CIF: Small: Collaborative Research: Security in Dynamic Environments: Harvesting Network Randomness and Diversity

CIF：小型：协作研究：动态环境中的安全：收集网络随机性和多样性

• 批准号: 1320543
• 负责人: Shuangqing Wei
• 金额: $ 16.66万
• 依托单位: Louisiana State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-01 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1320543&HistoricalAwards=false
• 关键词: CIF; Small; Collaborative; Research; Security

The project aims at quantifying a general network's inner potentialfor supporting various forms of security by achieving secret commonrandomness between pairs or groups of its nodes. Statistical andcomputational secrecy measures are being considered against a generalpassive adversary. Common-randomness-achieving protocols are classifiedinto two groups: culture-building and crowd-shielding. The former achievescommon randomness between nodes situated in close proximity of each other,from correlated observations of specific (natural or induced) networkphenomena. The latter ties together the security of multiple communicationlinks, to the point where an adversary can no longer isolate and attacka single link without attacking the group as a whole. The broad range ofinvestigated protocols cover multiple topics, from multipath diversityto network tomography, from secure network coding to protocol coding,and from anonymous routing to the spread of epidemics. The protocolsharvest network randomness from diverse sources like ciphertext blocksoriginating at various terminals, contention protocols (delay randomness)or network topology (in highly-dynamic, or ad-hoc networks).Communication networks are naturally dynamic, inherently redundant,and largely unpredictable. While the former two features have longbeen recognized as a valuable resource for integrity, efficiencyand confidentiality, network unpredictability is often regarded as anincommodity. This project shows how network randomness can be harvested,and, together with diversity, exploited to enhance communicationsecurity. In doing so, it develops a more profound understanding aboutthe statistical nature of networks, which can be applied to a broad rangeof information-assurance objectives. The technical approaches and thegeneral philosophy developed in this project, and disseminated throughconferences and seminars, have the potential to inspire an abundance ofrelated research. The project will directly impact dozens of studentsthrough Senior Design projects, a research-and-open-project approach tocurriculum development, and three new graduate courses containing relatedtopics. The PIs are actively involved in programs aimed at increasingthe involvement of women, underrepresented minorities, and persons withdisabilities in engineering and computing sciences.

该项目旨在通过实现节点对或节点组之间的秘密公共随机性来量化通用网络支持各种形式安全性的内在潜力。 正在考虑针对一般被动对手采取统计和计算保密措施。实现通用随机性的协议分为两类：文化建设和人群屏蔽。前者通过对特定（自然或诱导）网络现象的相关观察，在彼此靠近的节点之间实现了共同的随机性。后者将多个通信链路的安全性联系在一起，以至于对手无法再隔离和攻击单个链路而不攻击整个组。广泛研究的协议涵盖多个主题，从多路径分集到网络断层扫描，从安全网络编码到协议编码，从匿名路由到流行病的传播。 这些协议从不同的来源获取网络随机性，例如源自不同终端的密文块、争用协议（延迟随机性）或网络拓扑（在高度动态或自组织网络中）。通信网络本质上是动态的、本质上是冗余的，并且在很大程度上是不可预测的。虽然前两个功能长期以来被认为是完整性、效率和机密性的宝贵资源，但网络的不可预测性通常被认为是一种不利因素。该项目展示了如何获取网络随机性，并与多样性一起利用来增强通信安全。在此过程中，它对网络的统计性质有了更深刻的理解，这可以应用于广泛的信息保障目标。 该项目中开发并通过会议和研讨会传播的技术方法和一般理念有可能激发大量相关研究。该项目将通过高级设计项目、研究和开放项目的课程开发方法以及三门包含相关主题的新研究生课程，直接影响数十名学生。 PI 积极参与旨在提高妇女、代表性不足的少数族裔和残疾人参与工程和计算科学的项目。