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» Intrusion Detection: A Bioinformatics Approach
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EUROSEC
2010
ACM
14 years 5 months ago
Improving the accuracy of network intrusion detection systems under load using selective packet discarding
Under conditions of heavy traffic load or sudden traffic bursts, the peak processing throughput of network intrusion detection systems (NIDS) may not be sufficient for inspecting ...
Antonis Papadogiannakis, Michalis Polychronakis, E...
CORR
2010
Springer
160views Education» more  CORR 2010»
13 years 11 months ago
A Semi-distributed Reputation Based Intrusion Detection System for Mobile Adhoc Networks
Abstract: A Mobile Adhoc Network (manet) is a cooperative engagement of a collection of mobile nodes without any centralized access point. The underlying concept of coordination am...
Animesh Kr Trivedi, Rajan Arora, Rishi Kapoor, Sud...
HPCC
2007
Springer
14 years 5 months ago
Dynamic System-Wide Reconfiguration of Grid Deployments in Response to Intrusion Detections
As Grids become increasingly relied upon as critical infrastructure, it is imperative to ensure the highly-available and secure day-to-day operation of the Grid infrastructure. The...
Jonathan C. Rowanhill, Glenn S. Wasson, Zach Hill,...
ASPLOS
2010
ACM
14 years 5 months ago
Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
Malak Alshawabkeh, Byunghyun Jang, David R. Kaeli
ICSM
2007
IEEE
14 years 5 months ago
A Maintainable Software Architecture for Fast and Modular Bioinformatics Sequence Search
Bioinformaticists use the Basic Local Alignment Search Tool (BLAST) to characterize an unknown sequence by comparing it against a database of known sequences, thus detecting evolu...
Jeremy S. Archuleta, Eli Tilevich, Wu-chun Feng