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» Network Intrusion Detection Using FP Tree Rules
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JMLR
2010
185views more  JMLR 2010»
13 years 12 days ago
HMMPayl: an application of HMM to the analysis of the HTTP Payload
Zero-days attacks are one of the most dangerous threats against computer networks. These, by definition, are attacks never seen before. Thus, defense tools based on a database of ...
Davide Ariu, Giorgio Giacinto
JMLR
2008
148views more  JMLR 2008»
13 years 5 months ago
Linear-Time Computation of Similarity Measures for Sequential Data
Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...
Konrad Rieck, Pavel Laskov
ESANN
2004
13 years 7 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
INFOCOM
2009
IEEE
14 years 8 days ago
Adaptive Early Packet Filtering for Defending Firewalls Against DoS Attacks
—A major threat to data networks is based on the fact that some traffic can be expensive to classify and filter as it will undergo a longer than average list of filtering rule...
Adel El-Atawy, Ehab Al-Shaer, Tung Tran, Raouf Bou...
CEAS
2008
Springer
13 years 7 months ago
A Campaign-based Characterization of Spamming Strategies
This paper presents a methodology for the characterization of spamming strategies based on the identification of spam campaigns. To deeply understand how spammers abuse network re...
Pedro Calais, Douglas Pires, Dorgival Olavo Guedes...