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Chargement... Malware Data Science: Attack Detection and Attributionpar Joshua Saxe
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"Security has become a ""big data"" problem. The growth rate of malware has accelerated to tens of millions of new files per year while our networks generate an ever-larger flood of security-relevant data each day. In order to defend against these advanced attacks, you'll need to know how to think like a data scientist. In Malware Data Science, security data scientist Joshua Saxe introduces machine learning, statistics, social network analysis, and data visualization, and shows you how to apply these methods to malware detection and analysis. You'll learn how to: ́Ø Analyze malware using static analysis ́Ø Observe malware behavior using dynamic analysis ́Ø Identify adversary groups through shared code analysis ́Ø Catch 0-day vulnerabilities by building your own machine learning detector ́Ø Measure malware detector accuracy ́Ø Identify malware campaigns, trends, and relationships through data visualization Whether you're a malware analyst looking to add skills to your existing arsenal, or a data scientist interested in attack detection and threat intelligence, Malware Data Science will help you stay ahead of the curve." Aucune description trouvée dans une bibliothèque |
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Google Books — Chargement... GenresClassification décimale de Melvil (CDD)005.84Information Computing and Information Computer programming, programs, data, security Computer Security Viruses and MalwareClassification de la Bibliothèque du CongrèsÉvaluationMoyenne: Pas d'évaluation.Est-ce vous ?Devenez un(e) auteur LibraryThing. |