Evidence Reconstruction in Digital Forensics using Fuzzy Methods : to Detect Misused Evidence

Language: English

Published by LAP LAMBERT Academic Publishing, 2020

3659677892 / 9783659677892

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - With the rapid development of computer networks the daily work of all trades is more and more dependent on computers. As a result, high-tech crimes, commercial fraud and other phenomena involving computers occur more frequently. So people pay more and more attention to digital forensics. Digital forensics are concerned with the use of digital information (image or document file) as source of evidence in investigations and legal proceedings. This project focuses on the analysis part of digital forensics. Analysis concerned to reconstruct digital evidence and draw conclusions based on the evidence found. This project applies fuzzy c-means clustering based on swarm intelligence to digital forensics. The aim of clustering is to partition set of data into clusters. A drawback of clustering is that it easily traps into local minima. To overcome this problem, swarm intelligence is used. Swarm Intelligence is an evolutionary, nature inspired computer technique of global search strategy.

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Title
Evidence Reconstruction in Digital Forensics using Fuzzy Methods : to Detect Misused Evidence
Author
Mahip Bartere
Publisher
LAP LAMBERT Academic Publishing
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659677892
ISBN 13
9783659677892
Item weight
173 grams
Dimensions
220x150x7 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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