The Journey Toward Self-Adaptive Security
Where Are We ?

Zonghua Zhang

CRSC R&D Institute, PRC, China

21st November 2024, Thursday (09:30-10:30), Room 1

Session Chair : Soufiene Djahel, Coventry University, UK

ABSTRACT

Although self-adaptive security is recognized within the cybersecurity community, it remains largely conceptual, lacking sound theoretical foundations, practical implementations, and widely accepted evaluation metrics. This talk aims to offer a comprehensive overview, covering algorithms, techniques, models, and architectures. By examining case studies, we will highlight key challenges and gaps. The goal is to encourage deeper research collaboration between academia and industry to effectively address potential threats in the emerging AI era.

BIOGRAPHY

Prof. Zonghua Zhang is working on secure and dependable digitalization of intelligent railway transportation. He was previously with Huawei Paris Research Center, where he led a team dedicated to building resilient and trustworthy autonomous driving networks (ADN) by developing robust, adaptive and generalized AI- enabled solutions. Before diving into the industry, Zonghua has spent nearly 16 years in academia at different institutions (Professor at IMT, Researcher at NICT, INRIA, JAIST, University of Waterloo). He holds an HDR diploma (UPMC, France) in computer science, and a Ph.D. Degree (JAIST, Japan) in information science. He has been actively working at the intersections of cyber security, networking, and applied machine learning. Zonghua has contributed, as either PI or key contributor, to more than a dozen national and international research projects, with the topics ranging from anomaly detection, root cause analysis, and network forensics, to trust management, and eventually to autonomic cyber defense. These research projects have led to the publication of 100+ research articles in well-recognized international journals and conferences.