Skip to Main content Skip to Navigation
New interface
Conference papers

Machine-assisted Cyber Threat Analysis using Conceptual Knowledge Discovery: – Position Paper –

Abstract : Over the last years, computer networks have evolved into highly dynamic and interconnected environments, involving multiple heterogeneous devices and providing a myriad of services on top of them. This complex landscape has made it extremely difficult for security administrators to keep accurate and be effective in protecting their systems against cyber threats. In this paper, we describe our vision and scientific posture on how artificial intelligence techniques and a smart use of security knowledge may assist system administrators in better defending their networks. To that end, we put forward a research roadmap involving three complimentary axes, namely, (I) the use of FCA-based mechanisms for managing configuration vulnerabilities, (II) the exploitation of knowledge representation techniques for automated security reasoning, and (III) the design of a cyber threat intelligence mechanism as a CKDD process. Then, we describe a machine-assisted process for cyber threat analysis which provides a holistic perspective of how these three research axes are integrated together.
Complete list of metadata

Cited literature [20 references]  Display  Hide  Download
Contributor : Victor Codocedo Connect in order to contact the contributor
Submitted on : Thursday, August 27, 2015 - 12:13:56 PM
Last modification on : Tuesday, October 25, 2022 - 4:23:23 PM
Long-term archiving on: : Saturday, November 28, 2015 - 10:16:36 AM


Files produced by the author(s)


  • HAL Id : hal-01186213, version 1


Martín Barrère, Gustavo Betarte, Victor Codocedo, Marcelo Rodríguez, Hernán Astudillo, et al.. Machine-assisted Cyber Threat Analysis using Conceptual Knowledge Discovery: – Position Paper –. FCA4AI 2015 - Workshop What can FCA do for Artificial Intelligence?, Jul 2015, Buenos Aires, Argentina. pp.75 - 85. ⟨hal-01186213⟩



Record views


Files downloads