Issue |
ITM Web Conf.
Volume 7, 2016
3rd Annual International Conference on Information Technology and Applications (ITA 2016)
|
|
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Article Number | 03008 | |
Number of page(s) | 6 | |
Section | Session 3: Security | |
DOI | https://doi.org/10.1051/itmconf/20160703008 | |
Published online | 21 November 2016 |
SecMAS: Security Enhanced Monitoring and Analysis Systems for Wireless Sensor Networks
1 College of Computer, Nanjing University of Posts and Telecommunications, 210003 Nanjing, China
2 College of Internet of Things, Nanjing University of Posts and Telecommunications, 210003 Nanjing, China
3 College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, 210003 Nanjing, China
a Corresponding author: wum@njupt.edu.cn
The monitoring, control, and security guarantee for the communication in the wireless sensor networks (WSNs) are currently treated as three independent issues and addressed separately through specialized tools. However, most cases of WSNs applications requires the network administrator change the network configuration in a very short time to response to the change of observed phenomenon with security guarantee. To meet this requirement, we propose a security enhanced monitoring and control platform named SecMAS for WSNs, which provides the real-time visualization about network states and online reconfiguration of the network properties and behaviours in a resource-efficient way. Besides, basic cryptographic primitives and part of the anomaly detection functionalities are implemented in SecMAS to enabling the secure communication in WSNs. Furthermore, we conduct experiments to evaluate the performance of SecMAS in terms of the latency, throughput, communication overhead, and the security capacity. The experimental results demonstrate that the SecMAS system achieves stable, efficient and secure data collection with lightweight quick-response network control.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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