TITLE:
SAC-TA: A Secure Area Based Clustering for Data Aggregation Using Traffic Analysis in WSN
AUTHORS:
Mohanbabu Gopalakrishnan, Gopi Saminathan Arumugam, Karthigai Lakshmi, Shanmuga Vel
KEYWORDS:
Data Aggregation, False Data Injection Attacks, Malicious Nodes, One-Time Key Generation, Secure One-Time (SOT) Key and Wireless Sensor Networks (WSNs)
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.8,
June
9,
2016
ABSTRACT: Clustering is the most
significant task characterized in Wireless Sensor Networks (WSN) by data
aggregation through each Cluster Head (CH). This leads to the reduction in the
traffic cost. Due to the deployment of the WSN in the remote and hostile
environments for the transmission of the sensitive information, the sensor
nodes are more prone to the false data injection attacks. To overcome these
existing issues and enhance the network security, this paper proposes a Secure
Area based Clustering approach for data aggregation using Traffic Analysis
(SAC-TA) in WSN. Here, the sensor network is clustered into small clusters,
such that each cluster has a CH to manage and gather the information from the
normal sensor nodes. The CH is selected based on the predefined time slot,
cluster center, and highest residual energy. The gathered data are validated
based on the traffic analysis and One-time Key Generation procedures to
identify the malicious nodes on the route. It helps to provide a secure data
gathering process with improved energy efficiency. The performance of the
proposed approach is compared with the existing Secure Data Aggregation
Technique (SDAT). The proposed SAC-TA yields lower average energy consumption
rate, lower end-to-end delay, higher average residual energy, higher data
aggregation accuracy and false data detection rate than the existing technique.