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Big Data Analytics and Computing for Digital Forensic Investigations (Hardcover)
Loot Price: R2,373
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Big Data Analytics and Computing for Digital Forensic Investigations (Hardcover)
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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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