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TSMC
2011
228views more  TSMC 2011»
13 years 2 months ago
Privacy-Preserving Outlier Detection Through Random Nonlinear Data Distortion
— Consider a scenario in which the data owner has some private/sensitive data and wants a data miner to access it for studying important patterns without revealing the sensitive ...
Kanishka Bhaduri, Mark D. Stefanski, Ashok N. Sriv...
ICPR
2006
IEEE
14 years 8 months ago
Defect detection in low-contrast glass substrates using anisotropic diffusion
In this research, we propose an anisotropic diffusion scheme to detect defects in low-contrast surface images and, especially, aim at glass substrates used in TFT-LCDs (Thin Film ...
Du-Ming Tsai, Shin-Min Chao, Yan-Hsin Tseng, Yuan-...
HICSS
2008
IEEE
222views Biometrics» more  HICSS 2008»
14 years 2 months ago
A Comprehensive Fuzzy Logic Model for Feature Performance Assessment against Network Attacks
—The feature selection phase is one of the first, and yet very important, tasks to be completed during the development of any Intrusion Detection System. If this phase is neglec...
Iosif-Viorel Onut, Ali A. Ghorbani
WEBI
2009
Springer
14 years 2 months ago
Data Mining for Malicious Code Detection and Security Applications
: Data mining is the process of posing queries and extracting patterns, often previously unknown from large quantities of data using pattern matching or other reasoning techniques....
Bhavani M. Thuraisingham
ISPEC
2005
Springer
14 years 1 months ago
An Email Worm Vaccine Architecture
We present an architecture for detecting “zero-day” worms and viruses in incoming email. Our main idea is to intercept every incoming message, prescan it for potentially danger...
Stelios Sidiroglou, John Ioannidis, Angelos D. Ker...