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Big Data Analytics and Computing for Digital Forensic Investigations
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Big Data Analytics and Computing for Digital Forensic Investigations

Book Details

Format Hardback or Cased Book
ISBN-10 0367456788
ISBN-13 9780367456788
Publisher Taylor & Francis Ltd
Imprint CRC Press
Country of Manufacture GB
Country of Publication GB
Publication Date Apr 7th, 2020
Print length 214 Pages
Weight 502 grams
Dimensions 16.20 x 24.10 x 2.00 cms
Ksh 14,950.00
Werezi Extended Catalogue 0 in stock

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The book investigates the areas of digital forensics, digital investigation, and data analysis procedures as they apply to computer fraud and cyber crime, with the main objective of describing a variety of digital crimes and retrieving potential digital evidence.

Digital forensics has recently gained a notable development and become the most demanding area in today?s information security requirement. This book investigates the areas of digital forensics, digital investigation and data analysis procedures as they apply to computer fraud and cybercrime, with the main objective of describing a variety of digital crimes and retrieving potential digital evidence.

Big Data Analytics and Computing for Digital Forensic Investigations

gives a contemporary view on the problems of information security. It presents the idea that protective mechanisms and software must be integrated along with forensic capabilities into existing forensic software using big data computing tools and techniques.

Features

  • Describes trends of digital forensics served for big data and the challenges of evidence acquisition
  • Enables digital forensic investigators and law enforcement agencies to enhance their digital investigation capabilities with the application of data science analytics, algorithms and fusion technique

This book is focused on helping professionals as well as researchers to get ready with next-generation security systems to mount the rising challenges of computer fraud and cybercrimes as well as with digital forensic investigations.

Dr Suneeta Satpathy has more than ten years of teaching experience in different subjects of the Computer Science and Engineering discipline. She is currently working as an associate professor in the Department of Computer Science and Engineering, College of Bhubaneswar, affiliated with Biju Patnaik University and Technology, Odisha. Her research interests include computer forensics, cybersecurity, data fusion, data mining, big data analysis and decision mining.

Dr Sachi Nandan Mohanty is an associate professor in the Department of Computer Science and Engineering at ICFAI Tech, ICFAI Foundation for Higher Education, Hyderabad, India. His research interests include data mining, big data analysis, cognitive science, fuzzy decision-making, brain?computer interface, cognition and computational intelligence.


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