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» Anomaly Detection Using Visualization and Machine Learning
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IJNSEC
2007
122views more  IJNSEC 2007»
14 years 9 months ago
Detecting Blackhole Attack on AODV-based Mobile Ad Hoc Networks by Dynamic Learning Method
This paper analyzes the blackhole attack which is one of the possible attacks in ad hoc networks. In a blackhole attack, a malicious node impersonates a destination node by sendin...
Satoshi Kurosawa, Hidehisa Nakayama, Nei Kato, Abb...
HT
2005
ACM
15 years 3 months ago
Information visualization for an intrusion detection system
— Spatial hypertext was developed from studies of how humans deal with information overflow particularly in situations where data needed to be interpreted quickly. Intrusion det...
James Blustein, Ching-Lung Fu, Daniel L. Silver
CSREAESA
2009
14 years 11 months ago
Application of Embedded Systems in Low Earth Orbit for Measurement of Ionospheric Anomalies
: Space is a hazardous environment for both man and machine and to explore such a terrain a rugged, yet easily implementable, platform is needed. Low-cost, low-power embedded syste...
George J. Starr, J. M. Wersinger, Richard Chapman,...
TCSV
2008
139views more  TCSV 2008»
14 years 9 months ago
Trajectory-Based Anomalous Event Detection
Abstract--During the last years, the task of automatic event analysis in video sequences has gained an increasing attention among the research community. The application domains ar...
Claudio Piciarelli, Christian Micheloni, Gian Luca...
IJNSEC
2010
141views more  IJNSEC 2010»
14 years 4 months ago
Protection of an Intrusion Detection Engine with Watermarking in Ad Hoc Networks
In this paper we present an intrusion detection engine comprised of two main elements; firstly, a neural network for the actual detection task and secondly watermarking techniques...
Aikaterini Mitrokotsa, Nikos Komninos, Christos Do...