AI in Cybersecurity

This book presents a collection of state-of-the-art AI approaches to cybersecurity and cyberthreat intelligence, offering strategic defense mechanisms for malware, addressing cybercrime, and assessing vulnerabilities to yield proactive rather than reactive countermeasures. The current variety and sc...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Sikos, Leslie F. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Intelligent Systems Reference Library, 151
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • OWL Ontologies in Cybersecurity: Conceptual Modeling of Cyber-Knowledge
  • Knowledge Representation of Network Semantics for Reasoning-Powered Cyber-Situational Awareness
  • The Security of Machine Learning Systems
  • Patch Before Exploited: An Approach to Identify Targeted Software Vulnerabilities
  • Applying Artificial Intelligence Methods to Network Attack Detection
  • Machine Learning Algorithms for Network Intrusion Detection
  • Android Application Analysis using Machine Learning Techniques.