The Keynote Speakers

Title

The Future of IoT Security:  AI/ML and  Lightweight Cryptography Countering Emerging Threats.

Bio

Hoda A. Al Khzaimi is currently a research assistant professor at New York University Abu Dhabi and the Director of Center of Cyber Security in New York University Abu Dhabi. She served in different posts for research and development in Cyber Security and Cryptology for the past years. She headed the Department of Research and Development for Cyber Security and Cryptology in different national initiatives in the United Arab Emirates along with her associations to different security initiatives nationally and internationally. Alkhzaimi has a specific expertise in Cryptology; cryptanalysis, constructing and validating security hardware and software components, constructing trusted security architectures for different environments in different products for the respective industries. Hoda A. Alkhzaimi obtained her PhD in Cryptanalysis from Denmark Technical University. Her current research interests include Space, Aerospace, and UAV security, constructing and analyzing cryptographic primitives, validating and investigating links between different cryptanalytic approaches, and utilizing cryptographic primitives in different cybersecurity architectures as in Internet and Things of big data analysis among others.

Abstract

The Internet of Things (IoT) has revolutionized the way we interact with technology, but it has also introduced new security challenges. With the increasing number of connected devices, the need for robust security measures has become more pressing than ever. In this talk, we will explore the role of artificial intelligence (AI) and machine learning (ML) in countering emerging threats to IoT security. We will also discuss the need for new lightweight cryptographic designs that can provide strong security while minimizing the computational overhead. The talk will address the current state of IoT security and the challenges it faces. It will also present the role of AI/ML research directions in detecting and mitigating IoT emerging cyber threats. As well as highlight the need for new emerging models and frameworks of secure Al/ML components as in lightweight cryptographic designs that can provide strong security while minimizing the computational overhead, yet maximize security margins.