Provenance is derivative journal information about the origin and activities of system data and processes. For a highly dynamic system like the cloud, provenance can be accurately detected and securely used in cloud digital forensic investigation activities. This paper proposes watchword oriented provenance cognition algorithm for the cloud environment. Additionally time-stamp based buffer verifying algorithm is proposed for securing the access to the detected cloud provenance. Performance analysis of the novel algorithms proposed here yields a desirable detection rate of 89.33 and miss rate of 8.66 . The securing algorithm successfully rejects 64 of malicious requests, yielding a cumulative frequency of 21.43 for MR.
Cloud service users need to be vigilant about the security breaches that can occur in the cloud @cite_3 . The authors have identified critical security issues due to the nature of service delivery model in the cloud. They have contributed to the cloud research field by identifying critical research questions regarding cloud security. The authors did not identify any malware related vulnerability, neither did their survey bring about any real life scenarios.
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Many applications which require provenance are now moving to cloud infrastructures. However, it is not widely realised that clouds have their own need for provenance due to their dynamic nature and the burden this places on their administrators. We analyse the structure of cloud computing to identify the unique challenges facing provenance collection and the scenarios in which additional provenance data could be useful.