By Cecilia Di Chio, Anthony Brabazon, Marc Ebner, Muddassar Farooq, Andreas Fink, Jorn Grahl, Gary Greenfield, Penousal Machado, Michael O'Neill, Ernesto Tarantino, Neil Urquhart
This ebook constitutes the refereed complaints of the foreign Workshops at the functions of Evolutionary Computation, EvoApplications 2010, held in Istanbul, Turkey, in April 2010 colocated with the Evo* 2010 occasions. due to the massive variety of submissions got, the complaints for EvoApplications 2010 are divided throughout volumes (LNCS 6024 and 6025). the current quantity comprises contributions for EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoMUSART, and EvoTRANSLOG. The forty seven revised complete papers awarded have been rigorously reviewed and chosen from a complete of 86 submissions. This quantity offers a cautious number of appropriate EC examples mixed with a radical exam of the ideas utilized in EC. The papers within the quantity illustrate the present cutting-edge within the program of EC and may support and encourage researchers and execs to enhance effective EC tools for layout and challenge fixing.
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Extra resources for Applications of Evolutionary Computation: EvoApplications 2010: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoMUSART, and EvoTRANSLOG, Istanbul, Turkey, April ... Computer Science and General Issues)
1 Intrusion Detection Systems (IDS) The main objective of IDS is detecting wrong, unauthorized and malicious usage of computer systems by inside and outside intruders. The key is to maximize accurate alerts (true-positive) while at the same time minimizing the occurrence of nonjustified alerts (false-positive). The metrics used in the evaluation of IDS are: • True positive (TP) which is a real attack correctly categorized as an attack, • False positive (FP) which is a false alert erroneously raised for normal data, • True negative (TN) which is normal data that correctly does not generate an alert, • False negative (FN) which is a missed attack erroneously categorized as normal.
An artificial immune systeminspired multiobjective evolutionary algorithm with application to the detection of distributed computer network intrusions. In: GECCO 2007: Genetic and evolutionary computation Conference, London, UK (2007) 5. : IADIDS-Design of A Distributed Intrusion Detection System Based on Independent Agents. In: Proceedings of International Conference on Intelligent Sensing and Information Processing, pp. 254–257 (2004) 6. : Defending a Computer System using Autonomous Agents.
Since these algorithms perform quite diﬀerent operations, we have set the parameters after preliminary executions where the computational eﬀort in terms of time and number of evaluations was balanced. Table 3 summarizes the parameter setting speciﬁc to each algorithm. Table 3. 8 Simulation Results and Comparisons Table 4 contains the results obtained after the experimentation. The second column contains both, the mean and the standard deviation (std) of the resulted best ﬁtness values (out of 30 independent runs) for each one of the ﬁve optimization algorithms.
Applications of Evolutionary Computation: EvoApplications 2010: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoMUSART, and EvoTRANSLOG, Istanbul, Turkey, April ... Computer Science and General Issues) by Cecilia Di Chio, Anthony Brabazon, Marc Ebner, Muddassar Farooq, Andreas Fink, Jorn Grahl, Gary Greenfield, Penousal Machado, Michael O'Neill, Ernesto Tarantino, Neil Urquhart