基于社会计算的IM恶意代码防御机制

发布时间：2018-03-16 12:14

本文选题：社会网络　切入点：即时通信网络　出处：《电子学报》2013年06期 　论文类型：期刊论文

【摘要】：即时通信(IM,Instant Messaging)网络已成为恶意代码传播的主要途径之一,本文提出了一种基于社会计算的IM恶意代码防御机制:利用用户与好友之间的社会信任关系,通过社会计算集成网络中多种反病毒软件的检测结果及用户的安全经验形成群体智慧,从而构成一个分布式协作防御机制.该机制利用即时通信网络平台,并依据好友间的交互行为计算动态信任,在IM客户端部署方案,用户之间实时相互协作抵御通过IM传播的恶意代码.实验结果表明,在大多数用户接受好友警告的情况下,即时通信网络中所有节点最终都被免疫,提高了整个社会网络防御IM恶意代码的能力.
[Abstract]:Instant messaging (IM) network has become one of the main ways to spread malicious code. In this paper, a defense mechanism of IM malicious code based on social computing is proposed, which is based on social trust relationship between users and friends. Through the detection results of a variety of anti-virus software and the security experience of users in the social computing integrated network, a group wisdom is formed, which forms a distributed cooperative defense mechanism, which makes use of the instant messaging network platform. The dynamic trust is calculated according to the interaction behavior between friends, and the scheme is deployed in IM client, and the users cooperate with each other in real time to resist the malicious code spread through IM. The experimental results show that most users accept the warning of their friends. All nodes in the instant messaging network are eventually immunized, improving the ability of the entire social network to defend against IM malicious code.
【作者单位】：中国石油大学(华东)计算机与通信工程学院;南京大学计算机软件新技术国家重点实验室;南开大学信息技术科学学院;
【基金】：国家自然科学基金资助项目(No.60973141,No.61272423) 国家重点基础研究发展计划项目(No.2013CB834204) 高等学校博士学科点专项科研基金资助项目(No.20100031110030) 中央高校基本科研业务费专项资金资助(No.13CX02027A)
【分类号】：TP393.08

【共引文献】