Towards an Operational Semantic Theory of Cyber Defense Against Advanced Persistent Threats

نویسندگان

  • Steven Meckl
  • Gheorghe Tecuci
  • Mihai Boicu
  • Dorin Marcu
چکیده

This paper presents current work on developing an operational semantic theory of cyber defense against advanced persistent threats (APTs), which is grounded in cyber threat analytics, science of evidence, knowledge engineering, and machine learning. After introducing advanced persistent threats, it overviews a systematic APT detection framework and the corresponding APT detection models, the formal representation and learning of these models in the knowledge base of a cognitive agent, and the development and integration of such agents into a specific cyber security operation center. advanced persistent threat, cyber threat analytics, cognitive assistant, evidence-based reasoning, knowledge-based learning, ontology, argumentation models, symbolic probabilities.

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تاریخ انتشار 2015