AICS 2022

Workshop on Artificial Intelligence for Cybersecurity (AICS)

The last ten years have been critical in cybersecurity. Global cybercrime expenses are expected to increase by 15% each year, reaching $10.5 trillion USD annually by 2025, which is a great increase compared to three trillion USD in 2015. Without artificial intelligence techniques and big data infrastructures, it is impossible to detect, evaluate, and defend against threats in real-time. There is a demand for intelligent techniques to detect, analyze and take action against cyber adversary strategies. The AICS workshop aims to provide a venue for academics and researchers to debate and exchange scientific contributions, open challenges, and current breakthroughs in artificial intelligence-based solutions for acting against cyberattacks.

AICS welcomes non-published research papers reporting on mature work, as well as papers describing preliminary research or new ideas. Case studies and industry-based papers are also encouraged.

All topics related to the contribution of artificial intelligence techniques to cybersecurity are welcome. These include, but are not limited to:

  • Artificial Intelligence for:
    • Intrusion detection systems
    • Anomaly detection
    • Malware analysis
    • Computer forensics
    • Privacy and data security
    • the development of smarter security control
    • the actions against cybercrime, e.g., biometrics, audio/image/video analytics
    • vulnerability analysis
    • data recovery after an attack
  • Adversarial machine learning
  • Explainable artificial intelligence in cybersecurity
  • Deep learning for automated recognition of new threats
  • Continuous and one-shot learning
  • Informed machine learning for cybersecurity
  • User and entity behavior modeling and analysis


  • Sanaa Kaddoura

Computing and Applied Technology Department, College of Technological Innovation, Zayed University

  • Fatima Al Harbi

Computing and Applied Technology Department, College of Technological Innovation, Zayed University

  • Auday Al-Dulaimy

Mälardalen University, Västerås, Vastmanland County, Sweden

 Submission system:

Technical Program Committee:

  • Mohamed Nassar, University of New Haven, Connecticut, USA
  • Mustafa Kaddoura, University of Minnesota, Minneapolis, USA
  • Nabil Abdoun, SysDICE, Beirut, Lebanon
  • Abdu Gumaei, Taiz University, Taiz, Yemen
  • Rohit Thanki, IEEE Senior Member, Germany
  • Maher Itani, Sabis® Educational Services, Beirut, Lebanon
  • Fatima AlHarbi, Zayed University, Abu Dhabi, UAE
  • Hamda Al Breiki, Zayed University, Abu Dhabi, UAE
  • Amal El Arid, Lebanese International University, Beirut, Lebanon
  • Liza Ahmad, Zayed University, Abu Dhabi, UAE
  • Nadia Dahmani, Zayed University, Abu Dhabi, UAE
  • Fuhaina Puaad, Zayed University, Abu Dhabi, UAE