The 10th International Conference on Fuzzy Systems and Data Mining (FSDM 2024)

Abstract: The talk addresses the changing world of security systems, and the possible approaches to their improvement through the usage of Artificial Intelligence and Machine Learning-based techniques. Although many security aspects are addressed, the talk will be focused on addressing networking security issues. The concept of "Networking Cognitive Security" is mainly explored from three different perspectives and implementation levels, namely:
a) Network-level, by considering only data flowing in a network in order to perform Traffic Classification and Anomaly Detection;
b) Application-level, by modeling the behavior of apps in order to detect suspect behaviors.
c) Social-level, by modeling the behavior of entities involved in social communities in order to detect unfair users of social networks.
For each of these levels, theoretical aspects and implementation details will be shown. In particular, solutions based on Deep Neural Network architectures and ad-hoc intelligent algorithms will be shown.
Particular attention is given to the inner behavior of Deep Neural Networks. In this regard, a formal mathematical exploration of inner processes behind neural network architectures are shown in order to provide a useful understanding of how each neural component affects network performance. This allows improving the skill of a neural network designer to provide improvements in reliability and performance of security systems. These aspects are presented with reference to many security systems developed in our research group making use of Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, and their combinations as well as specific algorithms also based on evolutionary approaches to solve constrained optimization problems, and more.

Biography: Gianni D'Angelo is a Tenured Adjunct Professor (RTD.B) at the University of Salerno, Italy. From April, 14 2021 he qualified as Second Level University Professor for the Sector 01/B1 - Computer Science, and from April 29, 2021 as Second Level University Professor for the Sector 09/H1 - Systems of Information Processing. He lectures “Computer Networks" and “Computer Architecture" at the Department of Computer Science of the University of Salerno. He has taught “Fundamentals of Computer Science and Programming" at the Department of Industrial Engineering of the same University. From 2012 to 2019, he has been a Contract Professor of “Elements of Computer Science'' at the Department of Law, Economics, Management and Quantitative Methods of the University of Sannio, Benevento, Italy. He received the M.S. degree (cum laude) in Computer Engineering, and the Ph.D. degree in Computer Science, applied electromagnetism and telecommunications from the University of Salerno, Salerno, Italy, in 1998 and 2003, respectively. His research interests concern with the development and implementation of algorithms based on Artificial Intelligence, Deep Learning, and Machine Learning for Knowledge Discovery in BIG DATA context and implemented for High-Performance machines - HPC, and Parallel Computing. He gained experience in the world of the pattern recognition, neural networks, fuzzy logic, ANFIS systems, genetic and evolutionary algorithms, and parallel programming applied in various scientific and industrial fields. He authored many articles published in international journals, books and conferences, and currently serves as a reviewer, editorial board and guest editor for several international journals.