http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Artificial Intelligence and Blockchain in Digital Forensics
Over the past two decades, improvements in the information technology landscape have made the collection, preservation, and analysis of digital evidence extremely important. This book can provide a wide-ranging overview of how AI and blockchain can be used to solve problems in digital forensics using advanced tools and applications.
Cover -- Half Title -- Untitled -- Series -- Title -- Copyright -- Table of Contents -- Preface -- Acknowledgment -- List of Contributors -- List of Figures -- List of Tables -- List of Abbreviations -- 1 Digital Forensics Meets AI: A Game-changer for the 4th Industrial Revolution -- 1.1 Introduction -- 1.2 Digital Forensics -- 1.2.1 Growing need for digital forensics -- 1.2.2 Process of digital forensics -- 1.2.3 Advantages offered and limitations confronted by digital forensics -- 1.3 AI and Digital Forensics -- 1.3.1 Contribution of AI in the realm of digital forensics
1.3.1.1 Knowledge representation -- 1.3.1.2 Reasoning process -- 1.3.1.3 Pattern recognition -- 1.3.1.4 Knowledge discovery -- 1.3.1.5 Adaptation -- 1.3.2 Different variants of AI-based digital forensics -- 1.3.3 AI techniques used by digital forensics investigators -- 1.3.4 Deep learning tools and techniques helping in the domain of digital forensics -- 1.4 Latest AI Trends Impacting Digital Forensics -- 1.4.1 AI has taken a leap from novelty to necessity -- 1.4.2 Data-driven AI can generate valuable content -- 1.4.3 Smaller datasets are as amenable as big data
1.4.4 Edge analytics: An upcoming AI trend -- 1.4.5 Citizen data scientists: The next big thing under AI -- 1.4.6 AI has an ethical and responsible role in society -- 1.5 Challenges and the Road Ahead -- 1.5.1 Key challenges to be addressed -- 1.5.1.1 Heterogeneity, resulting in lack of standardization -- 1.5.1.2 AI can be a double-edged sword -- 1.5.1.3 Privacy-preserving and legitimacy outcry -- 1.5.2 Road to the future -- 1.6 Conclusion -- References -- 2 Mitigating and Controlling Virtual Addiction Through Web Forensics and Deep Learning -- 2.1 Introduction
2.2 Internet Addiction (IA) Types -- 2.2.1 Cyberbullying addiction -- 2.2.2 Web obligations -- 2.2.3 Addiction to cyberspace relationships -- 2.2.4 Anxious searching for content -- 2.2.5 Gaming addiction -- 2.2.6 Smartphone mobile app addiction -- 2.3 Human Behavior Analysis -- 2.4 Deep Learning's Relevance to HumanBehavior Prediction -- 2.5 Forms of online mining -- 2.5.1 HTML page information extraction -- 2.5.2 Commonly associated metadata extraction -- 2.5.3 Customized web usage monitoring -- 2.6 Web Usage Mining Process -- 2.7 RNN-based Analysis of Web History Log Data
2.8 Feed-forward Networks Versus RNNs -- 2.9 RNN Relying on LSTM -- 2.10 Various Categories of Forensics -- 2.10.1 Digital forensics -- 2.10.2 Forensics over networking -- 2.10.3 Web forensics -- 2.10.4 Cloud forensics -- 2.10.5 Mobile forensics -- 2.10.6 Web browser forensics -- 2.11 Web Browser Artifacts -- 2.11.1 Navigation history -- 2.11.2 Autocomplete data -- 2.11.3 Cache -- 2.11.4 Favicons -- 2.11.5 Browser session storage -- 2.11.6 Form data -- 2.12 Analysis of Website Usage History -- 2.13 Conclusion -- 2.14 Acknowledgement -- References
Description based upon print version of record.
3 Automatic Identification of Cyber Predators Using Text Analytics and Machine Learning
Dr P. Karthikeyan obtained the Bachelor of Engineering (B.E.) in Computer Science and Engineering from Anna University, Chennai, and Tamil Nadu, India, in 2005 and received his Master of Engineering (M.E) in Computer Science and Engineering from Anna University, Coimbatore India in 2009. He completed his PhD degree at Anna University, Chennai, in 2018. He is currently working as post-doctoral researcher in national Chung Cheng University, Taiwan. He was skilled in developing projects and carrying out research in the area of Cloud computing and Data Science with programming skills in Java, Python, R and C. He published more than 20 International journals with a good impact factor and presented more than 10 International conferences. He was the reviewer of Elsevier, Springer, Inderscience and reputed Scopus indexed journals. He is an editorial board member in EAI Endorsed Transactions on Energy Web, The International Arab Journal of Information Technology and Blue Eyes Intelligence Engineering and Sciences Publication journal. Dr Hari Mohan Pandey received the B.Tech. Degree from Uttar Pradesh Technical University, India, the M.Tech. Degree from the Narsee Monjee Institute of Management Studies, India, and a PhD degree in computer science and engineering from the Amity University, India. He worked as a Postdoctoral Research Fellow at Middlesex University, London, U.K. He also worked on a European Commission project - Dream4car under H2020. He is a Research associate professor at Bournemouth University, U.K. He is specialized in computer science and engineering, and his research area includes artificial intelligence, soft computing, natural language process, language acquisition, machine learning and deep learning. He is the author of various books in computer science and engineering, published over 50 scientific papers in reputed journals and conferences. He has delivered keynotes, invited lectures and served as session chair for international conferences. He has served as a leading guest editor for several journals such as Swarm And Evolutionary Computation Elsevier, Neural Commutating and Applications Springer, Neural Processing Letter Springer, Intelligent Decision Technology Top Press, Wseas Transactions On Systems, International Journal Of Artificial Intelligence And Paradigm Inderscience, and International Journal Of Artificial Intelligence and Soft Computing Inderscience. He has served as a reviewer for Applied Soft Computing, Elsevier, Ieee Transactions On Evolutionary Computation, Ieee Transactions On Cybernetics, Acm Transactions On Multimedia Computing, Swarm And Evolutionary Computing Elsevier etc. Dr Pandey is an Associate Fellow of the Higher Education Academy (U.K. Professional Standard Framework) and has rich experience in teaching at the higher education level. He was the recipient of the Global Award For The Best Computer Science Faculty of the year 2015, the award for completing Indo-Us Project Gentle, an award (Certificate of Exceptionalism) from the Prime Minister of India, and an award for developing Innovative Teaching And Learning Models for higher-education. Dr. Velliangiri Sarveshwaran obtained his Bachelor's in Computer Science and Engineering from Anna University, Chennai. Masters in Computer Science and Engineering from Karpagam University, Coimbatore, and Doctor of Philosophy in Information and Communication Engineering from Anna University, Chennai. Currently, he is working as an Assistant Professor at SRM Institute of Science and Technology, Kattankulathur Campus, Chennai. He was a member of the Institute of Electrical and Electronics Engineers (IEEE) and the International Association of Engineers (IAENG). He was the reviewer of IEEE Transactions, Elsevier, Springer, Inderscience, and reputed Scopus indexed journals. He is specialized in Network Security and Optimization techniques. He published in more than 30 International journals and presented at more than 10 International conferences. He also serves as a technical program committee and conference chair at many international conferences. He also serves as an area editor in the EAI Endorsed Journal of Energy web journal.
COMPUTERS / Programming / Systems Analysis & Design
River Publishers Series in Digital Security and Forensics