Selected Papers from the 8th International Conference on Computational Intelligence and Security (CIS2012)
1School of Computer Science and Technology, Xidian University, Xi'an 710071, China
2Department of Computer Science, Hong Kong Baptist University, Hong Kong
3School of Computer Science and Information Technology, Royal Melbourne Institute of Technology (RMIT University), Melbourne, VIC 3000, Australia
4School of Applied Mathematics, Guangdong University of Technology, Guangzhou, China
Selected Papers from the 8th International Conference on Computational Intelligence and Security (CIS2012)
Description
With the fast development of computer science and technology, more and more web-based applications of computational intelligence are faced with security and trusted problems, and more and more security and trusted problems need computational intelligent techniques to solve them. It has been a necessary and urgent task to cross-fertilize ideas and integrate the techniques of these two important fields: computational intelligence (CI) and information security (IS).
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 and 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. The 8th International Conference on Computational Intelligence and Security (CIS2012) will be held in Guangzhou, China, on November 17-18, 2012 http://www.cis-lab.org/cis2012/. This special issue will select a part of extended and revised full-length high-quality papers from CIS2012. We invite potential authors to contribute original research as well as review articles to our conference. Potential topics include, but are not limited to:
- Neural networks and genetic algorithms and applications
- Particle swarm optimization and applications
- Optimization methods with applications in engineering
- Mathematical modeling and algorithms in machine learning
- Mathematical modeling and algorithms in fuzzy systems
- Mathematical modeling and algorithms in neural networks
- Mathematical methods in data mining
- Mathematical methods in information security
- Artificial intelligence and pattern recognition
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