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Full Description

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.

Contents

1. Introduction to Digital Forensics. 2. Digital Forensics and Digital Investigation to Form a Suspension Bridge Flanked by Law Enforcement, Prosecution, and Examination of Computer Frauds and Cybercrime. 3. Big Data Challenges and Hype Digital Forensic: A Review in Health Care Management. 4. Hadoop Internals and Big Data Evidence. 5. Security and Privacy in Big Data Access Controls. 6. Data Science and Big Data Analytics. 7. Awareness of Problems and Defies with Big Data Involved in Network Security Management with Revised Data Fusion-Based Digital Investigation Model. 8. Phishing Prevention Guidelines. 9. Big Data Digital Forensic and Cybersecurity.