
Cyber Security, Cryptology, and Machine Learning
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
This volume constitutes the proceedings of 9th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2025, in Be'er Sheva, Israel, during December 4-5, 2025.
The 17 regular papers and 9 short papers presented here were carefully reviewed and selected from 43 submissions. These papers focus on Cyber security design; secure software development methodologies; formal methods, semantics, and verification of secure systems; fault tolerance, reliability, and availability of distributed secure systems; game-theoretic approaches to secure computing; automatic recovery,
self-stabilizing, and self-organizing systems; communication, authentication, and identification security; cyber security for mobile systems and the Internet of Things; and much more.
More details
Other editions
Additional editions

System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or another reading app for eBooks, e.g., PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.