Special Session 5

Special Session 5: AI-Enhanced wireless Communication Security

This session explores how artificial intelligence (AI) transforms communication security-addressing limitations of traditional tools (e.g., static encryption, rule-based firewalls) while tackling emerging threats. It covers core AI applications: machine learning (ML) for real-time anomaly detection in 5G/6G networks, deep learning (DL) for securing voice/video calls, and generative AI for optimized encryption. Attendees will gain insights from real-world case studies, learn to mitigate AI-specific risks (adversarial attacks, privacy compliance), and explore AI’s role in future systems (quantum communication, IoT device-to-device security). Tailored for IT security professionals, network engineers, and AI researchers, it delivers actionable strategies to strengthen communication security via AI.

This session’s novelty lies in its cross-domain depth and actionable specificity-gaps regular communication security or AI programs rarely address; unlike conventional tracks that treat AI as a generic tool or communication security as standalone (e.g., only static encryption), it fuses AI capabilities with security pain points, uniquely emphasizing AI-specific challenges (adversarial attacks on ML threat detection, privacy takeoffs in AI monitoring) sidelined in standard sessions (which focus on “traditional vs. AI” over safe ope-rationalization) and integrating forward-looking use cases (AI for quantum communication resilience, IoT device-to-device security automation) not mainstream in regular agendas. Its motivation stems from three unmet needs in standard programs: as 5G/6G and cloud communication scale, traditional tools (rule-based firewalls, static E2EE) fail against dynamic threats (real-time DDoS variants, AI-generated phishing), yet regular sessions lack a practical bridge between AI research and on-the-ground security workflows; IT security teams, network engineers, and AI researchers attend soiled tracks, but this session unifies them to solve bottlenecks and address real-world constraints (e.g., GDPR) missed by standard programs; quantum communication and IoT security are emerging, but regular agendas focus on current tools, while this session equips attendees to build saleable AI-augmented systems-making it a critical standalone resource, not a supplement.

Related topics: （此专题涉及的征稿主题）

1. AI-driven threat intelligence sharing for cross-network communication security
2. Securing 5G/6G communication networks with federated learning (FL)
3. AI-powered privacy-preserving technologies (e.g., homophobic encryption) for secure data transmission
4. Adversarial machine learning defense mechanisms in communication systems
5. AI automation for incident response in communication security breaches
6. Ethical considerations of AI in monitoring and securing organizational communications

Submit Method:
1, Submit it via the link: http://confsys.iconf.org/submission/icece2025 (after entering the link, click on the corresponding topic)
2, Send your manuscript to icece_conf@vip.163.com with subject "Submit+Special Session-5+Paper Title". (请通过邮件发送稿件，邮件题目：Submit+Special Session-5+Paper Title)
3, Submission deadline: November 20, 2025



Zhen chen (Professor), Jinan University, Guangzhou, China



Jingmiao Wu (Associate Professor), Inner Mongolia University, Hohhot, China



Kezhi Wang (Professor), Brunel University London, London, UK



Haichao Wei (Associate Professor), Dalian Maritime University, Dalian, China