Emerging Information Security and Applications.
With recent evolution of adversarial techniques, intrusions have become more complex that may threaten the security of various assets regarding information and applications. In addition, coordinated intrusions like worm outbreak can continue to be a major threat to information, system and network security in the near future. The popularity of Internet may generate a large volume of different types of sensitive information. Therefore, there is a need for emerging techniques, theories and applications to protect information and practical security.
The workshop on Emerging Information Security and Applications (EISA) aims to provide a platform for researchers and practitioners across the world to exchange their ideas. It seeks original submissions that discuss practical or theoretical solutions to enhance the information and application security in practice.
Scope and Topics:
Topics of interest include, but are not limited to the ones listed below:
- Cyber intelligence techniques
- Multimedia security
- Malware and unwanted software
- Vulnerability analysis and reverse engineering
- Usable security and privacy
- Intrusion detection and prevention
- Authentication and access control
- Anonymity and privacy
- Cryptographic protection
- Digital forensics
- Cyber physical systems security
- Adversarial learning
- Security measurement
- Security management and policies
- Hardware and physical security
Program Chairs:
Shouling Ji, Zhejiang University, China
Yu Jiang, Tsinghua University, China
Yongjun Ren, Nanjing University of Information Science & Technology, China
Weizhi Meng, Technical University of Denmark, Denmark
Chunhua Su, University of Aizu, Japan
Paper Submission:
Submission page:
https://easychair.org/conferences/?conf=eisa2021
Submitted papers should be original, unpublished work and not currently under review for any other conference or journal. Papers not following these guidelines will be rejected. all manuscripts should be formatted using the Springer-LNCS template, which can be found at https://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0.
