Marimuthu Palaniswami

Work place: Department of Electrical and Electronic Engineering The University of Melbourne Melbourne, Australia

E-mail: palani@unimelb.edu.au

Website:

Research Interests: Computational Learning Theory, Neural Networks, Pattern Recognition, Network Architecture

Biography

Prof. Marimuthu Palaniswami received his ME from the Indian Institute of science, India, MEngSc from the University of Melbourne and Ph.D from the University of Newcastle, Australia before rejoining the University of Melbourne. He served as a co-director of an active research centre, the Centre of Expertise on Networked Decision & Sensor Systems (2002- 2005). Presently, he is running the largest funded ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) programme. He has published more than 370 refereed papers and a huge proportion of them appeared in prestigious IEEE Journals and Conferences. He was the associate editor of Journals/transactions including IEEE Transaction on Neural Networks. His research interests include SVMs, Sensors and Sensor Networks, Machine Learning, Neural Network, Pattern Recognition, Signal Processing and Control. He is the co-director of an active research centre,  Centre of Expertise on Networked Decision & Sensor Systems, attracting grants from industry and defence agencies in Australia and USA.

Author Articles
Efficient Homomorphic Hashing Approach for Secure Reprogramming in Wireless Sensor Networks

By Yu Zhang Xing She Zhou Yee Wei Law Marimuthu Palaniswami

DOI: https://doi.org/10.5815/ijwmt.2012.01.01, Pub. Date: 15 Feb. 2012

While existing solutions can provide authentication services, they are insufficient for a new generation of network coding-based reprogramming protocols in wireless sensor networks. We present a security approach that is able to defend pollution attack against reprogramming protocols based on network coding. It employs a homomorphic hashing function and an identity-based aggregate signature to allow sensor nodes to check packets on-the-fly before they accept incoming encoded packets, and introduces an efficient mechanism to reduce the computation overhead at each node and to eliminate bad packets quickly. Castalia simulations show that when the 5% of the nodes in a network of 100 nodes are rogue, using our approach, the efficiency of the secure reprogramming protocol based on network coding improves almost ten-fold for a checking probability of 2%.

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A Secure Method for Network Coding-based Reprogramming Protocols in Wireless Sensor Networks

By Yu Zhang Xing She Zhou Yee Wei Law Marimuthu Palaniswami

DOI: https://doi.org/10.5815/ijcnis.2011.02.05, Pub. Date: 8 Mar. 2011

Reprogramming protocols provide a convenient way to update program images via wireless communication.
In hostile environments where there may be malicious attacks against wireless sensor networks, the process of reprogramming faces threats from potentially compromised nodes. While existing solutions can provide authentication services, they are insufficient for a new generation of network coding-based reprogramming protocols in wireless sensor networks. We present a security approach that is able to defend pollution attack against reprogramming protocols based on network coding. It employs a homomorphic hashing function and an identity-based aggregate signature to allow sensor nodes to check packets on-the-fly before they accept incoming encoded packets, and introduces an efficient mechanism to reduce the computation overhead at each node and to eliminate bad packets quickly. Castalia simulations show that when the 5% of the nodes in a network of 100 nodes are rogue, using our approach, the efficiency of the secure reprogramming protocol based on network coding improves almost ten-fold for a checking probability of 2%.

[...] Read more.
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