HAIS for Computer Security (HAISfCS)

Contents of the session

HAISfCS is proposed as a special session/workshop to bring together researchers, engineers, developers and practitioners from academia and industry working in all interdisciplinary areas of Hybrid Artificial Intelligent Systems and computer security to share the experience, and exchange and cross-fertilize ideas.

This special session will provide an interesting opportunity to present and discuss the latest theoretical advances and real-world applications in these two broad fields perspective.

Topics

Topics are encouraged, but not limited to:

Artificial Intelligence

Artificial Neural Networks
Artificial Immune Systems
Biological Computing
Evolutionary Computation
Intelligent Agents and Systems
Machine Learning
Support Vector Machine
Reinforcement Learning
Fuzzy Systems
Swarm Intelligence
Unsupervised Learning
Case-Based Reasoning

Computer Security

Intrusion Detection Systems
Cryptographic Protocols
Detection of Abnormality
Information Security Management
Information Hiding
Network & Wireless Security
Security Models and Architectures
Web and Wireless Security
Cryptography and Coding
Electronic Commerce Security Information, Data and Syst. Integrity
Mobile Code & Agent Security
Security Analysis Methodologies
Watermarking

Applications

Bioinformatics and Medical Diagnosis
Data Mining
Network Security
Pattern Recognition
Copyright Protection
Encryption
Authentication
Authorization
Digital Signatures
Internet Firewalls
Internet Privacy
Cyber Security Standards
Intelligent Information Retrieval
Cryptography and Its Applications
Data Privacy
Communication Channels
Electronic Commerce Security
Image and Signal Processing
Web and Network Application
Other Applications

Contributions

All submissions will be refereed by experts in the field based on originality, significance, quality and clarity. Every submitted paper to this special session will be reviewed by at least two members of the Program Committee.

Papers must be written in English and prepared according to the Springer LNCS-LNAI style template. They should ideally not exceed 8 pages, including figures and bibliography.

NOTICE: All papers must be submitted in electronic form (PDF format) through the HAIS’10 Online Submission System.