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ECRIME
2007
15 years 10 months ago
A comparison of machine learning techniques for phishing detection
There are many applications available for phishing detection. However, unlike predicting spam, there are only few studies that compare machine learning techniques in predicting ph...
Saeed Abu-Nimeh, Dario Nappa, Xinlei Wang, Suku Na...
ICASSP
2009
IEEE
15 years 10 months ago
Detection of sparse signals under finite-alphabet constraints
In this paper, we solve the problem of detecting the entries of a sparse finite-alphabet signal from a limited amount of data, for instance obtained by compressive sampling. While...
Zhi Tian, Geert Leus, Vincenzo Lottici
170
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ACSAC
2004
IEEE
15 years 10 months ago
Detecting Exploit Code Execution in Loadable Kernel Modules
In current extensible monolithic operating systems, loadable kernel modules (LKM) have unrestricted access to all portions of kernel memory and I/O space. As a result, kernel-modu...
Haizhi Xu, Wenliang Du, Steve J. Chapin
APNOMS
2006
Springer
15 years 10 months ago
Detecting and Identifying Network Anomalies by Component Analysis
Many research works address detection and identification of network anomalies using traffic analysis. This paper considers large topologies, such as those of an ISP, with traffic a...
Le The Quyen, Marat Zhanikeev, Yoshiaki Tanaka
ACISICIS
2009
IEEE
15 years 10 months ago
Temporal Pattern Recognition in Video Clips Detection
Temporal representation and reasoning plays an important role in Data Mining and Knowledge Discovery, particularly, in mining and recognizing patterns with rich temporal informati...
Aihua Zheng, Jixin Ma, Bin Luo, Miltos Petridis, S...