An Optimized FPN Network Attack Model Based on Improved Ant Colony Algorithm

DOI

10.2991/icmii-15.2015.22How to use a DOI?

Keywords

Fuzzy Petri net; net attack model; ant colony algorithm; BP algorithm

Abstract

FPN attack model can be widely applied to a variety of large and complex network environments. In this paper, we present an optimized FPN network attack model based on the improved ant colony algorithm. First, We apply the ant colony algorithm to the FPN network attack model to optimize the training procedure of weight parameters. Second, we introduce hybridizing and aberrance gene to the algorithm to improve the converging rate and global search capability. Experiments show that our algorithm achieves higher accuracy and faster convergent rate.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Huilin Wu
AU  - Wenjuan Wu
PY  - 2015/10
DA  - 2015/10
TI  - An Optimized FPN Network Attack Model Based on Improved Ant Colony Algorithm
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 114
EP  - 123
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.22
DO  - 10.2991/icmii-15.2015.22
ID  - Wu2015/10
ER  -