A digital forensic model for introspection of virtual machines in cloud computing

Alluri, B. K. S. P. Kumar Raju; Geethakumari, G.

doi:10.1109/spices.2015.7091553

Cited by 7 publications

(2 citation statements)

References 14 publications

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“…In second experiment evaluate performance time evaluation between propose as well as some existing approaches. Four different existing approaches has been evaluated in Figure 2 like [5,6,7,8], according to that experiment analysis system shows how propose system provides better results than classical approaches..…”

Section: Results Illustration and Experiments Analysismentioning

confidence: 99%

“…We offer a skilled approach to forensic examination in the cloud using virtual machine (VM) snapshots. Identification of digital forensic in the cloud can add a new dimension to the process of creating confidence in the cloud in [5]. But Lots of cloud features such as transparency, virtualization, lack of legal issues etc., Challenges for the Cloud Forensics Whether it is a traditional digital forensic or cloud forensic, collecting comprehensive data for analysis is a major challenge in the investigation.…”

Section: Litarature Surveymentioning

confidence: 99%

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SAAS: Attack Detection and Prevention with Forensic in cloud environment

Rahila*,

Khonde

2019

IJITEE

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Basically cloud computing security is essential nowadays, it has arisen as a technology to allow users as well as clients to access communications, data storage, software as well as exploitation Environment according to pay-as-what-use structure. Conventional digital forensic can’t be investigated due to some technical challenges like environmental as well as technical. The vibrant nature of cloud computing provides massive opportunities to identify malicious request using various security algorithms in cloud environment. Proposed research work identifies the current issues and provides solutions to reduce some challenges in the cloud environment. In this paper system proposed forensic investigation of cloud security for trusted and untrusted environments. System illustrated the various machine learning algorithms for eliminate the malicious request, and investigate the malicious user also. Proposed method generate the user log base snapshot during the active session and manual investigator can verify all logs and identify the malicious user. We offer a skilled technique for forensic examination in the cloud with the help of virtual machine (VM) and generate snapshots. The experimental analysis shows illustration of proposed security of system.

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Section: Results Illustration and Experiments Analysismentioning

confidence: 99%

Section: Litarature Surveymentioning

confidence: 99%