LogDrive: a proactive data collection and analysis framework for time-traveling forensic investigation in IaaS cloud environments

LogDrive: a proactive data collection and analysis framework for time-traveling forensic investigation in IaaS cloud environments

Abstract This paper presents the LogDrive framework for mitigating the following problems of storage forensics in Infrastructure-as-a-Service (IaaS) cloud environments: volatility, increasing volume of forensic data, and anti-forensic attacks that hide traces of incidents in virtual machines. The pr...

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Bibliographic Details
Main Authors: Manabu Hirano, Natsuki Tsuzuki, Seishiro Ikeda, Ryotaro Kobayashi
Format: Article
Language:English
Published: SpringerOpen 2018-10-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Cloud forensics
Surveillance
Anti-forensics
Hypervisor
Virtual machine monitor
Parallel distributed processing
Online Access:http://link.springer.com/article/10.1186/s13677-018-0119-2

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http://link.springer.com/article/10.1186/s13677-018-0119-2

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