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» Detecting Anomalies and Intruders
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DISCEX
2003
IEEE
15 years 5 months ago
Statistical Approaches to DDoS Attack Detection and Response
The nature of the threats posed by Distributed Denial of Service (DDoS) attacks on large networks, such as the Internet, demands effective detection and response methods. These me...
Laura Feinstein, Dan Schnackenberg, Ravindra Balup...
DIM
2009
ACM
15 years 4 months ago
Using identity credential usage logs to detect anomalous service accesses
For e-commerce companies providing online services, fraudulent access resulting from theft of identity credentials is a serious concern. Such online service providers deploy a var...
Daisuke Mashima, Mustaque Ahamad
RAID
2000
Springer
15 years 3 months ago
Adaptive, Model-Based Monitoring for Cyber Attack Detection
Inference methods for detecting attacks on information resources typically use signature analysis or statistical anomaly detection methods. The former have the advantage of attack...
Alfonso Valdes, Keith Skinner
WORM
2003
15 years 1 months ago
Detection of injected, dynamically generated, and obfuscated malicious code
This paper presents DOME, a host-based technique for detecting several general classes of malicious code in software executables. DOME uses static analysis to identify the locatio...
Jesse C. Rabek, Roger I. Khazan, Scott M. Lewandow...
TPDS
2008
130views more  TPDS 2008»
14 years 11 months ago
Detecting VoIP Floods Using the Hellinger Distance
Voice over IP (VoIP), also known as Internet telephony, is gaining market share rapidly and now competes favorably as one of the visible applications of the Internet. Nevertheless,...
Hemant Sengar, Haining Wang, Duminda Wijesekera, S...