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Triage in Live Digital Forensic Analysis

Authors: Muhammad Bashir; M. Khan;

Triage in Live Digital Forensic Analysis

Abstract

Due to frequent use of Internet and with technological advancements, cyber and malware attacks over the digital devices have increased manifold. Activities performed electronically can be investigated by means of digital forensic analysis methodologies. Live digital forensic tools are used for digital evidence collection and investigations of malicious activities that occurred on a standalone system or networks. Since compromised system remains active while using these tools, some serious issues relating to malicious functionalities and policy violations could lead to serious damages like data theft or data loss. In this paper, we present a critical review of the triage in live forensic. This paper discusses several techniques being used for performing live forensic analysis and critically evaluate their efficacy in terms of their applicability and reliability. A brief anecdote about the pros and cons of these techniques are also discussed. We present the findings of our study in the critical section.

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    8
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Average
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