DocumentCode :
3067965
Title :
Message Security in Multi-Path Ad Hoc Networks Using a Neural Network-Based Cipher
Author :
Liu, Che-Yu ; Woungang, Isaac ; Chao, Han-Chieh ; Dhurandher, Sanjay K. ; Chi, Ting-Yun ; Obaidat, Mohammad S.
Author_Institution :
Inst. of Comput. Sci. & Inf. Eng., Nat. I-lan Univ., Ilan, Taiwan
fYear :
2011
fDate :
5-9 Dec. 2011
Firstpage :
1
Lastpage :
5
Abstract :
Securing the transfer of data in mobile ad hoc networks (MANETs) is still a challenging issue. This paper proposes a method for providing message security in MANETs when nodes cooperate in routing. Our approach combines a trust-based multipath routing scheme and a real-time recurrent neural network-based (RRNN) cipher (yielding our so-called TR-RRNN scheme) to deal with the issues underlying message confidentiality, integrity, and access control. Simulation experiments using QualNet were conducted, showing that the proposed scheme is much more secured compared to the traditional multi-path routing algorithms and a recently proposed message security scheme for MANETs (our so- called Original Trust-based Multi-path Routing scheme (OTMR)). The route selection time and trust compromise are used as the performance criteria.
Keywords :
cryptography; mobile ad hoc networks; recurrent neural nets; telecommunication computing; telecommunication network routing; telecommunication security; MANET; QualNet simulation; TR-RRNN scheme; access control; data transfer security; message security scheme; mobile ad hoc networks; multipath ad hoc networks; real-time recurrent neural network-based cipher; route selection time; trust-based multipath routing scheme; Ad hoc networks; Encryption; Mobile computing; Peer to peer computing; Routing; Routing protocols;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
Conference_Location :
Houston, TX, USA
ISSN :
1930-529X
Print_ISBN :
978-1-4244-9266-4
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2011.6133519
Filename :
6133519
Link To Document :
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