Cyber Security and Digital Forensics

This book features peer-reviewed papers from the International Conference on Recent Developments in Cyber Security, organized by the Center for Cyber Security and Cryptology. It focuses on key topics such as information privacy and secrecy, cryptography, cyber threat intelligence and mitigation, cyber-physical systems, quantum cryptography, and blockchain technologies and their applications. This volume is a unique collection of chapters from various disciplines united by a common theme, making it immensely valuable for both academic researchers and industry practitioners.

Presents research works in the field of cyber security and digital forensics Provides original works presented at ReDCySec-2024 Serves as a reference for researchers and practitioners in academia and industry

Autorentext

Dr. Nihar Ranjan Roy is an Associate Professor and Head of the Department of Computer Science and Engineering at Vivekanand Institute of Professional Studies - Technical Campus in Pitampura, Delhi, India. He holds a Doctorate and a Master's degree (M.Tech) in Information Technology from Guru Gobind Singh Indraprastha University, Delhi, and a Bachelor of Engineering degree from Biju Patnaik University of Technology, Rourkela, Odisha, which was formerly known as Utkal University, Orissa. With over 21 years of teaching experience in esteemed colleges and universities across Delhi-NCR, he has authored and co-authored numerous research papers in prestigious journals and international conferences. His research interests include computer networks, cyber security and forensics, and machine learning. Additionally, he has five published patents. Dr. Roy is a lifetime member of the Cryptology Research Society of India and a Senior Member of IEEE. He is also an IBM-certified instructor for 16 courses, covering topics such as Open Source Software and Open Standards, Web Programming using PHP and HTML, Open Source Mobile Platform (Android) Programming, Administering Open Source Systems (Linux), Business Intelligence, Data Mining and Predictive Modeling, Multidimensional Modeling, Applied Statistical Analysis, Social, Mobile and Web Analytics, Big Data and Hadoop, Cloud Computing and Virtualization, and Android Application Development.

Dr. Amit Prakash Singh has been a Professor at the University School of Information, Communication & Technology at Guru Gobind Singh Indraprastha University (GGSIPU), Delhi, since 2015. He earned his Ph.D. in Artificial Neural Networks from GGSIPU and is actively involved in research on AI, neural networks, machine learning, digital and embedded systems, and IoT. His work focuses on developing intelligent AI and Deep Learning models for applications in agriculture and dental science. Dr. Singh has successfully guided eight Ph.D. scholars and has led several high-value projects, including a DST-funded project on AI-based dental tool development, a DBT-funded project on disease prediction in potatoes, and a DST-funded IoT project for agriculture.

Dr. Pradeep Kumar is a Professor and Head of the Department of Computer Science and Information Technology at Maulana Azad National Urdu University (Central University) in Hyderabad, Telangana, India. With over 26 years of teaching and research experience, he obtained his Doctoral degree from the School of Information & Communication Technology at Guru Gobind Singh Indraprastha University (GGSIPU), New Delhi. His research areas include Software Engineering, Data Mining, and Machine Learning. He has published over 50 articles in reputable international journals, international conference proceedings, and book chapters, along with three books and two patents. Dr. Kumar is an active member of several professional organizations, including the Association for Computing Machinery (ACM) in India, the Computer Science Teachers Association (CSTA) USA, the International Association of Engineers (IAENG), the International Association of Computer Science & Information Technology (Singapore), and the Universal Association of Computer and Electronics Engineers. He has organized five national conferences and two AICTE-ATAL faculty development programs. Moreover, he has delivered numerous invited talks, and guest lectures, and chaired sessions as a resource person in various events.

Dr. Ajay Kaul is a Professor in Department of Computer Science and Engineering, Shri Mata Vaishno Devi University, Katra, India. He received the Master's of Technology degree in Computer Engineering from Hyderabad University and the Ph.D. degree from Shri Mata Vaishno Devi University. He has a vast teaching experience of nearly 22 years. His main research interests are in the areas of image processing and Secure Ad hoc networks. He has been awarded Young Scientist award by Department of Science & Technology Govt of JK in 2015 and has published more than 50 Research papers in Various Journals and international conferences. He is an active member of Association for Computing Machines (ACM) India, Computer Science Teachers Association (CSTA) USA, International Association of Engineers (IAENG), International Association Computer. He has Organized many faculty development programs and conferences and delivered Many lectures as resource person. Prof Ajay has done many research projects in collaboration with IIT Roorkee, IIT Kanpur and IIT Jammu, funded by various research agencies like UGC and MHRD Govt of India and has guided 10 Ph.D. research scholars. He has also handled many important administrative positions as Dean Faculty of Engineering, Head Computer Science & Engineering, Network In-charge etc.

Inhalt

Navigating Post-Quantum Blockchain: Resilient Cryptography in Quantum Threats.- Impact of Mobile Node Power Consumption in different Mobility Models on Security.- Cyber Resilience Based Education System.- Enhancing Patient Access and Security: Blockchain-QR Integrated Hospital On Tap System.- Adapting GDPR to the Indian Context Challenges and Implementation Framework.- Leveraging Machine Learning Algorithms for Enhanced Network Intrusion Detection and Categorization (NIDC).- A security model for the enhancement of mobile security.