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» Intrusion Detection: Systems and Models
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SIMULATION
2010
178views more  SIMULATION 2010»
15 years 1 months ago
Application-level Simulation for Network Security
We introduce and describe a novel network simulation tool called NeSSi (Network Security Simulator). NeSSi incorporates a variety of features relevant to network security distingu...
Stephan Schmidt, Rainer Bye, Joël Chinnow, Ka...
CONEXT
2007
ACM
15 years 8 months ago
Detecting worm variants using machine learning
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...
Oliver Sharma, Mark Girolami, Joseph S. Sventek
IJNSEC
2008
115views more  IJNSEC 2008»
15 years 6 months ago
Improving Security Through Analysis of Log Files Intersections
The paper discusses our research in development of general and systematic methods for intrusion prevention. The key idea is to use data mining techniques to discover repeated patt...
Kazimierz Kowalski, Mohsen Beheshti
DIM
2009
ACM
15 years 11 months ago
Using identity credential usage logs to detect anomalous service accesses
For e-commerce companies providing online services, fraudulent access resulting from theft of identity credentials is a serious concern. Such online service providers deploy a var...
Daisuke Mashima, Mustaque Ahamad
AINA
2009
IEEE
16 years 1 months ago
Similarity Search over DNS Query Streams for Email Worm Detection
Email worms continue to be a persistent problem, indicating that current approaches against this class of selfpropagating malicious code yield rather meagre results. Additionally,...
Nikolaos Chatzis, Nevil Brownlee