Data Mining in Cyber Forensics: A Systematic Approach - Nirkhi, Smita
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Cyber-criminal hides their identity for conducting crime and it is difficult to find the evidence against them. In such scenario, to handle the problem of identity theft, digital forensics area is relevant to identify the predators with the help of analyzing the evidences left by them. Cyber forensics investigation process has become partially successful to prosecute the offender. For controlling cyber crime, there has to be improvement and development in the existing tools and techniques.Data Mining plays important role in Authorship Analysis of online messages.

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Produktbeschreibung
Cyber-criminal hides their identity for conducting crime and it is difficult to find the evidence against them. In such scenario, to handle the problem of identity theft, digital forensics area is relevant to identify the predators with the help of analyzing the evidences left by them. Cyber forensics investigation process has become partially successful to prosecute the offender. For controlling cyber crime, there has to be improvement and development in the existing tools and techniques.Data Mining plays important role in Authorship Analysis of online messages.
Autorenporträt
Dr. Smita Nirkhi is having rich teaching and research experience. Her areas of interest are Web Mining, Data Mining, Digital Forensics, Cyber security and cyber law, Pattern recognition, MANET, Machine learning and she contributed a lot in co curricular activities too. She has published more than 40 research papers.