2009 International Conference on Computational Intelligence and Security

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Last Update

26.03.2009

2009 International Conference on

Computational Intelligence and Security

Beijing, China December 11-14,2009

International Conference on Computational Intelligence and Security (CIS) is a major annual international conference to bring together researchers, engineers, developers and practitioners from academia and industry working in all areas of two crucial fields in information processing: computational intelligence (CI) and information security (IS), to share the experience, exchange and cross-fertilize ideas. In particular, the series of CIS conference provides an ideal platform to explore the potential applications of CI models, algorithms and technologies to IS.
Following the great success of CIS'2005-2008, the fifth conference CIS'2008 serves as a forum for the dissemination of state-of-the-art research, development, and implementations of systems, technologies and applications in these two broad fields. CIS'2009 is co-organized by Beijing Institute of Technology and Guangdong University of Technology. Also, it is co-sponsored by Xidian University. CIS'2009 will be held in Beijing during December 11-14, 2009.

The topics include but are not limited to:

•Computational Intelligence •Information Security • Applications

•Artificial Immune Systems	•Access Control	•Anti-Virus
•Autonomy-Oriented Computing	•Block/Stream Ciphers	•Communication Security
•Biological Computing	•Cryptographic Protocols	•Content Security
•Data Mining	•Cryptanalysis	•Cryptography and Applications
•DNA Computing	•Information and System Integrity	•Database Security
•Evolutionary Programming	•Information Hiding	•Digital Signatures
•Image Understanding	•Intrusion Detection	•Electronic Commerce Security
•Knowledge Discovery	•Malicious Codes	•Financial Security
•Machine Learning	•Mobile Code & Agent Security	•Mobile Device Security
•Multi-Agent Systems	•Public Key Cryptosystems	•Software Encryption
•Neural Networks	•Secret Sharing	•Web Authentication
•Particle Swarm Optimization	•Security Management	•Web Security and Integrity
•Probabilistic Reasoning	•Steganography ,Watermarking	•Biometrics
•Reinforcement Learning	•Authentication and Authorization	•Computer Security
•Statistical Data Analysis	•Computer Forensics	•Copyright Protection
•Supervised Learning	•Cryptography and Coding	•Data Privacy
•Swarm Intelligence	•Hash Functions	•Detection of Abnormality
•Probabilistic Learning	•Information Security Management	•Distributed Systems Security
•Artificial Neural Systems	•Internet/Intranet Security	•Elliptic Curve Cryptosystems
•Bayesian Learning	•Key/Identity Management	•Information Discovery
•Data Fusion and Mining	•Mobile Communications Security	•Multimedia Security
•Distributed Systems	•Network & Wireless Security	•System Security
•Evolutionary Algorithms	•Public Key Infrastructure	•Web Privacy and Trust
•Fuzzy Systems	•Security Analysis Methodologies
•Intelligent Systems	•Security Models and Architectures
•Learning Algorithms	•Smart/Java Cards
•Molecular Computers	•Zero Knowledge
•Multi-Objective Evolutionary Algorithms
•Neural-Fuzzy Systems
•Pattern Recognition
•Quantum Computing
•Self-Organizing Maps
•Statistical Learning
•Support Vector Machines
•Self-Organizing Maps
•Unsupervised Learning

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Contact: cis@gdut.edu.cn