3 ms·
Has anyone read this text and can comment on how good it is? I've been wanting to learn more about cryptography as a SWE who's mostly only done traditional web
by triyambakam 6y ago
Has anyone read this text and can comment on how good it is? I've been wanting to learn more about cryptography as a SWE who's mostly only done traditional web apps/microservices.
- lanecwagner 6y agoThis is great! I'm bookmarking it, I'll probably use some stuff in my sequel to the "Practical Cryptography" course I just released: https://qvault.io/practical-cryptography/ https://qvault.io/practical-cryptography/
- bitoku 6y agoI would recommend this book that was posted on HN before and is much more applied: https://www.manning.com/books/real-world-cryptography?a_aid=Realworldcrypto https://www.manning.com/books/real-world-cryptography?a_aid=...
- SCHiM 6y agoUnrelated to the article. If you want to play with various algorithms in your browser you can go here: https://github.com/gchq/cyberchef https://github.com/gchq/cyberchef
- person_of_color 6y agoI'm wondering this too. If I want to specialize in something, what subfield has the most ROI? - Distributed systems - ML/AI - Crypto
- ssss11 6y agoIt can change rapidly. I’d suggest follow which interests you most.
- xtajv 6y agoWhen I first read this, I had the (snarky! unfiltered!) thought, "Well why dontcha go Google it? That's not exactly a philosophical question." But that got me thinking... what if it was a philosophical question, the kind of question that prompts responses that tell you what it's really like to work in [x]. HN, what's it really like to work in [Distributed systems, ML/AI, Crypto]?
- person_of_color 6y agoHN will have the inside scoop. For example, the salary increase when moving from generic SWE to ML engineer. Or backend engineer to Netflix scale distributed systems.
- Ar-Curunir 6y agoCryptography is super fun =) The things you can do with it are utterly mind-bending, plus you can prove to yourself that things are correct (unlike ML/AI =P)
- kmarc 6y agoThere is a different metric too: level of shame vs level of fame when you screw up / achieve something. - distributed systems? Fame on achievement: not much, shame on failure: not much. - ML/AI? Fame: crazy amount, shame: not much - Crypto? Fame: not much, shame: you better change industry :-D /s
- timdierks 6y agoAs someone with domain expertise in both distributed systems and crypto, I'll say "not crypto"; it's relatively well-understood and most of the people who get value out of it don't need to work on it, they can just use what already exists. By comparison, one needs detailed knowledge of distributed systems to make effective use of them, so expertise has broader value. I suspect ML/AI is similar to distributed systems in impact and value, maybe with broader market applicability, but I don't know as much about it in practice.
- alltakendamned 6y agoI can recommend the book Serious Cryptography published by nostarch press as a solid source
- john_alan 6y agoI agree. Jp does a good job in that book. It’s very accessible yet taught me so much. Covers modern stuff like ECC too, which this book doesn’t seem to.
- theirbadspeller 6y agoSerious cryptography is one of the best textbooks I have ever read.