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ICDM
2008
IEEE
126views Data Mining» more  ICDM 2008»
14 years 2 months ago
Detecting Suspicious Behavior in Surveillance Images
We introduce a novel technique to detect anomalies in images. The notion of normalcy is given by a baseline of images, under the assumption that the majority of such images is nor...
Daniel Barbará, Carlotta Domeniconi, Zoran ...
CCGRID
2006
IEEE
14 years 1 months ago
INTCTD: A Peer-to-Peer Approach for Intrusion Detection
In this paper we propose a peer-to-peer (P2P) prototype (INTCTD) for intrusion detection over an overlay network. INTCTD is a distributed system based on neural networks for detec...
Catalin Dumitrescu
CORR
2010
Springer
136views Education» more  CORR 2010»
13 years 6 months ago
NgViz: Detecting DNS Tunnels through N-Gram Visualization and Quantitative Analysis
This paper introduced NgViz, a tool that examines DNS traffic and shows anomalies in n-gram frequencies. This is accomplished by comparing input files against a fingerprint of leg...
Kenton Born, David Gustafson
CIS
2007
Springer
14 years 2 months ago
A Context-Based Analysis of Intrusion Detection for Policy Violation
Existing intrusion detection systems (IDS) operate independently from security policy enforcement mechanism. In current IDS the functionality has been restricted to detecting only...
Kaiyu Wan, Vasu S. Alagar, Zongyuan Yang
FLAIRS
2010
13 years 10 months ago
Using a Graph-Based Approach for Discovering Cybercrime
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, Jeffrey Graves