ISBN: 978-981-11-0008-6 DOI: 10.18178/wcse.2016.06.027
Context Aware Architecture Based WSN Security for Detecting Compromised Nodes in Probabilistic Voting-Based Filtering
Abstract— Wireless sensor networks are vulnerable to various type of attacks, such as false positive and
negative attacks, due to energy and hardware constraints. It enable adversaries to easily compromise the
sensor nodes and variously capture keys to generate the two attacks A probabilistic voting-based filtering
scheme counters these attacks, which are generated by the compromised nodes, through the verification of
message authentication codes in reports. Even though this scheme can successfully detect such attacks using
en-route filtering technology, it cannot detect the compromised nodes due to data fabrication. In this paper,
we propose a scheme using a context aware architecture (CAA) to successfully detect compromised nodes in
addition to the above attack types. To detect the compromised nodes, the CAA analyzes real world context
data and security knowledge. Experimental results indicate that all of the compromised nodes can be detected
with high accuracy at the cost of consuming more energy by using the proposed communication architecture.
Index Terms— wireless sensor networks, network security, probabilistic voting-based filtering scheme, context aware architecture.
Su Man Nam, Tae Ho Cho
College of Information and Communication Engineering, Sungkyunkwan University, KOREA
Cite: Su Man Nam, Tae Ho Cho, "Context Aware Architecture Based WSN Security for Detecting Compromised Nodes in Probabilistic Voting-Based Filtering," Proceedings of 2016 6th International Workshop on Computer Science and Engineering, pp. 161-166, Tokyo, 17-19 June, 2016.