基于遗传算法的社交网络蠕虫围堵修补方案

Donghwa Kang, Seoyeon Kim, Jinmang Jung, Bongjae Kim, Hong Min, Junyoung Heo
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引用次数: 1

摘要

随着在线社交网站用户数量的增加,针对在线社交网站的网络攻击也越来越多。社交网站用户之间的强连通性使得感兴趣的信息迅速传播。如果蠕虫伪装成吸引用户兴趣的信息在网络社交网站上传播,会造成很大的危害。因此,一个快速的补丁传播方案需要能够抑制蠕虫的活动。本文提出了一种基于遗传算法的在线社交网络快速补丁传播方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic algorithm based patching scheme for worm containment on social network
With the increasing number of online social networking site users, there is increasing cyber attacks on online social networks. Strong connectivity among users of the social networking site makes the information of interest rapidly spread. If the worm disguised as information to attract users' interest spreads on online social networking sites, it can cause great damage. Therefore, a fast patch propagation schemes need to be able to inhibit the activity of the worm. In this paper, we propose a fast patch propagation scheme based on genetic algorithms for online social networks.
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