融合泛在网的协同防护与安全风险预测

项目名称： 融合泛在网的协同防护与安全风险预测

项目编号： No.61272419

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 自动化技术、计算机技术

项目作者： 戚湧

作者单位： 南京理工大学

项目金额： 82万元

中文摘要： 融合泛在网技术是下一代网络建设的重要核心支撑技术。本项目旨在从融合泛在网的协同防护体系、智慧安全服务模型与安全风险预测与动态控制等层面开展安全风险管理的研究工作：构建融合泛在网安全的协同防护体系，通过证据投影分解来拓展识别框架，设计弱协调性和受限默认确定性决策规则，给出安全风险因素识别条件，并对融合泛在网安全态势分析方法的有效性进行推导和论证,研究安全策略层次联合建模方法，结合风险事件之间的因果关系，定位关键风险；根据融合泛在网的结构特性和行为特性，研究时变因素对马尔可夫链预测精度的影响，给出安全风险事件序列的"马氏性"检验和状态分级，并论证风险预测的稳健性。本项目在理论方法创新的同时，兼顾技术实用性，结合实际应用背景开展验证。本项目的研究将促进融合泛在网安全技术从单一安全度量处理到安全风险综合分析理论的深化。

中文关键词： 融合泛在网；安全；协同防御；风险分析；动态控制

英文摘要： Fusion ubiquitous network (FUN) technology is an important core technology support of the NGN.The project aims to research FUN security risk management from three levels, which includs the collaborative protection system of FUN, intelligent network security service model, security risk forecast and dynamic control. So the research contents of this project are: Build a FUN security synergy protection architechture, through the evidence decomposition to expand the identification framework, design of weak coordination and limited default deterministic decision rule. Thus it gives the security risk factor identification condition, and FUN security posture analysis methods derivation and demonstrate the effectiveness, derives and demonstrates the effectiveness of the FUN security posture analysis methods.Study on the joint security policy-level modeling methods, with a causal relationship between risk events, positions the key risk, and assesses the global safety.Study on time-varying factors on the Markov chain prediction accuracy, the sequence of events on the security risk of "Markov" state inspection and grading is given, and it demonstrates the robustness of risk prediction, according to the structural characteristics and behavior characteristics of the FUN.This project innovates theoretical methods. Meanwhile,

英文关键词： the ubiquitous network；security；collaborative protection；Risk analysis；Dynamic control