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Number 8

Analyzing Master Boot Record for Forensic Investigations

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  • A.H. Mohamed and K.H. Marzouk 2015. Analyzing Master Boot Record for Forensic Investigations. International Journal of Applied Information Systems. 10, 2 (December 2015), 1-5. DOI=http://dx.doi.org/10.5120/ijais451392 
  • @article{10.5120/ijais2017451568,
author = {A.H. Mohamed and K.H. Marzouk},
title = {Analyzing Master Boot Record for Forensic Investigations},
journal = {International Journal of Applied Information Systems},
issue_date = {December 2015},
volume = {10},
number = {},
month = {December},
year = {2015},
issn = {},
pages = {1-5},
numpages = {},
url = {/archives/volume10/number2/883-883-2016451541},
doi = { 10.5120/ijais2015451465},
publisher = {Publisher: Foundation of Computer Science (FCS), NY, USA},
address = {}
}

  • %1 451392
%A Charles B.  Malungu
%A Christopher A.  Moturi
%T Analyzing Master Boot Record for Forensic Investigations
%J International Journal of Applied Information Systems
%@ 
%V 10
%N 
%P 1-5
%D 2015
%I Publisher: Foundation of Computer Science (FCS), NY, USA

Abstract

Wireless sensor networks (WSNs) have great attention and applications in many fields in the recent years. One of the main challenges in using the WSNs is their energy consumptions. Although, many methods have been developed to overcome this problem, there are still some limitations facing the WSNs in this manner. In this paper, the proposed system introduces a new system that uses genetic algorithm (GA) for optimizing the node deployment, their locations and dividing the sensor nodes into two modes of operation that can minimize the energy consumption of the WSN. Suggested system has been applied for a simulated WSN used in the radiation discovering sites as a case of study. Its obtained results have proved its success to be applied in the practical sites.

References

    Keywords

    MBR, Bootstrap, Partition Table, Magic Number, Forensic Investigation

    Index Terms

    Computer Science
    Information Sciences