Abstract
Security is one of the major challenges in the design and implementation of protocols for mobile ad hoc networks (MANETs). ‘Cooperation for corporate well-being’ is one of the major principles being followed in current research to formulate various security protocols. In such systems, nodes establish trust-based interactions based on their reputation which is determined by node activities in the past. In this paper we propose the use of a Radial Basis Function-Neural Network (RBF-NN) to estimate the reputation of nodes based on their internal attributes as opposed to their observed activity, e.g., packet traffic. This technique is conducive to prediction of the reputation of a node before it portrays any activities, for example, malicious activities that could be potentially predicted before they actually begin. This renders the technique favorable for application in trust-based MANET defense systems to enhance their performance. In this work we were able to achieve an average prediction performance of approximately 91% using an RBF-NN to predict the reputation of the nodes in the MANET.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Abdelhafez, M., Riley, G., Cole, R.G., Phamado, N.: Modeling and Simulations of TCP MANET Worms. In: 21st International Workshop on Principles of Advanced and Distributed Simulation (PADS 2007), pp. 123–130 (2007)
TPOC: Ghosh, A.K.: Defense Against Cyber Attacks on Mobile ad hoc Network Systems (MANETs). In: BAA04-18 Proposer Information Pamphlet (PIP), Defense Advanced Research Projects Agency (DARPA) Advanced Technology Office (ATO) (April 2004)
Ham, F.M., Kostanic, I.: Principles of Neurocomputing for Science and Engineering. McGraw-Hill, New York (2001)
Gordon, S., Howard, F.: Antivirus Software Testing for the new Millennium. In: 23rd National Information Systems security Conference (2000)
Marti, S., Giuli, T., Lai, K., Baker, M.: Mitigating routing Misbehavior in Mobile Ad Hoc Networks. In: Proceedings of the Sixth International Conference on Mobile Computeing and Networking, pp. 255–265 (August 2000)
Buchegger, S., Le Boudec, J.Y.: Nodes Bearing Grudges: Towards Routing Security, Fairness, and Robustness in Mobile ad hoc Networks. In: 10th Euromicro Workshop and Parallel, Distributed and Network-Based Processing, pp. 403–410 (2002)
Buchegger, S., Le Boudec, J.Y.: Performance Analysis of the CONFIDANT Protocol: Cooperation of Nodes–Fairness in Dynamic ad-hoc Networks. In: Proceeding of IEEE/ACM Workshop on Mobile Ad Hoc Networking and Computing, pp. 226–236 (June 2002)
Liu, Y., Yang, T.R.: Reputation Propagation and Agreement in Mobile Ad-Hoc Networks. IEEE Wireless Communication and Networking 3, 1510–1515 (2003)
Zheng, Z., Yi, L., Jian, L., Chang-xiang, S.: A New Computer Self-immune Model against Malicious Codes. In: First International Symposium on Data, Privacy and E-Commerce, pp. 456–458 (2007)
Samian, N., Maarof, M.A., Abd Razac, S.: Towards Identifying Features of Trust in Mobile Ad Hoc Networks. In: Second Asia International Conference on Modeling & Simulation, pp. 271–276 (2008)
McDonough, R.N., Whalen, A.D.: Detection of Signals in Noise, 2nd edn. Academic Press, New York (1995)
Balakrishnan, V., Varadharajan, V., Tupakula, U., Lucs, P.: TEAM: Trust Enhanced Security Architecture of Mobile Ad-hoc Networks. In: 15th IEEE International Conference on Networks, pp. 182–187 (2007)
Stopel, D., Boger, Z., Moskovitch, R., Shahar, Y., Elovici, Y.: Application of Artificial Neural Networks Techniques to Computer Worm Detection. In: International Joint Conference on Neural Networks, pp. 2362–2369 (2006)
Deng, H., Li, W., Agrawal, D.P.: Routing Security in Wireless Ad Hoc Networks. IEEE Communications Magazine, 70–75 (October 2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ham, F.M., Imana, E.Y., Ondi, A., Ford, R., Allen, W., Reedy, M. (2009). Reputation Prediction in Mobile Ad Hoc Networks Using RBF Neural Networks. In: Palmer-Brown, D., Draganova, C., Pimenidis, E., Mouratidis, H. (eds) Engineering Applications of Neural Networks. EANN 2009. Communications in Computer and Information Science, vol 43. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03969-0_46
Download citation
DOI: https://doi.org/10.1007/978-3-642-03969-0_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03968-3
Online ISBN: 978-3-642-03969-0
eBook Packages: Computer ScienceComputer Science (R0)