Leonid Portnoy  Home/Search
Context Related
| columbia.edu/ids/p...usterthesis00.pdf Cached: PS.gz PS PDF This document uses CoBlitz to cache paper downloads. If your firewall is blocking outgoing connections to port 3125, you can use these links to download local copies.
Image Update HelpPS.gz PS PDF From: purdue.edu/homes/clifton/cs590... (more) (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: Intrusions pose a serious security threat in a network environment, and therefore need to be promptly detected and dealt with. New intrusion types, of which detection systems may not even be aware, are the most difficult to detect. Current signature based methods and learning algorithms which rely on labeled data to train, generally can not detect these new intrusions. We present a framework for automatically detecting intrusions, new or otherwise, even if they are yet unknown to the... (Update)
Cited by: More
A Geometric Framework for Unsupervised Anomaly - Detection Detecting Intrusions (Correct)
Enhancing Data Analysis with Noise Removal - Hui Xiong Member (Correct)
A Clustering Algorithm for Intrusion Detection - Qiang Wang Vasileios (Correct)
Similar documents (at the sentence level):
61.3%: Intrusion Detection with Unlabeled Data Using Clustering - Portnoy (2001) (Correct)
Active bibliography (related documents): More All
0.1: Mining for High Dimensional Clusters using Projections and.. - Hinneburg (2000) (Correct)
0.1: Successful Search and Rescue in - Simulated Disaster Areas (2005) (Correct)
0.0: Detecting Malicious Software by Monitoring.. - Apap, Honig.. (2001) (Correct)
Similar documents based on text: More All
0.4: A Geometric Framework for Unsupervised Anomaly.. - Eskin, Arnold.. (2002) (Correct)
0.4: The Implementation of IDA: An Intrusion Detection Agent System - Asaka, Taguchi, Goto (Correct)
0.4: Real Time Data Mining-based Intrusion Detection - Lee, Stolfo, Chan, Eskin.. (2001) (Correct)
Related documents from co-citation: More All
7: Data mining approaches for intrusion detection - Lee, Stolfo - 1998
4: A study in using neural networks for anomaly and misuse detection (context) - Ghosh, Schwartzbard - 1999
4: IEEE Transactions on Software Engineering (context) - Denning, Past - 1980
BibTeX entry: (Update)
L. Portnoy, E. Eskin, S. Stolfo. Intrusion detection with unlabeled data using clustering. In ACM Workshop on Data Mining Applied to Security (DMSA 2001. http://citeseer.ist.psu.edu/portnoy01intrusion.html More
@misc{ portnoy01intrusion,
author = "L. Portnoy and E. Eskin and S. Stolfo",
title = "Intrusion detection with unlabeled data using clustering",
text = "L. Portnoy, E. Eskin, S. Stolfo. Intrusion detection with unlabeled data
using clustering. In ACM Workshop on Data Mining Applied to Security (DMSA
2001.",
year = "2001",
url = "citeseer.ist.psu.edu/portnoy01intrusion.html" }
Citations (may not include all citations):897 Introduction to Statistical Pattern Recognition (context) - Fukunaga - 1990
240 Advances in neural information processing systems (context) - Touretzky, Fritzke et al. - 1995
210 A density-based algorithm for discovering clusters in large .. - Ester, Kriegel et al. - 1996 DBLP
133 Outliers in Statistical Data (context) - Barnett, Lewis - 1994
133 IEEE Transactions on Software Engineering (context) - Denning, detection - 1987
22 Anomaly detection over noisy data using learned probabil- it.. - Eskin - 2000
6 Vandenhoeck and Ruprecht (context) - Bock - 1974
1 A study in using neural networks (context) - Ghosh, Schwartzbard
The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://www.cs.purdue.edu/homes/clifton/cs590m/): More
Using Finite Automata to Mine Execution Data for Intrusion.. - Michael, Ghosh (2000) (Correct)
Privacy Preserving Association Rule Mining in Vertically.. - Vaidya (2001) (Correct)
Improving Intrusion Detection Performance Using Keyword.. - Lippmann, Cunningham (1999) (Correct)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC