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BIBE
2007
IEEE
162views Bioinformatics» more  BIBE 2007»
14 years 2 months ago
An Investigation into the Feasibility of Detecting Microscopic Disease Using Machine Learning
— The prognosis for many cancers could be improved dramatically if they could be detected while still at the microscopic disease stage. We are investigating the possibility of de...
Mary Qu Yang, Jack Y. Yang
CCS
2011
ACM
12 years 8 months ago
MIDeA: a multi-parallel intrusion detection architecture
Network intrusion detection systems are faced with the challenge of identifying diverse attacks, in extremely high speed networks. For this reason, they must operate at multi-Giga...
Giorgos Vasiliadis, Michalis Polychronakis, Sotiri...
DSN
2007
IEEE
14 years 2 months ago
A Firewall for Routers: Protecting against Routing Misbehavior
In this work, we present the novel idea of route normalization by correcting on the fly routing traffic on behalf of a local router to protect the local network from malicious a...
Ying Zhang, Zhuoqing Morley Mao, Jia Wang
ICRA
2005
IEEE
134views Robotics» more  ICRA 2005»
14 years 1 months ago
Robust Object Detection at Regions of Interest with an Application in Ball Recognition
— In this paper, we present a new combination of a biologically inspired attention system (VOCUS – Visual Object detection with a CompUtational attention System) with a robust ...
Sara Mitri, Simone Frintrop, Kai Pervölz, Har...
ACSAC
2003
IEEE
13 years 12 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...