NDLI: Intrusion detection using software defined noise radar

Content Provider	IEEE Xplore Digital Library
Author	Chinnam, D.M. Madhusudhan, J. Nandhini, C. Prathyusha, S.N. Sowmiya, S. Ramanathan, R. Soman, K.P.
Copyright Year	2010
Description	Author affiliation: Amrita Vishwa Vidyapeetham, Coimbatore, India (Chinnam, D.M.; Madhusudhan, J.; Nandhini, C.; Prathyusha, S.N.; Sowmiya, S.; Ramanathan, R.; Soman, K.P.)
Abstract	The need for reliable systems for detecting intrusions into a given area has given rise to the research and use of random noise radars. This paper deals with the issues regarding the use of such systems. The advantages of the use of such radar are illustrated followed by the actual mode of implementing the system itself. The novelty in this approach is the use a software defined radio as the platform for the system as it has a number of added advantages as have been detailed Subsequently, the intrusion detection can be viewed as a classification problem and solved using any machine learning algorithm. The paper also investigates the use of support vector machines (SVM) for the above said problem and derives a suitable model for classification. The training and testing of SVM model is in progress.
Starting Page	1
Ending Page	6
File Size	224743
Page Count	6
File Format	PDF
ISBN	9781424465910
e-ISBN	9781424465927
DOI	10.1109/ICCCNT.2010.5591742
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-29
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Correlation Software defined radio Noise radar Noise Intrusion detection Receivers Radar Software
Content Type	Text
Resource Type	Article

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