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ICDM
2007
IEEE
199views Data Mining» more  ICDM 2007»
14 years 1 months ago
Discovering Structural Anomalies in Graph-Based Data
The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly det...
William Eberle, Lawrence B. Holder
NETWORKING
2004
13 years 8 months ago
Detecting Traffic Anomalies through Aggregate Analysis of Packet Header Data
If efficient network analysis tools were available, it could become possible to detect the attacks, anomalies and to appropriately take action to contain the attacks. In this paper...
Seong Soo Kim, A. L. Narasimha Reddy, Marina Vannu...
ISI
2008
Springer
13 years 6 months ago
Anomaly detection in high-dimensional network data streams: A case study
In this paper, we study the problem of anomaly detection in high-dimensional network streams. We have developed a new technique, called Stream Projected Ouliter deTector (SPOT), t...
Ji Zhang, Qigang Gao, Hai H. Wang
CIKM
2011
Springer
12 years 7 months ago
Detecting anomalies in graphs with numeric labels
This paper presents Yagada, an algorithm to search labelled graphs for anomalies using both structural data and numeric attributes. Yagada is explained using several security-rela...
Michael Davis, Weiru Liu, Paul Miller, George Redp...
AINA
2007
IEEE
14 years 1 months ago
On the Contribution of Preamble to Information Hiding in Mimicry Attacks
In this paper, we aim to determine the significance of different stages of an attack, namely the preamble and the exploit, on an achieved anomaly rate. To this end, we analyze fou...
Hilmi Günes Kayacik, A. Nur Zincir-Heywood