基于社交关系映射的移动物联网蠕虫恶意程序群协同阻断模型研究

项目名称： 基于社交关系映射的移动物联网蠕虫恶意程序群协同阻断模型研究

项目编号： No.61201254

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 电子学与信息系统

项目作者： 黄辰

作者单位： 湖北大学

项目金额： 25万元

中文摘要： 以iPhone、iPad、安卓手机等智能手持终端为核心的移动物联网，在为人与人、人与物之间带来全新交互体验的同时，也为蠕虫恶意程序爆发性传染提供了滋生的土壤。传统的被动蠕虫入侵检测及传播模型分析，受限于具体蠕虫类型及网络结构，不足以在爆发初期进行有效阻断。随着移动物联网与人类社会生活的紧密融合，作为通信活动主体的智能手持终端具备了明显的社会化特征，对于蠕虫恶意程序的传播产生了深刻影响，所以挖掘社交通信内在联系，激励终端协同合作，将为主动阻断蠕虫传播带来新的可能。为此本项目提出基于社交关系映射的蠕虫恶意程序群协同阻断模型，采用ACP社会计算方法，通过构造虚拟社交关系模型，建立与蠕虫传播模型互动演化的平行系统，预测蠕虫传播趋势。本项目研究成果对于阐明蠕虫传播内在机理，揭示社交关系活动与蠕虫传播的相互作用规律具有重要意义，为在复杂异构网络环境下有效阻断蠕虫传播提供了新思路和理论依据。

中文关键词： 物联网；蠕虫；恶意程序；社交；

英文摘要： Smart handset such as iPhone, iPad and Android are the core of mobile internet of things, which brings new interactive experience for human to human and human to things, but they also provide convenience for malware propagation. Traditional passive malware detection and propagation model analysis, which are constrained by specific type of malware and network structure, cannot block malware in its early stage. Mobile internet of things is integrated with social life nowadays, smart handsets posses obvious social features, which impose influence to the propagation of malware. Exploring the internal relations in social communication, and motivating cooperation among smart handsets ,will bring new possibility to block malware actively. We propose a malware blocking model with group cooperation based on social relationship mapping. We adopt ACP social computing, construct a parallel system based on virtual social relationship model to predict the propagation trend of malware. The research result has important significance in illustrating the inherent mechanism of malware propagation, and revealing the action law between social activity and malware propagation. The result will also bring new idea and theoretical basis for blocking malware in complex heterogeneous network.

英文关键词： IoT；worm；malware；social；