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IDA
2007
Springer
13 years 5 months ago
Anomaly detection in data represented as graphs
An important area of data mining is anomaly detection, particularly for fraud. However, little work has been done in terms of detecting anomalies in data that is represented as a g...
William Eberle, Lawrence B. Holder
KDD
2010
ACM
250views Data Mining» more  KDD 2010»
13 years 7 months ago
On community outliers and their efficient detection in information networks
Linked or networked data are ubiquitous in many applications. Examples include web data or hypertext documents connected via hyperlinks, social networks or user profiles connected...
Jing Gao, Feng Liang, Wei Fan, Chi Wang, Yizhou Su...
RAID
1999
Springer
13 years 10 months ago
Anomaly Intrusion Detection Systems: Handling Temporal Relations Between Events
Lately, many approaches have been developed to discover computer abuse. Some of them use data mining techniques to discover anomalous behavior in audit trail, considering this beh...
Alexandr Seleznyov, Seppo Puuronen
ICPR
2002
IEEE
13 years 10 months ago
Parzen-Window Network Intrusion Detectors
Network intrusion detection is the problem of detecting anomalous network connections caused by intrusive activities. Many intrusion detection systems proposed before use both nor...
Dit-Yan Yeung, Calvin Chow
INFOCOM
2007
IEEE
14 years 1 days ago
Detecting Wormhole Attacks in Wireless Networks Using Connectivity Information
Abstract—We propose a novel algorithm for detecting wormhole attacks in wireless multi-hop networks. The algorithm uses only connectivity information to look for forbidden substr...
Ritesh Maheshwari, Jie Gao, Samir R. Das