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» Attack detection in time series for recommender systems
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KDD
2010
ACM
199views Data Mining» more  KDD 2010»
14 years 16 days ago
Online discovery and maintenance of time series motifs
The detection of repeated subsequences, time series motifs, is a problem which has been shown to have great utility for several higher-level data mining algorithms, including clas...
Abdullah Mueen, Eamonn J. Keogh
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 9 months ago
Visually mining and monitoring massive time series
Moments before the launch of every space vehicle, engineering discipline specialists must make a critical go/no-go decision. The cost of a false positive, allowing a launch in spi...
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jef...
ISCC
2006
IEEE
256views Communications» more  ISCC 2006»
14 years 2 months ago
A Wireless Distributed Intrusion Detection System and a New Attack Model
Denial-of-Service attacks, and jamming in particular, are a threat to wireless networks because they are at the same time easy to mount and difficult to detect and stop. We propo...
Marco Domenico Aime, Giorgio Calandriello, Antonio...
MICRO
2006
IEEE
124views Hardware» more  MICRO 2006»
14 years 2 months ago
LIFT: A Low-Overhead Practical Information Flow Tracking System for Detecting Security Attacks
Computer security is severely threatened by software vulnerabilities. Prior work shows that information flow tracking (also referred to as taint analysis) is a promising techniqu...
Feng Qin, Cheng Wang, Zhenmin Li, Ho-Seop Kim, Yua...
ECWEB
2007
Springer
162views ECommerce» more  ECWEB 2007»
14 years 2 months ago
Impact of Relevance Measures on the Robustness and Accuracy of Collaborative Filtering
The open nature of collaborative recommender systems present a security problem. Attackers that cannot be readily distinguished from ordinary users may inject biased profiles, deg...
Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke