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» Anomaly Detection Using Call Stack Information
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ECBS
2007
IEEE
188views Hardware» more  ECBS 2007»
13 years 10 months ago
Behavior Analysis-Based Learning Framework for Host Level Intrusion Detection
Machine learning has great utility within the context of network intrusion detection systems. In this paper, a behavior analysis-based learning framework for host level network in...
Haiyan Qiao, Jianfeng Peng, Chuan Feng, Jerzy W. R...
DSN
2006
IEEE
14 years 3 months ago
Accurate and Automated System Call Policy-Based Intrusion Prevention
One way to prevent control hijacking attack is to compare a network application’s run-time system calls with a pre-defined normal system call behavior model, and raise an alert...
Lap-Chung Lam, Wei Li, Tzi-cker Chiueh
DISCEX
2003
IEEE
14 years 2 months ago
Detecting Novel Scans Through Pattern Anomaly Detection
We introduce a technique for detecting anomalous patterns in a categorical feature (one that takes values from a finite alphabet). It differs from most anomaly detection methods u...
Alfonso Valdes
IJNSEC
2008
95views more  IJNSEC 2008»
13 years 9 months ago
Generalized Anomaly Detection Model for Windows-based Malicious Program Behavior
In this paper we demonstrate that it is possible in general to detect Windows-based malicious program behavior. Since S. Forrest et al. used the N-grams method to classify system ...
Xin Tang, Constantine N. Manikopoulos, Sotirios G....
ACSAC
2004
IEEE
14 years 22 days ago
RACOON: Rapidly Generating User Command Data For Anomaly Detection From Customizable Templates
One of the biggest obstacles faced by user command based anomaly detection techniques is the paucity of data. Gathering command data is a slow process often spanning months or yea...
Ramkumar Chinchani, Aarthie Muthukrishnan, Madhusu...