@inproceedings{9e5cba87fe6c4bbabfbe3979db9bffdb,
title = "Watchword-oriented and time-stamped algorithms for tamper-proof cloud provenance cognition",
abstract = "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.",
keywords = "Cloud computing, Cloud security, Empir-ical evaluation, Provenance detection",
author = "Asif Imran and Nadia Nahar and Kazi Sakib",
year = "2014",
doi = "10.1109/ICIEV.2014.6850747",
language = "English",
isbn = "9781479951796",
series = "2014 International Conference on Informatics, Electronics and Vision, ICIEV 2014",
publisher = "IEEE Computer Society",
booktitle = "2014 International Conference on Informatics, Electronics and Vision, ICIEV 2014",
address = "United States",
note = "2014 International Conference on Informatics, Electronics and Vision, ICIEV 2014 ; Conference date: 23-05-2014 Through 24-05-2014",
}