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» Anomaly Detection Using the Dempster-Shafer Method
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TIFS
2008
142views more  TIFS 2008»
13 years 7 months ago
An FPGA-Based Network Intrusion Detection Architecture
Abstract--Network intrusion detection systems (NIDSs) monitor network traffic for suspicious activity and alert the system or network administrator. With the onset of gigabit netwo...
Abhishek Das, David Nguyen, Joseph Zambreno, Gokha...
DISCEX
2003
IEEE
14 years 29 days 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...
TIP
2008
169views more  TIP 2008»
13 years 7 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
SP
2006
IEEE
127views Security Privacy» more  SP 2006»
14 years 1 months ago
Siren: Catching Evasive Malware (Short Paper)
With the growing popularity of anomaly detection systems, which is due partly to the rise in zero-day attacks, a new class of threats have evolved where the attacker mimics legiti...
Kevin Borders, Xin Zhao, Atul Prakash
ICASSP
2011
IEEE
12 years 11 months ago
An adaptive approach to abnormal heart sound segmentation
Heart sound is one of the significant bio-signals to diagnose certain cardiac anomalies. Aiming to provide an automatic heart sounds analysis to medical professionals, we present...
Dinesh Kumar, Paulo Carvalho, Manuel Antunes, Rui ...