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Privacy-Aware Knowledge Discovery
Covering research at the frontier of this field, Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques presents state-of-the-art privacy-preserving data mining techniques for application domains, such as medicine and social networks, that face the increasing heterogeneity and complexity of new forms of data. Renowned authorities
Recent Advances in Intrusion Detection
This book constitutes the refereed proceedings of the 9th International Symposium on Recent Advances in Intrusion Detection, RAID 2006, held in Hamburg, Germany in September 2006. The 16 revised full papers presented were carefully reviewed and selected from 93 submissions. The papers are organized in topical sections on anomaly detection, attacks, system evaluation and threat assessment, malware collection and analysis, anomaly- and specification-based detection, and network intrusion detection.
Advances in Cryptology - EUROCRYPT 2005
This book constitutes the refereed proceedings of the 24th Annual International Conference on the Theory and Applications of Cryptographic Techniques, EUROCRYPT 2005, held in Aarhus, Denmark in May 2005. The 33 revised full papers presented were carefully reviewed and selected from 190 submissions. The papers are organized in topical sections on cryptanalysis, theory, encryption, signatures and authentication, algebra and number theory, quantum cryptography, secure protocols, and broadcast encryption and traitor tracing.
Cybersecurity Analytics
Cybersecurity Analytics is for the cybersecurity student and professional who wants to learn data science techniques critical for tackling cybersecurity challenges, and for the data science student and professional who wants to learn about cybersecurity adaptations. Trying to build a malware detector, a phishing email detector, or just interested in finding patterns in your datasets? This book can let you do it on your own. Numerous examples and datasets links are included so that the reader can "learn by doing." Anyone with a basic college-level calculus course and some probability knowledge can easily understand most of the material. The book includes chapters containing: unsupervised learning, semi-supervised learning, supervised learning, text mining, natural language processing, and more. It also includes background on security, statistics, and linear algebra. The website for the book contains a listing of datasets, updates, and other resources for serious practitioners.
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