The widespread network connectivity and the rapid proliferation of Internet applications—such as broadband mobile networks, Cloud/Edge computing, and the Internet of Things that underpin numerous smart-world systems—have increasingly intertwined our society with connected networks and applications. However, ensuring security, privacy, and trust within these systems has emerged as one of the most pressing challenges we face today. Despite the availability of numerous solutions, there is a growing need for new methods and algorithms to enhance security and trust, safeguard user and system privacy, and foster stronger practices through compelling incentives. The Security, Privacy, and Trust track invites submissions of original research papers from both academia and industry practitioners that present novel contributions in algorithms, system designs, implementations, and evaluations. We welcome papers in these and related areas.
Topics:• Anonymous Communication and Applications
• Artificial Intelligence Agent for Network Security and Privacy
• Blockchain and Decentralized Trust Management
• Cloud/Edge Security and Privacy
• Computer/Network Forensics
• Computer/Network Security and Privacy
• Confidential Computing and Next Frontiers in Security
• Cyber Threat Intelligence
• Data Security and Multiparty Access Control
• Intelligent Forensics Tools, Techniques, and Procedures
• Large Language Models for Network Security
• Machine Learning and Artificial Intelligence for Security, Privacy, and Trust
• Optimization of Utility-Privacy Tradeoffs
• Penetration Testing
• Private Information Retrieval
• Privacy-Preserving Data Aggregation
• Privacy-Preserving Trust Management
• Quantum and Post-Quantum Network Security
• Security-Driven Configuration Management
• Security, Privacy, and Trust for Big Data
• Security, Privacy, and Trust for Cyber-Physical Systems
• Security, Privacy, and Trust for Machine Learning and Artificial Intelligence
• Security, Privacy, and Trust for Networked Control Systems
• Security, Privacy, and Trust for Resource-Constrained Devices
• Security, Privacy, and Trust for Software Defined Networking
• Security, Privacy, and Trust for Wireless Networks
• Smart Cards and Secure Hardware
• Trust and Reputation Models
• Usable Security and Privacy
• Vulnerability, Exploitation Tools, and Virus/Worm Analysis
Track Chairs:
- Chung-Wei Lin, National Taiwan University, Taiwan, cwlin@csie.ntu.edu.tw
- Long Cheng, Clemson University, USA, lcheng2@clemson.edu
1. MD Armanuzzaman, University of Texas at El Paso, marmanuzzaman@utep.edu
2. Song Fang, University of Oklahoma, songf@ou.edu
3. Hongxin Hu, University at Buffalo, SUNY, hongxinh@buffalo.edu
4. Ming Li, University of Texas at Arlington, ming.li@uta.edu
5. Shaofeng Li, Southeast University, shaofengli2013@gmail.com
6. Tao Li, Purdue University, litao@purdue.edu
7. Song Liao, Texas Tech University, Song.Liao@ttu.edu
8. Hongbo Liu, University of Electronic Science and Technology of China, hongbo.liu@uestc.edu.cn
9. Guannan Liu, Colorado School of Mines, Guannan.liu@mines.edu
10. Zhuo Lu, University of South Florida, zhuolu@usf.edu
11. Weiping Pei, The University of Tulsa, weiping-pei@utulsa.edu
12. Boyang Wang, University of Cincinnati, boyang.wang@uc.edu
13. Yan Wang, Temple University, y.wang@temple.edu
14. Anhao Xiang, Kennesaw State University, axiang@kennesaw.edu
15. Yucheng Xie, Yeshiva University, yucheng.xie@yu.edu
16. Xiaochan Xue, University of Hawaii at Manoa, xxue@hawaii.edu
17. Chenhao Ying, Shanghai Jiao Tong University, yingchenhao@sjtu.edu.cn
18. Jiadi Yu, Shanghai Jiao Tong University, jiadiyu@sjtu.edu.cn
19. Yifan Zhang, Aalto University, yifan.1.zhang@aalto.fi