Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Three log analysis methods were proposed in this book, to identify, analyze and preserve the potential evidence in a log file. An intrusion detection method based on Bayesian Fuzzy Clustering (BFC) and two levels of Gravitational- Group search based SVNN is proposed to help cloud forensic investigators in identifying potential evidence about an intrusion. A multi-level and mutual log integrity preservation approach using public key infrastructure for cloud forensics is proposed to prevent a criminal or cloud service provider or the forensic investigator himself tampering with the evidence on a log file, to make the log file presentable evidence before law enforcement. A security protocol for evidence integrity preservation in cloud forensics using Blockchain technology is proposed to make the preservation of evidence (log) easy, transparent, and tamperproof, to make it convenient for different entities involved in the investigation and post-investigation process, to interact, retrieve and verify the log files. 180 pp. Englisch. Codice articolo 9786206755517
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Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Three log analysis methods were proposed in this book, to identify, analyze and preserve the potential evidence in a log file. An intrusion detection method based on Bayesian Fuzzy Clustering (BFC) and two levels of Gravitational- Group search based SVNN is. Codice articolo 1137519627
Quantità: Più di 20 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Three log analysis methods were proposed in this book, to identify, analyze and preserve the potential evidence in a log file. An intrusion detection method based on Bayesian Fuzzy Clustering (BFC) and two levels of Gravitational- Group search based SVNN is proposed to help cloud forensic investigators in identifying potential evidence about an intrusion. A multi-level and mutual log integrity preservation approach using public key infrastructure for cloud forensics is proposed to prevent a criminal or cloud service provider or the forensic investigator himself tampering with the evidence on a log file, to make the log file presentable evidence before law enforcement. A security protocol for evidence integrity preservation in cloud forensics using Blockchain technology is proposed to make the preservation of evidence (log) easy, transparent, and tamperproof, to make it convenient for different entities involved in the investigation and post-investigation process, to interact, retrieve and verify the log files. Codice articolo 9786206755517
Quantità: 1 disponibili
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Three log analysis methods were proposed in this book, to identify, analyze and preserve the potential evidence in a log file. An intrusion detection method based on Bayesian Fuzzy Clustering (BFC) and two levels of Gravitational- Group search based SVNN is proposed to help cloud forensic investigators in identifying potential evidence about an intrusion. A multi-level and mutual log integrity preservation approach using public key infrastructure for cloud forensics is proposed to prevent a criminal or cloud service provider or the forensic investigator himself tampering with the evidence on a log file, to make the log file presentable evidence before law enforcement. A security protocol for evidence integrity preservation in cloud forensics using Blockchain technology is proposed to make the preservation of evidence (log) easy, transparent, and tamperproof, to make it convenient for different entities involved in the investigation and post-investigation process, to interact, retrieve and verify the log files.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 180 pp. Englisch. Codice articolo 9786206755517
Quantità: 1 disponibili