@inproceedings{27a65e6ed3ae4d6c9a56e47e10a9fa0b,
title = "DDDAS/ITR: A data mining and exploration middleware for grid and distributed computing",
abstract = "We describe our project that marries data mining together with Grid computing. Specifically, we focus on one data mining application - the Minnesota Intrusion Detection System (MINDS), which uses a suite of data mining based algorithms to address different aspects of cyber security including malicious activities such as denial-of-service (DoS) traffic, worms, policy violations and inside abuse. MINDS has shown great operational success in detecting network intrusions in several real deployments. In sophisticated distributed cyber attacks using a multitude of wide-area nodes, combining the results of several MINDS instances can enable additional early-alert cyber security. We also describe a Grid service system that can deploy and manage multiple MINDS instances across a wide-area network.",
keywords = "Data mining, Grid computing",
author = "Weissman, {Jon B.} and Vipin Kumar and Varun Chandola and Eric Eilertson and Levent Ertoz and Gyorgy Simon and Seonho Kim and Jinoh Kim",
year = "2007",
doi = "10.1007/978-3-540-72584-8_159",
language = "English (US)",
isbn = "9783540725831",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "1222--1229",
booktitle = "Computational Science - ICCS 2007 - 7th International Conference, Proceedings, Part I",
note = "7th International Conference on Computational Science, ICCS 2007 ; Conference date: 27-05-2007 Through 30-05-2007",
}