Informing the decision process in an automated intrusion response system

Author:

Papadaki M.,Furnell S.M.

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality,Software

Reference16 articles.

1. State of the practice of intrusion detection technologies;Allen,2000

2. NIST special publication on intrusion detection systems;Bace,2001

3. Carver Jr CA, Hill JMD, Pooch UW. Limiting uncertainty in intrusion response. In: Second annual IEEE systems, man, and cybernetics information assurance and security workshop, West Point, New York; June 5–6, 2001.

4. Davey J. The CCTA risk analysis and management methodology (CRAMM). Current perspectives in healthcare computing; 1991. p. 360–5.

5. Intrusion detection FAQ: passive fingerprinting utilizing the telnet protocol negotiation data;Doyle,2003

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1. A Systematic Mapping Study on Intrusion Response Systems;IEEE Access;2024

2. A Taxonomy of state of the art in Intrusion Response System;2022 International Conference on Futuristic Technologies (INCOFT);2022-11-25

3. A response selection model for intrusion response systems: Response Strategy Model (RSM);Security and Communication Networks;2013-11-07

4. A Response Strategy Model for Intrusion Response Systems;IFIP Advances in Information and Communication Technology;2012

5. Ex-SDF: An Extended Service Dependency Framework for Intrusion Impact Assessment;Security and Privacy – Silver Linings in the Cloud;2010

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