NDLI: Identity Theft Detection Based on Neural Network Non-Linearity Identification in OFDM System

Content Provider	IEEE Xplore Digital Library
Author	Meucci, F. Pierucci, L. Prasad, N.
Copyright Year	2011
Abstract	Confidentiality of the communication is extremely important in wireless networks due to the broadcast nature of the radio channel. The secrecy of the communication can be achieved via secure PHY layers or by using crypto techniques which need a pre-shared secret between the sender and the legal receiver. A technique has been proposed in literature to avoid preshared secrets based on the noise-pattern of the radio channel. However, when the channel frequency selectivity is low or the eavesdropper is located near to the victim, the key exchange may fail to achieve security. The eavesdropper can gain access to the secure communication and steal the identity of one of the two communicating nodes. In this paper, a technique for identity theft detection is proposed: the receiving node can detect unintended change of sender's identity. A Feed-Foward Neural Network is used to identify the non-linearities of the OFDM radio transceiver which are unique and characteristic of the transmitting and receiving devices. The simulation results show that the NN correctly detects the non linearities coefficients for pedestrian and high mobility terminals in the presence of severe fading and noise, providing a strong mean for radio signal identification to detect broken security.
Starting Page	1
Ending Page	5
File Size	1645783
Page Count	5
File Format	PDF
ISBN	9781612842325
ISSN	15503607
e-ISBN	9781612842332
e-ISBN	9781612842318
DOI	10.1109/icc.2011.5963091
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-05
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	OFDM Artificial neural networks Peer to peer computing Cryptography Wireless communication Receivers
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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