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DOI: 10.14569/IJACSA.2016.070116
PDF

VoIP Forensic Analyzer

Author 1: M Mohemmed Sha
Author 2: Manesh T
Author 3: Saied M. Abd El-atty

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 1, 2016.

  • Abstract and Keywords
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Abstract: People have been utilizing Voice over Internet Protocol (VoIP) in most of the conventional communication facilities which has been of assistance in the enormous attenuation of operating costs, as well as the promotion of next- generation communication services-based IP. As an intimidating upshot, cyber criminals have correspondingly started interjecting the environment and creating new challenges for the law enforcement system in any Country. This paper presents an idea of a framework for the forensic analysis of the VoIP traffic over the network. This forensic activity includes spotting and scrutinizing the network patterns of VoIP-SIP stream, which is used to initiate a session for the communication, and regenerate the content from VoIP-RTP stream, which is employed to convey the data. Proposed network forensic investigation framework also accentuates on developing an efficient packet restructuring algorithm for tracing the depraved users involved in a conversation. Network forensics is the basis of proposed work, and performs packet level surveillance of VoIP followed by reconstruction of original malicious content or network session between users for their prosecution in the court.

Keywords: Forensics; Packet Reordering; Session Initiation; Real Time Transfer

M Mohemmed Sha, Manesh T and Saied M. Abd El-atty, “VoIP Forensic Analyzer” International Journal of Advanced Computer Science and Applications(IJACSA), 7(1), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070116

@article{Sha2016,
title = {VoIP Forensic Analyzer},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070116},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070116},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {1},
author = {M Mohemmed Sha and Manesh T and Saied M. Abd El-atty}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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