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» Intrusion Detection Based on Data Mining
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ANCS
2007
ACM
15 years 3 months ago
Curing regular expressions matching algorithms from insomnia, amnesia, and acalculia
The importance of network security has grown tremendously and a collection of devices have been introduced, which can improve the security of a network. Network intrusion detectio...
Sailesh Kumar, Balakrishnan Chandrasekaran, Jonath...
JCDL
2009
ACM
127views Education» more  JCDL 2009»
15 years 6 months ago
Finding topic trends in digital libraries
We propose a generative model based on latent Dirichlet allocation for mining distinct topics in document collections by integrating the temporal ordering of documents into the ge...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...
WWW
2011
ACM
14 years 6 months ago
Truthy: mapping the spread of astroturf in microblog streams
Online social media are complementing and in some cases replacing person-to-person social interaction and redefining the diffusion of information. In particular, microblogs have ...
Jacob Ratkiewicz, Michael Conover, Mark Meiss, Bru...
ISMIS
2005
Springer
15 years 5 months ago
Learning the Daily Model of Network Traffic
Abstract. Anomaly detection is based on profiles that represent normal behaviour of users, hosts or networks and detects attacks as significant deviations from these profiles. In t...
Costantina Caruso, Donato Malerba, Davide Papagni
IJMMS
2007
166views more  IJMMS 2007»
14 years 11 months ago
Visualization of large networks with min-cut plots, A-plots and R-MAT
What does a ‘normal’ computer (or social) network look like? How can we spot ‘abnormal’ sub-networks in the Internet, or web graph? The answer to such questions is vital f...
Deepayan Chakrabarti, Christos Faloutsos, Yiping Z...