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.
Identified security as an important issue that decelerates the widespread growth of cloud computing @cite_3 . Complications for data privacy and data protection have plagued the market of the cloud. The assurance of data integrity is a necessity to ensure acceptance of cloud services in all sectors. The authors suggested a new model that extends the existing model in this regard. However the new model should not threaten the features of the existing model.
@cite_3
1608562624
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.