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Sirti Bestows Award of Honor
October 21, 2010. Billie Moreland, PhD, of Billie Moreland and Associates and Steve Simmons, PhD, E...

Triangle %u201CGraduates%u201D at Sweet Sixteen
The Idea (1994)
In June 1994, while on a layover in the San Francisco airport, Dr. Steve Simmons cam...

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06/25/2003 - EWU Escalates Security Research

Funded by the TINE congressional grants and supported by the masters in computer science program at SIRTI, Dr. Atsushi Inoue, EWU CS, and his students have conducted research projects in cyber security. The results have reached the point of publication and presentation to a national audience. Dr. Inoue presented the paper, “Synergistic And Perceptual Intrusion Detection With Reinforcement: SPIDeR,” at the 14th International Artificial Intelligence and Cognitive Science Conference in Cincinnati last April. This research project used artificial intelligence techniques to detect network intrusions. Dr Inoue and two of his graduate students in the Masters of Computer Science Program, Patrick Miller and John Mill, did the research during the past year.

A more practical, hacker versus intruder, version of this paper will be presented to the Black Hat cyber security conference in Las Vegas in July. Inoue’s student, Patrick Miller, a recent graduate of EWU masters in computer science program, will present the paper.

Back Hat Cyber Security Conference is noted as one of the most significant -- and largest -- gatherings of specialists at the cutting edge of the vital security issues facing the world today. Miller’s paper is: ”SPIDeR: A Distributed Multi-Agent Intrusion Detection and Response Framework”.

For the true security devotee in the Terabyte Triangle, this abstract of the paper appears on the Back Hat Web site.

The Synergistic and Perceptual Intrusion Detection Systems with Reinforcement (SPIDeR) framework coordinates the results from multiple intrusion detection agents distributed throughout a network. These agents are capable of utilizing widely different computational models ranging from fuzzy logic to regular expressions. The system centrally combines the agent's results where they are used to produce an automated response. As the operational environment changes over time, agents and sensors are dynamically added and trimmed. This also allows an administrator to balance the use of system resources vs. system security. The use of heterogeneous sensor agents provides a level of immunity to attacks against the IDS that is not possible in single model architectures while simultaneously decreasing the rate of false-positives. These agents will, in addition to using diverse computational models, analyze diverse data sources.

During the presentation, Miller will discuss the ongoing research and development that is taking place on SPIDeR -- a project proposed and supervised by Dr. Atsushi Inoue, the director of the Inland Northwest Security Systems Initiative (INSSI) within the Department of Computer Science at Eastern Washington University. Particular attention will be focused on the need for multiple, heterogeneous agents. Time will also be spent examining different detection methodologies and the computational models best suited to those in different environments.

Many automated response systems suffer from a high number of false-positives prohibiting an administrator from assigning the most appropriate response. These systems often also suffer from a prohibitive degree of rigidity. This presentation will explore the use of fuzzy logic systems, in coordination with administrator feedback to develop a more flexible, adaptive response system.

Miller has spent the last year and a half as a primary researcher and developer for the SPIDeR project, a knowledge-based distributed intrusion detection system, part of Eastern Washington University's cyber security initiative. Prior to SPIDeR, Miller performed a number of security audits that focused on the unique security needs of colleges and universities. He has been asked to present on this topic at both a local and national level.

Billie Moreland
 
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