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An Evidential Network Forensics Analysis with Metrics for Conviction Evidence

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dc.contributor.author Ahmad Roshidi Amran
dc.contributor.author Amna Saad
dc.contributor.author Mohd Raziff Abd Razak
dc.contributor.author UniKL BMI
dc.date.accessioned 2015-03-19T09:09:42Z
dc.date.available 2015-03-19T09:09:42Z
dc.date.issued 2015-03-19
dc.identifier.uri 10.1109/ICE2T.2014.7006222
dc.description UniKL BMI en_US
dc.description.abstract Abstract - Analysing forensics evidence is an essential step in proving the malicious intents of an attacker or adversary and the severity of the damages caused to any network. This paper presents how security metrics can be used to sustain a sense of credibility to network evidence gathered as an elaboration and extension to an embedded feature of Network Forensic Readiness (NFR) – Redress that is defined as holding intruders responsible. We apply the Common Vulnerability Scoring System (CVSS) metrics to show that a forensics metrics system could assess the severity of network attacks committed, thus giving a degree of credibility to the evidence gathered. This way, hard evidence could be objectively collected to lend support to the resource intensive process of investigation and litigation, leading to successful conviction, while reducing effort expended on the process. en_US
dc.description.sponsorship IEEE en_US
dc.title An Evidential Network Forensics Analysis with Metrics for Conviction Evidence en_US
dc.conference.name International Conference on Engineering Technology and Technopreneurship (ICE2T 2014) en_US
dc.conference.year 2014 en_US


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