Neeraj Chugh, Adarsh Kumar and Alok Aggarwal
School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India
ABSTRACT
Radio Frequency IDentification (RFID) and Wireless Sensor Networks (WSN) are the two most prominent
wireless technologies for implementing a complete smart environment for the Internet of Things (IoT). Both
RFID and WSN are resource constraint devices, which forces us to go for lightweight cryptography for
security purposes. Security in terms of confidentiality, integrity, authentication, authorization, and
availability. Key management is one of the major constraints for resource constraint mobile sensor devices.
This work is an extension of the work done by Kumar et al. using efficient error prediction and limit of
agreement for anomaly score. This work ensures cryptographic property, availability, in RFID-WSN
integrated network through outlier detection mechanism for 50 to 5000 nodes network. Through detection
ratios and anomaly scores system is tested against outliers. The proposed outlier detection mechanism
identifies the inliers and outliers through anomaly score for protection against Denial-of-Service (DoS)
attack. Intruders can be detected in few milliseconds without giving any conflict to the access rights. In terms
of throughput, a minimum improvement of 6.2% and a maximum of 219.9% is observed for the proposed
protocol as compared to Kumar et al. Protocol and in terms of percentage of Packet Delivery Ratio (PDR), a
minimum improvement of 8.9% and a maximum of 19.5% is observed for the proposed protocol as compared
to Kumar et al. protocol.
KEYWORDS
WSN, MANET, RFID, ANOMALY, SECURITY
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