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ISCAPDCS
2004

Detecting Grid-Abuse Attacks by Source-based Monitoring

13 years 4 months ago
Detecting Grid-Abuse Attacks by Source-based Monitoring
While it provides the unprecedented processing power to solve many large scale computational problems, GRID, if abused, has the potential to easily be used to launch (for instance, denial-of-service) attacks to other computer systems. This paper introduces a methodology to prevent GRID infrastructure from succumbing to such activities. Our system is designed to detect, classify, and control GRID-abuse attacks. The current implementation of our system uses system calls as raw features, while the chi-square statistical method is used for attack detection, and fisher linear discriminant analysis is used for attack classification. The performance evaluation shows our system can achieve a high detection rate (over 92%) with very low false alarm rate (virtually zero), and small detection delay (about 10 seconds). For the detected attacks, our system classifies them with average accuracy over 82%.
Jianjia Wu, Dan Cheng, Wei Zhao
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where ISCAPDCS
Authors Jianjia Wu, Dan Cheng, Wei Zhao
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