Evidence Reconstruction in Digital Forensics using Fuzzy Methods: to Detect Misused Evidence - Softcover
Synopsis
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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Evidence Reconstruction in Digital Forensics using Fuzzy Methods to Detect Misused Evidence
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Evidence Reconstruction in Digital Forensics using Fuzzy Methods to Detect Misused Evidence
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Evidence Reconstruction in Digital Forensics using Fuzzy Methods: to Detect Misused Evidence
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Evidence Reconstruction in Digital Forensics using Fuzzy Methods
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Evidence Reconstruction in Digital Forensics using Fuzzy Methods
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 104 pp. Englisch. Seller Inventory # 9783659677892
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Evidence Reconstruction in Digital Forensics using Fuzzy Methods
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bartere MahipMahip Bartere is currently working as an Assistant Professor in G.H.Raisoni College of Engineering & Management, Amravati. He has published 40 papers in different international journals.With the rapid development of . Seller Inventory # 494405409
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Evidence Reconstruction in Digital Forensics using Fuzzy Methods
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch. Seller Inventory # 9783659677892
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Evidence Reconstruction in Digital Forensics using Fuzzy Methods : to Detect Misused Evidence
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Taschenbuch. Condition: Neu. 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. Seller Inventory # 9783659677892
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Evidence Reconstruction in Digital Forensics using Fuzzy Methods | to Detect Misused Evidence
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Taschenbuch. Condition: Neu. Evidence Reconstruction in Digital Forensics using Fuzzy Methods | to Detect Misused Evidence | Mahip Bartere | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9783659677892 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 120441439