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» On scalable attack detection in the network
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CN
2004
108views more  CN 2004»
14 years 11 months ago
Smart dust, friend or foe?--Replacing identity with configuration trust
Smart dust motes are miniature self-contained systems that may be deployed in very large numbers. In military applications these devices are subject to different threats than conv...
Howard Chivers, John A. Clark
CCS
2009
ACM
15 years 6 months ago
A framework for quantitative security analysis of machine learning
We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...
Pavel Laskov, Marius Kloft
CCS
2008
ACM
15 years 1 months ago
Asynchronous policy evaluation and enforcement
Evaluating and enforcing policies in large-scale networks is one of the most challenging and significant problems facing the network security community today. Current solutions ar...
Matthew Burnside, Angelos D. Keromytis
DIMVA
2007
15 years 1 months ago
Characterizing Dark DNS Behavior
Security researchers and network operators increasingly rely on information gathered from honeypots and sensors deployed on darknets, or unused address space, for attack detection....
Jon Oberheide, Manish Karir, Zhuoqing Morley Mao
EUROSYS
2008
ACM
15 years 9 months ago
Eudaemon: involuntary and on-demand emulation against zero-day exploits
Eudaemon is a technique that aims to blur the borders between protected and unprotected applications, and brings together honeypot technology and end-user intrusion detection and ...
Georgios Portokalidis, Herbert Bos