Dissertation/Thesis Abstract

Cybersecurity Decision Patterns as Adaptive Knowledge Encoding in Cybersecurity Operations
by Willett, Keith D., Ph.D., Stevens Institute of Technology, 2016, 228; 10241522
Abstract (Summary)

Cyberspace adversaries perform successful exploits using automated adaptable tools. Cyberspace defense is too slow because existing response solutions require humans in-the-loop across sensing, sense-making, decision-making, acting, command, and control of security operations (D┼Źne et al. 2016). Security automation is necessary to provide for cyber defense dynamic adaptability in response to an agile adversary with intelligence and intent who adapts quickly to exploit new vulnerabilities and new safeguards. The rules for machine-encoding security automation must come from people; from their knowledge validated through their real-world experience. Cybersecurity Decision Patterns as Adaptive Knowledge Encoding in Cybersecurity Operations introduces cybersecurity decision patterns (CDPs) as formal knowledge representation to capture, codify, and share knowledge to introduce and enhance security automation with the intent to improve cybersecurity operations efficiency for processing anomalies.

Indexing (document details)
Advisor: Blackburn, Mark
Commitee: Cloutier, Robert, Dove, Rick, Portokalidis, George, Rohatgi, Mukesh
School: Stevens Institute of Technology
Department: Systems Engineering
School Location: United States -- New Jersey
Source: DAI-B 78/07(E), Dissertation Abstracts International
Subjects: Systems science
Keywords: Agile security, Composable security, Cybersecurity decision pattern, Cybersecurity operations, Knowledge management, Security automation
Publication Number: 10241522
ISBN: 9781369572087
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