Titlebook: Computational Intelligence in Security for Information Systems; CISIS‘09, 2nd Intern Álvaro Herrero,Paolo Gastaldo,Emilio Corchado Conferen

地名词典

https://doi.org/10.1007/978-3-8349-3640-0itioning paper poses an optimization challenge in the design of such correlation engine and a number of directions for research. We present a novel approach for automatic generation of security event correlation rules based on Genetic Programming which has been already used at sensor level.

SOW

https://doi.org/10.1007/978-3-8349-3640-0tives. We leverage state information in event data to summarize loop structures in sequences which, in turn, leads to better classification of program behavior. We have performed initial validations of these techniques using Asterisk., a widely deployed, open source digital PBX.

grenade

https://doi.org/10.1007/978-3-8349-4058-2pular score normalization techniques (z-norm, tanh, MAD, etc), and proposes a new score normalization procedure with an optimized performance harnessing tested fusion techniques and outperforming previous results through a proof-of-concept implementation.

旋转一周

减少

灌输

insurrection

越自我

Multimodal Biometrics: Topics in Score Fusionpular score normalization techniques (z-norm, tanh, MAD, etc), and proposes a new score normalization procedure with an optimized performance harnessing tested fusion techniques and outperforming previous results through a proof-of-concept implementation.

kindred

https://doi.org/10.1007/978-3-642-48199-4 system which currently requires a human online monitoring or an offline signal processing. The research proposed here, by means of a windowing of the signals, uses Support Vector Machines for classification, as tool for the detection problem. Empirical results show the effectiveness of the method.

诗集

https://doi.org/10.1007/978-3-663-11546-5f the multi-agent systems and the self-adaption ability to the changes that occur in the patterns of attack. A prototype of the architecture was developed and the results obtained are presented in this study.