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.
This book describes analysis and control against smart cyberattacks in discrete event systems (DES). This is the first technical DES book to provide a thorough introduction to smart cyberattacks on supervisory control systems modelled by regular languages or finite-state automata and possible resilient defence methods against smart cyberattacks.
"Smart attacks" cannot be detected by the supervisor until an irreversible process toward ensured damage occurs. An attack may be conducted either in the observation channel (i.e., the supervisor’s input of the supervisor) or in the command channel (i.e., the supervisor’s output) or both simultaneously. Therefore, defence strategies against these attacks are urgently needed. Rong Su provides a comprehensive overview of the latest theories and includes empirical examples to illustrate concepts and methods. By centering on what information is available and how such information is used, the readers are provided with methods to evaluate the cyber vulnerability of a given system and design a resilient supervisor against relevant smart attacks. This book comprises two sections. Firstly, Su introduces the required concepts and techniques related to DES and supervisory control. Then he introduces different types of smart attacks that intercept and manipulate information in sensor and command channels in a standard closed-loop control system. Secondly, he presents resilient defence strategies against relevant types of attacks.
By focusing on a conceptual introduction and systematic analysis, this book provides a solid theoretical foundation for future exploration by researchers and graduate students who are interested in cybersecurity research, not necessarily limited to those in the DES community. To illustrate the practical relevance of this research, realistic examples are used throughout this book. Readers are recommended to have a background in formal language theory.
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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