Networks Attack Detection on 5g Networks Using Data Mining Techniques

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 wide variety of industries and applications, including e-health care, smart cities, smart transportation, and industrial engineering. Recent breakthroughs in artificial intelligence and machine learning techniques have reshaped various aspects of artificial vision, considerably improving the state of the art for artificial vision systems across a broad range of high-level tasks. As a result, several innovations and studies are being conducted to improve the performance and productivity of IoT devices across multiple industries using machine learning and artificial intelligence. Security is a primary consideration when analyzing the next generation communication network due to the rapid advancement of technology. Additionally, data analytics, deep intelligence, deep learning, cloud computing, and intelligent solutions are being employed in medical, agricultural, industrial, and health care systems that are based on the Internet of Things. This book will look at cutting-edge Network Attacks and Security solutions that employ intelligent data processing and Machine Learning (ML) methods.

This book:

• Covers emerging technologies of network attacks and management aspects.
• Presents artificial intelligence techniques for networks and resource optimization, and toward network automation, and security.
• Showcases recent industrial and technological aspects of next-generation networks
• Illustrates artificial intelligence techniques to mitigate cyber-attacks, authentication, and authorization challenges.
• Explains smart, and real-time monitoring services, multimedia, cloud computing, and information processing methodologies in 5G networks.
• It is primarily for senior undergraduates, graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

Dr. Sagar Dhanraj Pande is an Assistant Professor Senior Grade at VIT-AP University, Amaravati, Andhra Pradesh, India. He received his Ph.D. in Computer Science and Engineering from a Lovely Professional University, Phagwara, Punjab, India in 2021. He received the ＂Young Researcher Award＂ and ＂Best Ph.D. Thesis Award＂ in 2022 from Universal Innovators. Also, he received the ＂Emerging Scientist Award＂ in 2021 from VDGOOD Professional Association. 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 75 papers in Springer, Elsevier, CRC, Taylor & Francis, and other reputable journals which are Scopus indexed & peer-review journals. He has published more than 20 Patents. Also, he has published papers at international conferences springer on the topics of Data Mining, Network Security, IoT, and its application. He has supervised several postgraduate students in cybersecurity, computer networks, communication, and IoT. He is responsible for teaching Artificial Intelligence, Deep Learning, Machine Learning, Cyber Crime and Security, and Python Programming courses to undergraduate and postgraduate students. He is also sharing his knowledge through his YouTube channel named sdpguruji https: //www.youtube.com/c/SDPGuruji/playlists.

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.