SGER: Leveraging Advanced Hardware for Streaming Applications

该项目利用当前网络硬件和复杂数据流算法的进步来解决涉及网络管理和网络攻击的具有挑战性的互联网问题。内容可寻址存储器是由于其高效、恒定时间搜索能力而在网络路由硬件中普遍存在的商品硬件。 该项目利用内容可寻址存储器的这些特性来解决具有挑战性的分析和安全应用的各种在线数据流管理问题。具体而言，该项目的成果将包括：（1）用于数据流在线分析和检测不同网络攻击（包括分布式拒绝服务攻击和广告网络中的欺诈）的内容可寻址内存意识算法;以及（2）这些算法在具有内容可寻址存储器的网络处理器上的功能实现，从而证明了该方法的可行性和有效性。研究结果将对解决许多互联网应用面临的许多问题产生重大影响：在线统计可以为有效的网络管理，以及为检测广告网络中的拒绝服务攻击和欺诈，这扰乱了许多互联网应用的日常使用。该项目的资金支持培养一名博士。学生.一个新的研究生研究研讨会，涵盖数据库，网络，硬件和安全将被引入课程。这项研究的出版物、技术报告和实验数据将通过项目网站（http：//www.cs.ucsb.edu/cardsl/hardware.html）传播。

This project leverages current advances in network hardware and sophisticated data streaming algorithms to solve challenging internet problems involving network management and network attacks. Content addressable memories are commodity hardware that is ubiquitous in network routing hardware due to their efficient, constant time searching abilities. This project exploits these properties of content addressable memories to solve diverse on-line data stream management problems with challenging analysis and security applications. In particular, the results of this project will include: (1) content addressable memory conscious algorithms for the on-line analysis of data streams and the detection of different network attacks, including distributed denial of service attacks and fraud in advertisement networks; and (2) a functioning implementation of these algorithms on a network processor with content addressable memories, thus demonstrating the feasibility and efficiency of the approach.The research results will have significant impact in resolving many of the problems facing many internet applications: on-line statistics can provide the basis for efficient network management, as well as for detecting denial of service attacks and fraud in advertisement networks, which disrupts the everyday usage of many internet applications. Funds from this project support the training of one Ph.D. student. A new graduate research seminar covering databases, networks, hardware and security will be introduced into the curriculum. Publications, technical reports and experimental data from this research will be disseminated via the project website (http://www.cs.ucsb.edu/~dsl/hardware.html).