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» An Application of Information Theory to Intrusion Detection
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CCS
2006
ACM
13 years 11 months ago
Can machine learning be secure?
Machine learning systems offer unparalled flexibility in dealing with evolving input in a variety of applications, such as intrusion detection systems and spam e-mail filtering. H...
Marco Barreno, Blaine Nelson, Russell Sears, Antho...
ITRUST
2005
Springer
14 years 1 months ago
Risk Models for Trust-Based Access Control(TBAC)
The importance of risk in trust-based systems is well established. This paper presents a novel model of risk and decision-making based on economic theory. Use of the model is illus...
Nathan Dimmock, Jean Bacon, David Ingram, Ken Mood...
JMLR
2010
185views more  JMLR 2010»
13 years 2 months ago
HMMPayl: an application of HMM to the analysis of the HTTP Payload
Zero-days attacks are one of the most dangerous threats against computer networks. These, by definition, are attacks never seen before. Thus, defense tools based on a database of ...
Davide Ariu, Giorgio Giacinto
CNSR
2008
IEEE
189views Communications» more  CNSR 2008»
14 years 2 months ago
Secure Health Monitoring Network against Denial-Of-Service Attacks Using Cognitive Intelligence
Secure and energy efficient transmission is a main concern in many wireless sensor network applications. In this paper, two types of denial-of-service attacks that affect the rout...
Rajani Muraleedharan, Lisa Ann Osadciw
JPDC
2006
129views more  JPDC 2006»
13 years 7 months ago
LAD: Localization anomaly detection for wireless sensor networks
In wireless sensor networks (WSNs), sensors' locations play a critical role in many applications. Having a GPS receiver on every sensor node is costly. In the past, a number ...
Wenliang Du, Lei Fang, Peng Ning