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Aprašymas

Digital Forensics has recently gained a notable development and become the most demanding area in today's information security requirement. The 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 The book is more premeditated to make professionals as well as researchers get ready with the next generation security systems to mount the raising challenges of computer frauds and cybercrimes as well as the digital forensic investigations. Dr Suneeta Satpathy has more than ten years of teaching experiences in different subject in Computer Science & Engineering Discipline. She is currently working as an Associate Professor in the department of Computer Sc & Engineering, College of Bhuabneswar, affiliated to Biju Pattanik University and Technology, Odisha. Her research interests include Computer Forensics, Cyber Security, Data Fusion, Data Mining, Big Data Analysis, and Decision Mining. Dr Sachi Nandan Mohanty is an Associate Professor in the Department of Computer Science & 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.