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» Intrusion Detection Based on Data Mining
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SDM
2007
SIAM
96views Data Mining» more  SDM 2007»
15 years 1 months ago
Understanding and Utilizing the Hierarchy of Abnormal BGP Events
Abnormal events, such as security attacks, misconfigurations, or electricity failures, could have severe consequences toward the normal operation of the Border Gateway Protocol (...
Dejing Dou, Jun Li, Han Qin, Shiwoong Kim, Sheng Z...
IMC
2009
ACM
15 years 6 months ago
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
WWW
2004
ACM
16 years 13 days ago
Mining models of human activities from the web
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...
ICDM
2007
IEEE
156views Data Mining» more  ICDM 2007»
15 years 3 months ago
Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors
This paper addresses the task of change analysis of correlated multi-sensor systems. The goal of change analysis is to compute the anomaly score of each sensor when we know that t...
Tsuyoshi Idé, Spiros Papadimitriou, Michail...
KDD
2009
ACM
168views Data Mining» more  KDD 2009»
15 years 6 months ago
CAPTCHA-based image labeling on the Soylent Grid
We introduce an open labeling platform for Computer Vision researchers based on Captchas, creating as a byproduct labeled image data sets while supporting web security. For the tw...
Peter Faymonville, Kai Wang, John Miller, Serge J....