Journal article
Cloud log forensics: Foundations, state of the art, and future directions
S Khan, A Gani, AWA Wahab, MA Bagiwa, M Shiraz, SU Khan, R Buyya, AY Zomaya
ACM Computing Surveys | ASSOC COMPUTING MACHINERY | Published : 2017
DOI: 10.1145/2906149
Abstract
Cloud log forensics (CLF) mitigates the investigation process by identifying the malicious behavior of attackers through profound cloud log analysis. However, the accessibility attributes of cloud logs obstruct accomplishment of the goal to investigate cloud logs for various susceptibilities. Accessibility involves the issues of cloud log access, selection of proper cloud log file, cloud log data integrity, and trustworthiness of cloud logs. Therefore, forensic investigators of cloud log files are dependent on cloud service providers (CSPs) to get access of different cloud logs. Accessing cloud logs from outside the cloud without depending on the CSP is a challenging research area, whereas t..
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Awarded by Australian Research Council
Funding Acknowledgements
This work was funded by the Bright Spark Unit, University of Malaya, Malaysia and a High Impact Research grant (Grant No. UM.C/625/1/HIR/MOE/FCSIT/17) from the Malaysian Ministry of Higher Education under the University of Malaya. Co-author Buyya's work was supported by a Future Fellowship by the Australian Research Council.