Print Email Facebook Twitter Towards a roadmap for development of intelligent data analysis based cyber attack detection systems Title Towards a roadmap for development of intelligent data analysis based cyber attack detection systems Author De Vries, J.A. Contributor Tan, Y.H. (mentor) Van den Berg, J. (mentor) Warnier, M.E. (mentor) Hoogstraaten, H. (mentor) Faculty Technology, Policy and Management Department Information and Communication Technology Programme System engineering, Policy Analysis and Management Date 2012-07-05 Abstract Cyber-attacks against companies and governments are seeing an increase in complexity and persistence. These more complex attacks are aimed at penetrating corporate and government networks to obtain classified information. Common intrusion detection methods lack in their ability to detect such complex attacks. A framework is proposed to relate attack characteristics to analysis methods and business criteria. Traditional signature based detection algorithms still remain useful but the advanced approach of the attackers requires the use of intelligent data analysis. The framework is used as a roadmap to design a system capable of detection advanced persistent threats. Subject Cyber espionageintrusion detectionmachine learningintelligent data analysis To reference this document use: http://resolver.tudelft.nl/uuid:090446d3-7562-41ce-94d3-ab7153cd05d5 Part of collection Student theses Document type master thesis Rights (c) 2012 De Vries, J.A. Files PDF Scientific_paper_J.A._de_Vries.pdf 420.84 KB PDF Master_Thesis_J.A._de_Vries.pdf 1.12 MB Close viewer /islandora/object/uuid:090446d3-7562-41ce-94d3-ab7153cd05d5/datastream/OBJ1/view