The research scenario in advanced systems for protecting critical
infrastructures and for deeply networked information tools highlights a
growing link between security issues and the need for intelligent
processing abilities in the area of information s- tems. To face the
ever-evolving nature of cyber-threats, monitoring systems must have
adaptive capabilities for continuous adjustment and timely, effective
response to modifications in the environment. Moreover, the risks of
improper access pose the need for advanced identification methods,
including protocols to enforce comput- security policies and
biometry-related technologies for physical authentication. C- putational
Intelligence methods offer a wide variety of approaches that can be
fruitful in those areas, and can play a crucial role in the adaptive
process by their ability to learn empirically and adapt a system's
behaviour accordingly. The International Workshop on Computational
Intelligence for Security in Inf- mation Systems (CISIS) proposes a
meeting ground to the various communities - volved in building
intelligent systems for security, namely: information security, data
mining, adaptive learning methods and soft computing among others. The
main goal is to allow experts and researchers to assess the benefits of
learning methods in the data-mining area for information-security
applications. The Workshop offers the opportunity to interact with the
leading industries actively involved in the critical area of security,
and have a picture of the current solutions adopted in practical
domains. This volume of Advances in Soft Computing contains accepted
papers presented at CISIS'08, which was held in Genova, Italy, on
October 23rd-24th, 2008.