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Supporting a Real-Time Distributed Intrusion Detection Application on GATES
 

Summary: Supporting a Real-Time Distributed Intrusion
Detection Application on GATES
Qian Zhu, Liang Chen, and Gagan Agrawal
Department of Computer Science and Engineering
The Ohio State University, Columbus OH 43210
{zhuq, chenlia, agrawal}@cse.ohio-state.edu
Abstract. Increasingly, a number of applications across computer sciences
and other science and engineering disciplines rely on, or can potentially ben-
efit from, analysis and monitoring of data streams. We view the problem of
flexible and adaptive processing of distributed data streams as a grid com-
puting problem. In our recent work, we have been developing a middleware,
GATES (Grid-based AdapTive Execution on Streams), for enabling grid-
based processing of distributed data streams.
This paper reports an application study using the GATES middleware sys-
tem. We focus on the problem of intrusion detection. We have created a
distributed and self-adaptive real-time implementation of the algorithm pro-
posed by Eskin using our middleware. The main observations from our ex-
periments are as follows. First, our distributed implementation can achieve
detection rates which are very close to the detection rate by a centralized
algorithm. Second, our implementation is able to effectively adjust the adap-

  

Source: Agrawal, Gagan - Department of Computer Science and Engineering, Ohio State University

 

Collections: Computer Technologies and Information Sciences