post
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@ -26,3 +26,11 @@
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.blog-footer {
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text-align: center;
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}
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.lead {
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color: #5d2f86;
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}
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body.dark .lead {
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color: #8ed6fb;
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}
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@ -0,0 +1,117 @@
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---
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title: "PoW performance"
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description: "PoW performance of native and WASM implementations. Does
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the native implementation have and edge over the WASM library?"
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lead: "We are mCaptcha. We build kickass CAPTCHA systems that gives (DDoS) attackers a run for their money. And we do all of this without tracking your users. Oh and did I mention our UX is great?"
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date: 2021-05-26
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lastmod: 2021-05-26
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draft: false
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weight: 50
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images: ["icon.png"]
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contributors: ["Aravinth Manivannan"]
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---
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mCaptcha uses a
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[proof-of-work(PoW)](https://en.wikipedia.org/wiki/Proof_of_work) mechanism
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to rate limit users or potential bots. In order for this to be
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effective, the PoW should be configured properly. The difficulty
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requirement can't be too high, as it could cause accessibility issues on
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the client-side while at the same time, it shouldn't be too low, as it
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wouldn't offer proper protection against bots.
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Malicious bots(the ones that wreak havoc), run native code which is
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capable of running in a multi-threaded context. This creates an unfair
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advantage for crackers using these bots over legitimate users, who
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usually | browsers to access a website. I wanted to see how much of
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an advantage a native program would have over our WASM library.
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## Benchmark tools
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So I wrote these to compare native and WASM performances:
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- Browser benchmark: [https://mCaptcha.github.io/benches](https://mCaptcha.github.io/benches)
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- Native benchmark: [mCaptcha/cli managed by scripts/bench.sh](https://github.com/mCaptcha/cli/blob/master/scripts/bench.sh)
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{{< alert icon="⭐" text="Feel free to reproduce the results!" >}}
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## Results
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The tests were run on my development machine featuring an Intel Core
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i7-9750h.
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### Native
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| Difficulty | Real | User | Sys |
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| ---------- | -------- | -------- | -------- |
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| 50000 | 0m0.040s | 0m0.040s | 0m0.000s |
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| 300000 | 0m0.122s | 0m0.122s | 0m0.000s |
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| 550000 | 0m0.124s | 0m0.119s | 0m0.003s |
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| 800000 | 0m0.123s | 0m0.118s | 0m0.003s |
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| 1050000 | 0m0.933s | 0m0.932s | 0m0.000s |
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| 1300000 | 0m1.227s | - | 0m0.007s |
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| 1550000 | 0m1.260s | 0m1.256s | 0m0.003s |
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| 1800000 | 0m1.243s | 0m1.242s | 0m0.000s |
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| 2050000 | 0m2.524s | 0m2.510s | 0m0.000s |
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| 2300000 | 0m2.545s | 0m2.543s | 0m0.000s |
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| 2550000 | 0m2.561s | 0m2.551s | 0m0.004s |
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| 2800000 | 0m2.555s | 0m2.540s | 0m0.006s |
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| 3050000 | 0m2.513s | 0m2.508s | 0m0.000s |
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| 3300000 | 0m2.484s | 0m2.481s | 0m0.000s |
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| 3550000 | 0m2.643s | 0m2.642s | 0m0.000s |
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| 3800000 | 0m2.663s | 0m2.661s | 0m0.000s |
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| 4050000 | 0m2.663s | 0m2.660s | 0m0.000s |
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| 4300000 | 0m2.689s | 0m2.683s | 0m0.004s |
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| 4550000 | 0m2.688s | 0m2.686s | 0m0.000s |
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| 4800000 | 0m2.517s | 0m2.509s | 0m0.003s |
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### Browser
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I ran the tests on both Firefox and Chromium to compare results
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### Firefox
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- **User Agent:** `Mozilla/5.0 (X11; Linux x86_64; rv:91.0) Gecko/20100101 Firefox/91.0`
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- **Hardware concurrency:** 12
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| Difficulty | Duration(in ms) |
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| ---------- | --------------- |
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| 500000 | 401 |
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| 1000000 | 413 |
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| 1500000 | 398 |
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| 2000000 | 394 |
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| 2500000 | 1495 |
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| 3000000 | 1556 |
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| 3500000 | 3971 |
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| 4000000 | 4235 |
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| 4500000 | 4116 |
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> To be fair, my Firefox installation is loaded with a gazillion
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> extensions while the Chromium instance is clean, as I don't use it
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> much
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#### Chromium
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- **User Agent:** `Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.159 Safari/537.36`
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- **Hardware concurrency:** 12
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| Difficulty | Duration(in ms) |
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| ---------- | ------------------ |
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| 500000 | 399.40000000037253 |
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| 1000000 | 354.6000000014901 |
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| 1500000 | 351.19999999925494 |
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| 2000000 | 353.80000000074506 |
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| 2500000 | 1337.800000000745 |
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| 3000000 | 1311.199999999255 |
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| 3500000 | 3417.5999999996275 |
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| 4000000 | 3488.800000000745 |
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| 4500000 | 3458.2999999988824 |
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## Conclusion
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At the highest difficulty factor, the native implementation was a almost second
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faster than the WASM library. But the fact that both of them were able
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to run to completion in under 5 seconds is impressive.
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So, in my opinion, native implementation is only slightly faster than
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the WASM library and for all intents and purposes, this shouldn't matter
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much.
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@ -5,11 +5,11 @@
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<h1 class="text-center">{{ .Title }}</h1>
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<div class="text-center">{{ .Content }}</div>
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<div class="card-list">
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{{ range .Data.Pages -}}
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{{ range .Data.Pages -}}
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<div class="card">
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<div class="card-body">
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<h2 class="h3"><a class="stretched-link text-body" href="{{ .Permalink }}">{{ .Params.title }}</a></h2>
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<p>{{ .Params.lead | safeHTML }}</p>
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<p>{{ .Params.description | safeHTML }}</p>
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{{ partial "main/blog-meta.html" . -}}
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</div>
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</div>
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@ -18,4 +18,4 @@
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</article>
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</div>
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</div>
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{{ end }}
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{{ end }}
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