Advanced Computer Science Applications
Recent Trends in AI, Machine Learning, and Network Security
Advanced Computer Science Applications
Recent Trends in AI, Machine Learning, and Network Security
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Description
Discusses design algorithms that allow computers to employ machine learning to display behavior learned from past experiences for solutions to security issues in data management. Algorithms discussed include convolutional neural network, random forest algorithm, k-nearest neighbor algorithm, Apriori algorithm, MapReduce algorithm, etc.
Karan Singh, PhD, is Assistant Professor in the School of Computer and Systems Sciences at Jawaharlal Nehru University, New Delhi, India. His areas of interest include multicast communications, information security, cryptography, security issues in wireless sensor networks, intelligent vehicular networks, Internet of Things, and cyber-physical systems. He has published many journal articles and conference papers. He has also attended many international conferences and workshops and has delivered invited talks and lectures.
Latha Banda, PhD, is Associate Professor of Computer Sciences and Engineering at ABES Engineering College, Ghaziabad, India. She was previously an Associate Professor at Sharda University and Lingaya’s University, India. Her areas of interest include artificial intelligence, recommender systems, machine learning, network security, and soft computing. She has published several journal articles and conference papers and has attended and participated at international conferences and workshops.
Manisha Manjul, PhD, is working with the Department of Computer Engineering at G. B. Pant DESU Okhla-I Campus, New Delhi, India. She has published several papers in Scopus-indexed journals as well as several conference papers. She organizes workshops, conferences, and faculty development programs. Her primary research interests are in computer network, network security, multicast communication, and object-oriented programming.