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» On the Use of Word Networks to Mimicry Attack Detection
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ISMIS
2005
Springer
14 years 2 months ago
Learning the Daily Model of Network Traffic
Abstract. Anomaly detection is based on profiles that represent normal behaviour of users, hosts or networks and detects attacks as significant deviations from these profiles. In t...
Costantina Caruso, Donato Malerba, Davide Papagni
ICAC
2009
IEEE
14 years 3 months ago
Threat-model-driven runtime adaptation and evaluation of intrusion detection system
We present a mechanism for autonomous self-adaptation of a network-based intrusion detection system (IDS). The system is composed of a set of cooperating agents, each of which is ...
Martin Rehák, Eugen Staab, Volker Fusenig, ...
NOMS
2010
IEEE
134views Communications» more  NOMS 2010»
13 years 7 months ago
Packet sampling for worm and botnet detection in TCP connections
—Malware and botnets pose a steady and growing threat to network security. Therefore, packet analysis systems examine network traffic to detect active botnets and spreading worm...
Lothar Braun, Gerhard Münz, Georg Carle
EUROSYS
2008
ACM
14 years 6 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
CN
2004
108views more  CN 2004»
13 years 8 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