1st Edition

Networks Attack Detection on 5G Networks using Data Mining Techniques

Edited By Sagar Dhanraj Pande, Aditya Khamparia Copyright 2024
216 Pages 73 B/W Illustrations
by CRC Press

216 Pages 73 B/W Illustrations
by CRC Press

216 Pages 73 B/W Illustrations
by CRC Press

Artificial intelligence (AI) and its applications have risen to prominence as one of the most active study areas in recent years. In recent years, a rising number of AI applications have been applied in a variety of areas. Agriculture, transportation, medicine, and health are all being transformed by AI technology. The Internet of Things (IoT) market is thriving, having a significant impact on a... Read more

Chapter 1: Enhancing 5G and IoT Network Security: A Multi-Model Deep Learning Approach for Attack Classification
Nishanth Gadey, Sagar Dhanraj Pande, Aditya Khamparia

Chapter 2: Dynamic Deployment and Traffic Scheduling of UPF in 5G Networks
Renato R. Maaliw III, Dr. Haewon Byeon, Dr. Ravi Kumar, Mukesh Soni

Chapter 3: Spatial Federated Learning and Blockchain-based 5G Communication Model for Hiding Confidential Information
Sandeep Kumar Davuluri, Dr. Haewon Byeon, Ismail Keshta, Herison Surbakti

Chapter 4: Mining Intelligence Hierarchical Feature for Malware Detection over 5G Network
Dr.Chaitanya Kulkarni, Dr Zekrifa Djabeur Mohamed Seifeddine, Manvitha Gali, Dr. Sheshang Degadwala

Chapter 5: Enhancing Reliability and Security of Power Monitoring Systems in the Era of 5G Networks
Dr. Jitendra Kumar Chaudhary, Dr. Saurabh Kumar, SIVASANKARI S A, Vibhor Kumar Vishnoi

Chapter 6: Passive Voice in 5G Mobile Edge Computing: Optimizing Energy Efficiency and Resource Utilization
Arijeet chandra Sen, Dr Ihtiram Raza Khan, Ajeet Kumar Srivastava, Dr. Sujeet More

Chapter 7: Exchange Matching Algorithm for Low-Complexity Traffic Scheduling for 5G Fronthaul Networks
V. Mahalakshmi, Dr Rajan John, Betty Elezebeth Samuel, Dr. M. Ramkumar Raja

Chapter 8: Attack Path Discovery in Dynamic Network Environments for Automated Penetration Testing over 5G Networks
Dr. Pramod Kumar, Rajiv Sharma

Chapter 9: Enhancing Electric Vehicle Charging Efficiency in Urban Areas with 5G Network Integration and Network Attack Mitigation
Dr. Chintureena Thingom , Arijeet Chandra Sen, Dr. Amit Jain, Dr. Krishan Dutt

Chapter 10: Next-Generation Intrusion Detection System for 5G Networks with Enhanced Security Using Updated Datasets
Komal Shyamsundar Jakotiya, Vishal Shirsath, Raj Gaurav Mishra

Biography

Dr. Sagar Dhanraj Pande

Assistant Professor, Department of Computer Science and Engineering, School of Engineering and Technology, Pimpri Chinchwad University (PCU), Pune, Maharashtra, India.

Dr. Sagar Dhanraj Pande has expertise in Teaching, Innovation, Research & Development of more than 8 years. He has received his Ph.D. in Computer Science and Engineering from Lovely Professional University, Phagwara, Punjab, India in 2021. He was 2nd University Topper during his Master of Engineering in 2016 at Sant Gadge Baba Amravati University, Amravati, Maharashtra, India. He has been awarded with “BEST PAPER AWARD” in 2023 from International Knowledge Research Foundation in collaboration with Eminent College of Management and Technology (ECMT), West Bengal, India. He has received the “Young Researcher Award” and “Best Ph.D. Thesis Award” in 2022 from Universal Innovators, New Delhi, India. Also, he has received the “Emerging Scientist Award” in 2021 from VDGOOD Professional Association, Pondicherry, India. He has been Session Chair of Multiple International Conferences. His research interest is Deep Learning, Machine Learning, Network Attacks, Cyber Security, and the Internet of Medical Things (IoMT). He has published and presented more than 85 papers in IEEE, Springer, Elsevier, Taylor & Francis, and other reputable journals which are SCI, SCIE, Scopus indexed & peer-review journals. Also, he has published more than 48 Patents on the topics of Computer Vision, Natural Language Processing, Generative AI, IoT, and its applications. He is currently supervising 4 Ph. D Scholar in the domain of AIML. He has also supervised several postgraduate students in cybersecurity, computer networks, and AI. He is responsible for teaching Artificial Intelligence, Deep Learning, Machine Learning, Cyber Crime and Security, and Python Programming courses to undergraduate and post- graduate students. He is also sharing his knowledge through his YouTube channel named sdpguruj https://www.youtube.com/c/SDPGuruji/playlists.

Dr. Aditya Khamparia

Assistant Professor, Coordinator of Department of Computer Science, Babasaheb Bhimrao Ambedkar University, Satellite Centre, Amethi, India.

Dr. Aditya Khamparia has expertise in Teaching, Entrepreneurship, and Research & Development of 8 years. He is currently working as Assistant Professor and Coordinator of Department of Computer Science, Babasaheb Bhimrao Ambedkar University, Satellite Centre, Amethi, India. He received his Ph.D. degree from Lovely Professional University, Punjab in May 2018. He has completed his M. Tech. from VIT University and B. Tech. from RGPV, Bhopal. He has completed his PDF from UNIFOR, Brazil. He has around 95 research papers along with book chapters including more than 15 papers in SCI indexed Journals with cumulative impact factor of above 50 to his credit. Additionally, He has authored, edited and editing 5 books. Furthermore, he has served the research field as a Keynote Speaker/Session Chair/Reviewer/TPC member/ Guest Editor and many more positions in various conferences and journals. His research interest includes machine learning, deep learning, educational technologies, computer vision.