Buch
AI in Cybersecurity
Leslie F. Sikos (Hrsg.)
192,59
EUR
Lieferzeit 12-13 Tage
Übersicht
Verlag | : | Springer International Publishing |
Buchreihe | : | Intelligent Systems Reference Library (Bd. 151) |
Sprache | : | Englisch |
Erschienen | : | 27. 09. 2018 |
Seiten | : | 205 |
Einband | : | Gebunden |
Höhe | : | 235 mm |
Breite | : | 155 mm |
Gewicht | : | 502 g |
ISBN | : | 9783319988412 |
Sprache | : | Englisch |
Autorinformation
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.
Inhaltsverzeichnis
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.