Track 8: AI and Cybersecurity | 人工智能与网络安全

Organizers

Huaqun Guo

Chair

Associate Professor
Singapore Institute of Technology, Singapore

Nour EL MADHOUN

Chair

Associate Professor
Isep, France

Eyasu Getahun Chekole

Chair

Research Fellow
Singapore University of Technology and Design, Singapore



Committee Members

  • Anand Bhojan, National University of Singapore (Singapore), Associate Professor
  • Yulia Cherdantseva, Cardiff University (United Kingdom), Reader & Director
  • Noori Kim, Purdue University (United States)
  • Jiqiang Lu, Beihang University (China), Professor
  • Maode Ma, Shenzhen University of Advanced Technology (China), Professor
  • Zhiyuan Zhang, Singapore Management University (Singapore), Assistant Professor
  • Yongqing Zhu, Singapore University of Social Sciences (Singapore), Associate Professor

Abstract

The integration of Artificial Intelligence (AI) in cybersecurity is transforming the landscape of digital defense, enabling organizations to identify, mitigate, and respond to security threats with unprecedented speed and accuracy. As cyberattacks grow in sophistication and frequency, traditional security methods struggle to keep up with evolving threats.

This track explores the intersection of AI and cybersecurity, highlighting opportunities and challenges posed by AI technologies in safeguarding sensitive information and digital infrastructures. Topics include AI-enhanced intrusion detection, anomaly detection, automated incident response, ethical considerations, and adversarial uses of AI.

Researchers, practitioners, and students are encouraged to submit contributions addressing both technical advances and societal impacts of AI in cybersecurity.

Topics

  • AI-Driven Intrusion Detection Systems (IDS)
  • Anomaly Detection using Machine Learning / AI
  • Automated Incident Response and Mitigation
  • Predictive Cyber Threat Intelligence
  • Adversarial Machine Learning in Cybersecurity
  • AI and Malware Detection
  • AI-Enhanced Vulnerability Assessment and Risk Management
  • Ethical Implications of AI in Cybersecurity
  • AI for Fraud Detection and Prevention
  • AI and Blockchain Security
  • AI for Secure Authentication and Access Control
  • Generative AI Security
  • Explainability and Trustworthiness of AI in Cybersecurity
  • AI for Security in IoT and Smart Devices
  • Cybersecurity Automation with AI and Robotics
  • AI-Powered Security in Critical Infrastructure