IEEE North Jersey Section

Special Presentation by Dr. Mérouane Debbah (Khalifa U., UAE) Hosted by the Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group Date/Time: Thursday, January 16th, 2025 @ 12:00 UTC Topic: Generative Diffusion Models for Network Optimization Abstract: Network optimization is a fundamental challenge in Internet-of-Things (IoT) networks, often characterized by complex features that make it difficult to solve these problems. Recently, generative diffusion models (GDMs) have emerged as a promising new approach to network optimization, with the potential to directly address these optimization problems. However, the application of GDMs in this field is still in its early stages, and there is a noticeable lack of theoretical research and empirical findings. In this study, we first explore the intrinsic characteristics of generative models. Next, we provide a concise theoretical proof and intuitive demonstration of the advantages of generative models over discriminative models in network optimization. Based on this exploration, we implement GDMs as optimizers aimed at learning high-quality solution distributions for given inputs, sampling from these distributions during inference to approximate or achieve optimal solutions. Specifically, we utilize denoising diffusion probabilistic models (DDPMs) and employ a classifier-free guidance mechanism to manage conditional guidance based on input parameters. We conduct extensive experiments across three challenging network optimization problems. By investigating various model configurations and the principles of GDMs as optimizers, we demonstrate the ability to overcome prediction errors and validate the convergence of generated solutions to optimal solutions. Speaker: Dr. Mérouane Debbah is a Professor at the Khalifa University of Science and Technology in Abu Dhabi and founding Director of the KU 6G Research Center. He is a frequent keynote speaker at international events in the field of telecommunication and AI. His research has been lying at the interface of fundamental mathematics, algorithms, statistics, information and communication sciences with a special focus on random matrix theory and learning algorithms. In the Communication field, he has been at the heart of the development of small cells (4G), Massive MIMO (5G) and Large Intelligent Surfaces (6G) technologies. In the AI field, he is known for his work on Large Language Models, distributed AI systems for networks and semantic communications. He received multiple prestigious distinctions, prizes and best paper awards (more than 40 IEEE best paper awards) for his contributions to both fields and according to research.com he is ranked as the best scientist in France in the field of Electronics and Electrical Engineering. He is an IEEE Fellow, a WWRF Fellow, a Eurasip Fellow, an AAIA Fellow, an Institut Louis Bachelier Fellow, an AIIA Fellow, and a Membre émérite SEE. He is chair of the IEEE Large Generative AI Models in Telecom (GenAINet) Emerging Technology Initiative and a member of the Marconi Prize Selection Advisory Committee. Co-sponsored by: Artificial Intelligence & Machine Learning (AIML) Working Group Virtual: https://events.vtools.ieee.org/m/453702

Presented by Taha Sajid: https://www.linkedin.com/in/taha-sajid/ Talk Abstract: Fortifying the 5G Core: Exploitation Tactics, Detection, and Prevention" delves into the vulnerabilities of the 5G control plane, focusing on exploitation methods and actionable defenses. This presentation showcases live demonstrations of attacks on critical network functions, including protocol fuzzing, rogue NF registration, and signaling exploits, revealing the evolving threat landscape. To counter these risks, advanced detection techniques such as anomaly analysis, AI-driven threat monitoring, and real-time protocol validation are introduced. Prevention strategies are aligned with Zero Trust principles, robust IAM, and enhanced 5G protocol security. Designed for academics and practitioners, this session bridges cutting-edge research with practical solutions, empowering the audience to strengthen 5G core networks against emerging threats Short Bio: Taha Sajid, recognized as one of the Most Influential 5G Thought Leaders from 2022 to 2024, is a trailblazer in 5G security and cybersecurity innovation. As the founder of Xecurity Pulse, he empowers enterprises and professionals to tackle evolving cyber threats in 5G, ORAN, and beyond. Taha has architected advanced 5G security frameworks, championed Zero Trust adoption in telecom, and authored the acclaimed Ultimate Blockchain Security Handbook. He is also an editorial board member of Elsevier’s Computers & Security Journal. With accolades, including the Einstein Visa, for extraordinary ability and recognition in Marquis Who's Who, Taha is a sought-after speaker at global forums like 3GPP, GSMA, ATIS, CSA, IEEE, ISACA, and NIST. His initiatives, such as the 5G Security Bootcamp, have trained countless professionals in cutting-edge cybersecurity strategies. Taha’s expertise and vision continue to shape the secure future of telecom and emerging technologies. Meeting link: (https://www.google.com/url?q=https://ieeemeetings.webex.com/meet/Security&sa=D&source=calendar&usd=2&usg=AOvVaw1jzQnGgKokIrUf3idG3zX6) Meeting Number: 593016 532 Virtual: https://events.vtools.ieee.org/m/460718