from    
to    
search  

 


Symmetry restoration and quantum Mpemba effects in chaotic andlocalization sy...
Quantum Gases 2024
Stories of Fermions in an Optical Box
Contractive Unitary and Classical Shadow Tomography
报告题目:
『清华信息大讲堂』第 72 讲:NetShield: Massive Semantics-based Vulnerability Signature Matching for High-speed Networks
 报告人:
Prof. Yan Chen (陈焰)
Northwestern University, USA
报告时间:
2011-03-21 19:00
报告地点:
信息楼(FIT) 1-312
主办单位:
信息学院
  简介:

Abstract:

Accuracy and speed are the two most important metrics for Network Intrusion Detection/Prevention Systems (NIDS/NIPSes). Due to emerging polymorphic attacks and the fact that in many cases regular expressions (regexes) cannot capture the vulnerability conditions accurately, the accuracy of existing regex-based NIDS/NIPS systems has become a serious problem. In contrast, the recently-proposed vulnerability signatures can exactly describe the vulnerability conditions and achieve better accuracy. However, how to efficiently apply vulnerability signatures to high speed NIDS/NIPS with a large ruleset remains an untouched but challenging issue.

We present the first systematic design of vulnerability signature based parsing and matching engine, NetShield, which achieves multi-gigabit throughput while offering much better accuracy. Particularly, we made the following contributions: (i) we proposed a candidate selection algorithm which efficiently matches thousands of vulnerability signatures simultaneously requiring a small amount of memory; (ii) we proposed an automatic lightweight parsing state machine achieving fast protocol parsing. Experimental results show that the core engine of NetShield achieves at least 1.9+Gbps signature matching throughput on a 3.8GHz single-core PC, and can scale-up to at least 11+Gbps under a 8-core machine for 794 HTTP vulnerability signatures. We release our prototype and sample signatures at www.nshield.org.

陈焰2003年获加州大学伯克利分校计算机科学博士学位,现为西北大学电子工程与计算机科学系副教授,计算机科学教学委员会主席, 互联网安全技术实验室主任,主要研究方向为Internet网络管理/测量和网络安全。2005年获得美国能源部青年成就奖(Early CAREER Award),2007年获得美国国防部(Air Force of Scientific Research)青年学者奖(Young Investigator Award),20042005年分别获得Microsoft可信计算奖(Trustworthy Computing Awards)。Google Scholar显示,论文总引用超过3600次,H-index指数为21。申请了4项专利。论文Generic and Automatic Address Configuration for Data Center Networks 入选SIGCOMM 2010最佳论文候选,应邀直接在ACM/IEEE Transaction on Networking上出版. 受邀加入ACM CCS 20092011 SIGCOMM IMC 2009的组织委员会, 并担任ACM CCS 2011的总主席。自2004年起多次受邀在美国自然科学基金委信息科学与工程处担任评委, 并多次受邀担任美国能源部(DOE)和美国空军科研部(DOD) SBIR计划及STTR计划的评委。

今日相关信息
Crystallization and Semicrystalline P...
化学系迎百年校庆系列学术报告: Chemica...
气候变化与新能源产业背景下的国际合作
Causality-based process topology des...
统计数据、传记资料、术语定义检索案例分析...
 
同类别相关信息
人工智能拓展火灾安全研究的进展
第四届清华信息前沿交叉论坛
浅谈人工智能重塑城市公共安全治理新范式
AIR学术沙龙第37期|创新智能环境:无...
脑机接口时代,我们还能做什么?——脑科...
学术活动