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Download Bio-Inspired Models of Network, Information, and Computing by Gianni A. Di Caro, Guy Theraulaz (eds.) PDF

By Gianni A. Di Caro, Guy Theraulaz (eds.)

This ebook constitutes the completely refereed post-conference lawsuits of the seventh foreign convention on Bio-Inspired versions of community, info and Computing structures (Bionetics 2012), held in Lugano, Switzerland, in December 2012. The 23 revised complete papers awarded have been rigorously reviewed and chosen from forty submissions. They hide themes resembling networking, robotics and neural networks, molecular scale and bioinformatics, optimization and bio-inspired modeling in numerous fields.

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Read or Download Bio-Inspired Models of Network, Information, and Computing Systems: 7th International ICST Conference, BIONETICS 2012, Lugano, Switzerland, December 10--11, 2012, Revised Selected Papers PDF

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Extra info for Bio-Inspired Models of Network, Information, and Computing Systems: 7th International ICST Conference, BIONETICS 2012, Lugano, Switzerland, December 10--11, 2012, Revised Selected Papers

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6, pp. 671–678. Morgan Kaufmann, San Mateo (1994) 5.

The algorithm is able to quickly react to various load level changes by temporarily modifying the learning parameter’s settings. We show in a set of experiments that using the Reactive ASR-FA significantly speeds up the adaptation process of ant routing algorithms and assures lower values of the mean packet delay. It can be also employed in DoS and DDoS attacks detection. Keywords: Adaptive routing 1 · Ant algorithms · Computer networks Introduction Many similarities can be found between swarms of insects and parallel, distributed information systems that are controlled in a decentralized manner.

Thus, in this case the best results can be obtained by modifying the learning rate ψ. Figure 7 (right) shows how the DDoS attack can be detected by analyzing the averaged value of the Anderson–Darling statistic. There is a high peak on the plot after the attack starts. It can be seen that also the end of the attack is visible as a second peak on the plot. The DDoS attack can be easily detected when using the Reactive ASR-FA algorithm, as it implies a change in the network conditions. 7 47 50 40 30 20 10 0 0 500 1000 1500 2000 Simulation Time [s] Fig.

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