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» Network Intrusion Detection Using Genetic Clustering
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PDP
2007
IEEE
14 years 3 months ago
Parallel Detection of Targets in Hyperspectral Images Using Heterogeneous Networks of Workstations
Heterogeneous networks of workstations have rapidly become a cost-effective computing solution in many application areas. This paper develops several highly innovative parallel al...
Antonio Plaza, David Valencia, Soraya Blazquez, Ja...
ASUNAM
2010
IEEE
13 years 7 months ago
A Multiobjective and Evolutionary Clustering Method for Dynamic Networks
—The discovery of evolving communities in dynamic networks is an important research topic that poses challenging tasks. Previous evolutionary based clustering methods try to maxi...
Francesco Folino, Clara Pizzuti
IMC
2004
ACM
14 years 2 months ago
On scalable attack detection in the network
Current intrusion detection and prevention systems seek to detect a wide class of network intrusions (e.g., DoS attacks, worms, port scans) at network vantage points. Unfortunatel...
Ramana Rao Kompella, Sumeet Singh, George Varghese
SIMULATION
2010
178views more  SIMULATION 2010»
13 years 3 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...
RAID
1999
Springer
14 years 1 months ago
IDS Standards: Lessons Learned to Date
: I will discuss two efforts to get Intrusion Detection Systems to work together - the Common Intrusion Detection Framework (CIDF), and the IETF's working group to develop an ...
Stuart Staniford-Chen