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.
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.
Dr. Suneeta Satpathy received her Ph.D. from Department of Computer Application, Utkal University, Bhuabneswar Odisha, India in the year 2015.She has more than ten years of teaching experiences in different subject in Computer Science & Engineering Discipline like Computer Security, Data mining, and Internet Classification. Currently she is working as a Associate Professor in the department of Computer Sc & Engineering, College of Bhuabneswar, affiliated to Biju Pattanik University and Technology, Odisha. She was research fellow in computer forensic division, in the department of directorate of forensic sciences, Ministry of Home Affairs, Government of India, Hyderabad. Her research area includes Digital Image Processing, Digital Forensic, Cyber Security, etc. She has guided many postgraduate and undergraduate students for MTech and BTech Thesis. Dr.Sachi Nandan Mohanty, received his Ph.D. from IIT Kharagpur, India in the year 2015, with MHRD scholarship from Govt of India. He has recently joined as Associate Professor in the Department of Computer Science & Engineering at Gandhi Institute for Technology Bhubaneswar. His research interests include Data mining, Big Data Analysis, Cognitive Science, Fuzzy Decision Making, Brain-Computer Interface, Cognition, and Computational Intelligence. He is the recipient of 2 Best Paper awards during his Ph.D. from International Conference at Benjing, China in the year 2012, and the other at International Conference on Soft Computing Applications organized by IIT Rookie in the year 2013. He has awarded Best thesis award first prize by Computer Society of India in the year 2015 with cash prize 40,000 rupees. In addition to research, he has guided two PhD students and 21 Mtech students. He has published 15 International Journals of International (5 SCI and 10 Scopus index). His professional activities include roles as Associate Editor, Editorial board member and reviewer of Journal of Engineering Science, Advancement of Computer Technology and Applications, Robotics and Autonomous Systems (Elsevier), computational and Structural Biotechnology Journal (Elsevier). He carried out a consultancy project from Department of Higher Education; Govt of Odisha with cost of 5 lakh rupees in 2017. He is a life member of CSI, IETE, ISTE, IACSIT, and IE.
Inhaltsangabe
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.
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.
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