Support Vector Based Regression Model to Detect Sybil Attacks in WSN
Vijaya Saraswathi R · International Journal of Advanced Trends in Computer Science and Engineering · 2020
A Wireless Sensor Network (WSN) is a wireless network that includes minute sensor nodes.Sensors monitor physical and environmental conditions.WSNs are well used in military and civilian applications.Also, WSNs being deployed in an unattended area, may get inclined to different types of attacks,leading to harmful effects for the nodes.Sybil attack is one such type of a node that claims illegitimately multiple identities.Legitimate node shares data to the malicious node leading to loss of data.Hence, the proposed work attempts to secure the network with the use of Machine Learning Techniques.The proposed methodology results in a quantitative based machine learning Sybil attack detection methodology to analyze the performance of nodes .