Log Analysis Methods Cloud by Siva Rama (8 results)

Condition: New.

Taschenbuch. Condition: Neu. Log Analysis Methods for Cloud Forensics | For Assisting Cybercrime Investigatons in Cloud Environments | Siva Rama Krishna T. (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206755517 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condition: 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.

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.

Condition: 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.

Taschenbuch. Condition: 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.

Taschenbuch. Condition: 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.