Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Although cryptography plays an essential part in most modern solutions, especially in payments, cryptographic algorithms remain a black box for most users of these tools. Just as a sane backend developer does not drill down into low-level disk access details of a server filesystem, payments professionals have enough things to worry about before they ever need to bother themselves with debugging an encrypted value or a message digest. However, at a certain point, an engineer faces the need to identify a problem with a particular algorithm or, perhaps, to create a testing tool that would simulate a counterpart in a protocol that involves encryption.
The world of cryptography has moved on with giant leaps. Available technical standards mention acronyms and link to more standards, some of which are very large while others are not available for free. After finding the standards for the algorithm, the specific mode of operation must also be identified. Most implementations use several cryptographic primitives—for example, key derivation with a block cipher, which produces a secret that is used together with a hash function and a double padding scheme to produce a digital signature of a base64-encoded value. Understanding this requires more sifting through online sources, more reading of platform and library documents, and finally, when some code can be written, there are very few test cases to validate it.
Cryptography for Payment Professionals is intended for technical people, preferably with some background in software engineering, who may need to deal with a cryptographic algorithm in the payments realm. It does not cover the payment technology in-depth, nor does it provide more than a brief overview of some regulations and security standards. Instead, it focuses on the cryptographic aspects of each field it mentions. Highlights include:
It is best if the reader understands programming, number and string representations in machine memory, and bit operations. Knowledge of C, Python, or Java may make the examples easier to read but this is not mandatory.
Code related to the book is available at the author’s GitHub site: https://github.com/ilya-dubinsky/cfpp
Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Memmo's summaries are gold before exams. I don't have to re-read 800 pages two weeks before — just the important parts.
The AI chat has saved me the night before an exam more than once. I just keep asking until I get it — no waiting on a study group to reply.
The quizzes hit exactly what I need to know. Memmo tracks what I get stuck on — so I only practice what's worth it.
Flashcards with spaced repetition are magic. Memmo knows when I'm about to forget something and brings it back.
The AI podcasts are my favorite. I listen on my way to school and get a recap without sitting at a computer.
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