Christopher Kruegel Darren Mutz William Robertson Fredrik Valeur Reliable...  Home/Search
Context Related
| auto.tuwien.ac.at/~chris/...2003_07.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: auto.tuwien.ac.at/...publications (more) (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: Intrusion detection systems (IDSs) attempt to identify attacks by comparing collected data to predefined signatures known to be malicious (misuse-based IDSs) or to a model of legal behavior (anomaly-based IDSs). Anomaly-based approaches have the advantage of being able to detect previously unknown attacks, but they suffer from the difficulty of building robust models of acceptable behavior which may result in a large number of false alarms. Almost all current anomaly-based intrusion detection... (Update)
Cited by: More
Visualizing and Identifying Intrusion Context from System Calls.. - Li, Das (2004) (Correct)
Active bibliography (related documents): More All
2.3: Bayesian Event Classification for Intrusion Detection - Christopher Kruegel Darren (2003) (Correct)
0.3: A Multiagent Approach to Outbound Intrusion Detection - Mandujano (2004) (Correct)
0.3: Utilizing Statistical Characteristics of N-grams for.. - li, das, nandi (2003) (Correct)
Similar documents based on text:
3.0: Unknown - (Correct)
BibTeX entry: (Update)
C. Kruegel, D. Mutz, W. Robertson, and F. Valeur. Bayesian event classification for intrusion detection. In 19th Annual Computer Security Applications Conference,LasVe- gas, Nevada, December 08 - 12 2003. http://citeseer.ist.psu.edu/kruegel03bayesian.html More
@misc{ kruegel03bayesian,
author = "C. Kruegel and D. Mutz and W. Robertson and F. Valeur",
title = "Bayesian event classification for intrusion detection",
text = "C. Kruegel, D. Mutz, W. Robertson, and F. Valeur. Bayesian event classification
for intrusion detection. In 19th Annual Computer Security Applications Conference,LasVe-
gas, Nevada, December 08 - 12 2003.",
year = "2003",
url = "citeseer.ist.psu.edu/kruegel03bayesian.html" }
Citations (may not include all citations):1543 Probabilistic Reasoning in Intelligent Systems: Networks of .. (context) - Pearl - 1997
466 Probability and Measure (context) - Billingsley - 1995
142 A Sense of Self for UNIX Processes - Forrest - 1996
140 Snort - Lightweight Intrusion Detection for Networks (context) - Roesch - 1999
133 IEEE Transactions on Software Engineering (context) - Denning, Detection - 1987
132 EMERALD: Event Monitoring Enabling Responses to Anomalous Li.. - Porras, Neumann - 1997
60 Detecting intrusions using system calls: Alternative data mo.. - Warrender, Forrest et al. - 1999
59 USTAT: A Real-time Intrusion Detection System for UNIX - Ilgun - 1993
52 Bayesian Networks and Decision Graphs (context) - Jensen - 2001
50 NetSTAT: A Network-based Intrusion Detection System - Vigna, Kemmerer - 1999
48 Inducing probabilistic grammars by bayesian model merging - Stolcke, Omohundro - 1994
41 The SRI IDES Statistical Anomaly Detector (context) - Javitz, Valdes - 1991
22 DARPA Intrusion Detection Evaluation (context) - Labs - 1999
19 Testing Intrusion Detection Systems: A Critique (context) - McHugh - 1998
17 The Base-Rate Fallacy and its Implications for the Difficult.. - Axelsson - 1999
13 Model-based Monitoring for Cyber Attack Detection (context) - Valdes, Skinner - 2000
9 Service Specific Anomaly Detection for Network Intrusion Det.. (context) - Kruegel, Toth et al. - 2002
7 Live traffic analysi TCPIP gateway (context) - Valdes, analysis et al. - 1998
3 Bayesian Classification Model for Real-Time Intrusion Detect.. (context) - Puttini, Marrakchi et al. - 2002
3 Active Platform Security through Intrusion Detection Using N.. - Sebyala, Olukemi et al. - 2002
2 A Stochastic Model for Intrusions (context) - Goldman - 2002
2 http: //docs (context) - Module, --
http://www.intersectalliance.com/
http://www.iss.net/products_
http://www.sis.pitt.edu/genie/
Documents on the same site (http://www.auto.tuwien.ac.at/~chris/research/publications.html): More
Protecting Users against Phishing Attacks - Kirda, Kruegel (2005) (Correct)
Connection-History Based Anomaly Detection - Toth, Krügel (2002) (Correct)
Noxes: A Client-Side Solution for Mitigating.. - Kirda, Kruegel.. (2006) (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