TWC: Medium: Collaborative: Active Security

TWC：媒介：协作：主动安全

• 批准号: 1406225
• 负责人: Jonathan Smith
• 金额: $ 36万
• 依托单位: University of Pennsylvania
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1406225&HistoricalAwards=false
• 关键词: TWC; Medium; Collaborative; Active; Security

Computer and network security is currently challenged by the need to secure diverse network environments including clouds and data-centers, PCs and enterprise infrastructures. This diversity of environments is coupled to increased attack sophistication. Today's tools for securing network and computing infrastructures can be painstakingly composed and configured using available components, but fail to automatically learn from their environment and actively protect it. This research introduces Active Security, which is an architectural approach with fundamental advantages for network defenders; Active Security continuously senses threats and adapts defenses to those threats, including those previously unseen.Active Security prototyping and applications incorporate a novel high-rate decision procedure that avoids manual intervention. The project addresses: (1) the characteristics of network 'sensors' most useful to an observe-orient-decide-act (OODA) loop; (2) decision and control algorithms for determining appropriate actions based on sensed events; (3) the infrastructure required for robust and trustworthy systems requiring minimal human-in-the-loop interaction; (4) automated defense approaches viable in diverse network settings that do no harm and are recoverable; and (5) metrics for performance assessment of an Active Security system such as responsiveness and accuracy.Active Security's central themes of network security, network sensing, and automated defenses integrate naturally into both graduate and undergraduate education at participating institutions, including both midshipmen at the United States Naval Academy and cadets at the United States Military Academy. Network security is an increasing concern for society at large, and an Active Security implementation is straightforward to deploy on networks equipped with programmable software defined networking (SDN) controllers, a technology increasingly present in data center, carrier and enterprise networks.

计算机和网络安全目前面临着保护各种网络环境的挑战，包括云和数据中心、PC和企业基础设施。这种环境的多样性与攻击的复杂性相结合。今天的工具，用于保护网络和计算基础设施，可以煞费苦心地组成和配置使用可用的组件，但不能自动学习，从他们的环境，并积极保护it. This研究介绍了主动安全，这是一个架构的方法与网络防御者的根本优势;主动安全不断感知威胁并调整防御措施以应对这些威胁，包括那些以前看不见的。主动安全原型和应用程序结合了一个新的高速率决策过程，避免人工干预。 该项目涉及：（1）网络“传感器”的特性对感知-定向-决策-行动（OODA）循环最有用;（2）基于感知事件确定适当行动的决策和控制算法;（3）需要最少人在循环中交互的鲁棒和可信系统所需的基础设施;（4）在各种网络设置中可行的自动防御方法，这些方法不会造成伤害并且是可恢复的;主动安全系统的性能评估指标，如响应性和准确性。主动安全的网络安全、网络传感和自动防御的中心主题自然地融入了参与机构的研究生和本科生教育，包括美国海军学院的海军军官候补生和美国军事学院的学员。 网络安全是整个社会日益关注的问题，主动安全实施可以直接部署在配备可编程软件定义网络（SDN）控制器的网络上，SDN控制器是数据中心，运营商和企业网络中越来越多的技术。