Reference Architecture for a Cloud Forensic Readiness System

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Title: Reference Architecture for a Cloud Forensic Readiness System
Authors: De Marco, Lucia
Ferrucci, Filomena
Kechadi, Tahar
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Date: 2014
Abstract: The Digital Forensic science is participating to a brand new change represented by the management of incidents in the Cloud Computing Services. Due that the Cloud Computing architecture is uncontrollable because of some specific features,its use to commit crimes is becoming a very critical issue, too. Proactive Cloud Forensics becomes a matter of urgency, due to its capability of collecting critical data before crimes happen, thus saving time and money for the subsequent investigations. In this paper, a proposal for a Cloud Forensic Readiness System is presented. It is conceived as reference architecture, in order to be of general applicability, not technically constrained by any Cloud architecture. The principal aim of this work is to extend our initial proposed Cloud Forensic Readiness System reference architecture, by providing more details and an example of its application by exploiting the Open Stack Cloud Platform.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Copyright (published version): 2014 the authors
Keywords: Machine learningStatisticsCloud computingCloud forensicsCloud forensic readiness systemCybercrimesCyber-securityForensic readinessReference architectureOpenStack
Language: en
Status of Item: Peer reviewed
Appears in Collections:Computer Science Research Collection
Insight Research Collection

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