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To expedite the forensic investigation process in the cloud, excessive and yet volatile data need to be acquired, transmitted, and analyzed in a timely manner. A common assumption for most existing forensic systems is that credible data can always be collected from a cloud infrastructure, which might be susceptible to various exploits. The proposed system presents the design, implementation, and evaluation of LiveForen, a system that enforces a trustworthy forensic data acquisition and transmission process in the cloud, whose computer platforms’ integrity has been verified. To fulfill this objective, it uses two secure protocols that verify the fingerprints of the computer platforms, as well as the attributes of the human agents, by taking advantage of the trusted platform module and the attribute-based encryption. The proposed framework is modeled with reversible watermarking and compression technique. To transmit forensic data as a data stream and verify its integrity at the same time, a unique watermark is embedded into the data stream without altering the data itself. While using the fragile watermarking it is crucial to restore the original image without any distortions. The watermarking techniques satisfying those requirements are referred to as ‘reversible watermarking’. Reversible watermarking is designed so that it can be removed to completely restore the original image.
Keywords:
Liveforen, Reversible Watermarking, ABE, Forensic Data
Cite Article:
"LiveForen : Ensuring Live Forensic Integrity In The Cloud ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.5, Issue 5, page no.54 - 58, May-2020, Available :http://www.ijrti.org/papers/IJRTI2005010.pdf
Downloads:
000204824
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator