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» M of N Features vs. Intrusion Detection
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ICCSA
2005
Springer
13 years 10 months ago
M of N Features vs. Intrusion Detection
In order to complement the incomplete training audit trails, model generalization is always utilized to infer more unknown knowledge for intrusion detection. Thus, it is important ...
Zhuowei Li, Amitabha Das
ICCV
2007
IEEE
14 years 6 months ago
N3M: Natural 3D Markers for Real-Time Object Detection and Pose Estimation
In this paper, a new approach for object detection and pose estimation is introduced. The contribution consists in the conception of entities permitting stable detection and relia...
Stefan Hinterstoisser, Selim Benhimane, Nassir Nav...
HICSS
2008
IEEE
115views Biometrics» more  HICSS 2008»
13 years 11 months ago
Mobile Device Profiling and Intrusion Detection Using Smart Batteries
This paper introduces capabilities developed for a Battery-Sensing Intrusion Protection System (B-SIPS) for mobile computers, which alerts when abnormal current changes are detect...
Timothy Buennemeyer, Theresa M. Nelson, Lee M. Cla...
DIMVA
2008
13 years 6 months ago
Embedded Malware Detection Using Markov n-Grams
Embedded malware is a recently discovered security threat that allows malcode to be hidden inside a benign file. It has been shown that embedded malware is not detected by commerci...
M. Zubair Shafiq, Syed Ali Khayam, Muddassar Faroo...
TIFS
2008
142views more  TIFS 2008»
13 years 4 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...