AI in Cybersecurity - Couverture rigide

Livre 121 sur 188: Intelligent Systems Reference Library
 
9783319988412: AI in Cybersecurity

Synopsis

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.

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À propos de l?auteur

Leslie F. Sikos, Ph.D. is a computer scientist specializing in formal knowledge representation, ontology engineering, and automated reasoning applied to various domains, including cyberthreat intelligence and network applications that require cybersituational awareness. He has worked in both academia and the industry, and acquired hands-on skills with datacenter and cloud infrastructures, cyberthreat management, and firewall configuration. He holds professional certificates and is a member of various industry-leading organizations, such as the ACM, the Association for Automated Reasoning, the IEEE Special Interest Group on Big Data for Cyber Security and Privacy, and the IEEE Computer Society Technical Committee on Security and Privacy.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.