机会网络中隐私保护的网络编码方法研究

Opportunistic networks can be used in intermittently connected network environment for communication, in which the information is transmitted and shared through the opportunistic encounter between mobile nodes，and has a wide application prospect and practical value. Providing high privacy preservation is one of the key issues for successful deployment of opportunistic network applications. To solve the privacy preserving problems and challenges caused by unpredictable intermittent connectivity mode,randomly dynamic network topology characteristics and the lack of public key controllable routing and feedback mechanism in opportunistic networks, this project attempts to establish a theoretical framework for the combination of network coding and privacy preservation and use network coding to provide a high efficient privacy preserving method for opportunistic network:(1) Research and design low complexity secure network coding and decoding algorithm, which can resist node capture,eavesdropping, pollution, traffic analysis attacks and etc..(2) Research and design privacy preserving protocol based on network coding to protect privacy information,including user identity, location, data and behavioral characteristic. (3)Establish experimental methods and pocket switched network application demonstration for the network coding based privacy preservation to verify the effectiveness of the proposed algorithm and protocol. The expected results will provide scientific basis and technical reference for network coding based privacy protection method in opportunistic network.

机会网络可以满足网络间歇连通环境下的通信需求，通过移动节点的机会相遇实现消息的传输和共享，具有广泛的应用前景和实用价值。提供高隐私保护是机会网络应用成功部署的关键问题之一。针对机会网络不可预测的间歇连接模式、随机动态网络拓扑的特点和缺乏可控路由和信息反馈机制带来的隐私保护问题和挑战，本项目尝试利用网络编码进行隐私保护，通过网络编码与隐私保护相结合的理论框架的建立，提供一种适用于机会网络的高效隐私保护方法：（1）研究和设计能抵抗节点捕获、窃听、污染、流量分析等攻击的低复杂度安全网络编解码算法；（2）研究和设计基于网络编码的隐私保护协议，实现用户身份、位置、数据和行为特征隐私保护功能；（3）建立基于网络编码的隐私保护实验方法和手持设备组网应用示范，验证提出的算法和协议的有效性。预期成果将为机会网络隐私保护的网络编码方法提供科学基础和技术参考。

机会网络可以满足网络间歇连通环境下的通信需求，通过移动节点的机会相遇实现消息的传输和共享，具有广泛的应用前景和实用价值。提供高隐私保护是机会网络应用成功部署的关键问题之一。针对机会网络不可预测的间歇连接模式、随机动态网络拓扑的特点和缺乏可控路由和信息反馈机制带来的隐私保护问题和挑战，本项目尝试利用网络编码进行隐私保护，通过网络编码与隐私保护相结合的理论框架的建立，提供一种适用于机会网络的高效隐私保护方法：（1）研究和设计能抵抗节点捕获、窃听、污染、流量分析等攻击的低复杂度安全网络编解码算法；（2）研究和设计基于网络编码的隐私保护协议，实现用户身份、位置、数据和行为特征隐私保护功能；（3）建立基于网络编码的隐私保护实验方法和手持设备组网应用示范，验证提出的算法和协议的有效性。.主要取得如下四方面研究成果：（1）车载环境下基于网络编码技术的预测路由机制；（2）基于模糊集合的可信上下文安全路由机制；（3）动态社交网络环境下基于网络编码技术的隐私保护机制；（4）一种抗窃听和污染攻击的网络编码方案；已发表国际SCI期刊论文10篇，已录用国际SCI期刊论文1篇，已发表国际EI期刊1篇，已发表国际会议论文8篇，再投论文3篇；出版教材一部。其中在CCF认定B类期刊已发表4篇，CCF认定C类期刊已发表3篇，CCF认定C类会议3篇，已录用在CCF认定B类期刊论文1篇。受理专利1项。