Guest Editors
Dr. Weizheng Wang
Email: weizheng.wang@ieee.org
Affiliation: Department of Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong SAR
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Research Interests: information security and privacy, password-based authentication, large language model security
Prof. Zhaoyang Han
Email: zyhan@njfu.edu.cn
Affiliation: The College of Computer Science and Technology, Nanjing Forestry University, Nanjing, 210037, China
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Research Interests: information security and privacy, password-based authentication, large language model security
Prof. Chunhua Su
Email: chsu@u-aizu.ac.jp
Affiliation: School of Computer Science and Engineering, University of Aizu, Aizu-Wakamatsu, Fukushima, 965-8580, Japan
Homepage:
Research Interests: big data privacy protection, IoT security and privacy, cryptanalysis, cryptographic protocols, privacy-preserving technologies in data mining, RFID authentication, wireless mesh networks security
Summary
The rapid deployment of Large Language Models (LLMs) in authentication systems has introduced unprecedented security challenges while simultaneously offering innovative solutions for password-based security. As organizations increasingly integrate LLMs into identity verification processes, critical vulnerabilities including prompt injection attacks, model poisoning, and privacy leakage threaten the fundamental security assumptions of authentication systems, making robust security frameworks for LLM-enabled password authentication an urgent research priority.
This special issue aims to explore cutting-edge research addressing the intersection of Large Language Models and password authentication security. We seek comprehensive investigations into both offensive and defensive aspects of LLM-based authentication systems, covering theoretical foundations, practical implementations, and empirical evaluations. The issue welcomes contributions from computer science, cybersecurity, cryptography, and human-computer interaction communities, emphasizing research that advances the security posture of LLM-enabled authentication systems. Topics range from novel security architectures to case studies of real-world deployments, with particular emphasis on solutions that balance usability with robust security guarantees.
To address these multifaceted challenges, this special issue focuses on the following key research areas, including but not limited to:
· LLM-Enhanced Password Security Mechanisms
· Prompt Injection Attacks on Authentication Systems
· Privacy-Preserving LLM Authentication Frameworks
· Adversarial Machine Learning in Password Verification
· Multi-Factor Authentication with LLM Integration
· Federated Learning for Secure Password Analysis
· Bias and Fairness in LLM-Based Authentication
Keywords
Large Language Models, Password Authentication, AI Security, Authentication Systems
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