Autonomous Cyber Deception: Reasoning, Planning, Adapting, and Evaluation of HoneyThings
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- Artikel-Nr.: 10382741
Beschreibung
1 Using Deep Learning to Generate Relational HoneyData.- 2 Towards Intelligent Cyber Deception Systems.- 3 Honeypot Deception Tactics.- 4 Modeling and Analysis of Deception Games based on Hypergame Theory.- 5 Dynamic Bayesian Games for Adversarial and Defensive Cyber Deception.- 6 CONCEAL: A Strategy Composition for Resilient Cyber Deception - Framework, Metrics and Deployment.- 7 NetShifter - A Comprehensive Multi-Dimensional Network Obfuscation and Deception Solution.- 8 Deception-Enhanced Threat Sensing for Resilient Intrusion Detection.- 9 HONEYSCOPE: IoT Device Protection with Deceptive Network Views.- 10 gExtractor: Automated Extraction of Malware Deception Parameters for Autonomous Cyber Deception.- 11 Malware Deception with Automatic Analysis and Generation of HoneyResource.
Eigenschaften
Breite: | 162 |
Gewicht: | 528 g |
Höhe: | 244 |
Länge: | 20 |
Seiten: | 235 |
Sprachen: | Englisch |
Autor: | Cliff Wang, Ehab Al-Shaer, Jinpeng Wei, Kevin W. Hamlen |
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