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Multi-Agent Systems for Dynamic Forensic Investigation

Kendrick, P and Hussain, A and Criado, N (2016) Multi-Agent Systems for Dynamic Forensic Investigation. In: Intelligent Computing Theories and Application: Lecture Notes in Computer Science . (2016 International Conference on Intelligent Computation, 02 August 2016 - 05 August 2016, Lanzhou,China).

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Abstract

In recent years Multi-Agent Systems have proven to be a useful paradigm for areas where inconsistency and uncertainty are the norm. Network security environments suffer from these problems and could benefit from a Multi-Agent model for dynamic forensic investigations. Building upon previous solutions that lack the necessary levels of scalability and autonomy, we present a decentralised model for collecting and analysing network security data to attain higher levels of accuracy and efficiency. The main contributions of the paper are: (i) a Multi-Agent model for the dynamic organisation of agents participating in forensic investigations; (ii) an agent architecture endowed with mechanisms for collecting and analysing network data; (iii) a protocol for allowing agents to coordinate and make collective decisions on the maliciousness of suspicious activity; and (iv) a simulator tool to test the proposed decentralised model, agents and communication protocol under a wide range of circumstances and scenarios.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: 08 Information And Computing Sciences
Subjects: Q Science > QA Mathematics > QA76 Computer software
R Medicine > RA Public aspects of medicine > RA1001 Forensic Medicine. Medical jurisprudence. Legal medicine
Divisions: Computer Science
Publisher: Springer
Date Deposited: 08 Dec 2016 10:59
Last Modified: 08 Dec 2016 11:48
URI: http://researchonline.ljmu.ac.uk/id/eprint/3582

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