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ACSAC
2003
IEEE
14 years 1 months ago
Bayesian Event Classification for Intrusion Detection
Intrusion detection systems (IDSs) attempt to identify attacks by comparing collected data to predefined signatures known to be malicious (misuse-based IDSs) or to a model of lega...
Christopher Krügel, Darren Mutz, William K. R...
ASPLOS
2010
ACM
14 years 22 days ago
Decoupling contention management from scheduling
Many parallel applications exhibit unpredictable communication between threads, leading to contention for shared objects. The choice of contention management strategy impacts stro...
Ryan Johnson, Radu Stoica, Anastasia Ailamaki, Tod...
FAST
2008
14 years 19 days ago
SWEEPER: An Efficient Disaster Recovery Point Identification Mechanism
Data corruption is one of the key problems that is on top of the radar screen of most CIOs. Continuous Data Protection (CDP) technologies help enterprises deal with data corruptio...
Akshat Verma, Kaladhar Voruganti, Ramani Routray, ...
BCS
2008
13 years 11 months ago
Overcoming Software Fragility with Interacting Feedback Loops and Reversible Phase Transitions
Programs are fragile for many reasons, including software errors, partial failures, and network problems. One way to make software more robust is to design it from the start as a ...
Peter Van Roy
ESANN
2007
13 years 11 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
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