Abstract
Objectives: To propose a design of an early flood warning system based on IOT with a strong emphasis on the security requirements of such systems. Methods/Analysis: The design of an early flood warning system is based on measuring the hydrological parameters of a river, which include water level and discharge through an IOT based network. To calculate the discharge of water in a river, Manning\'s equation has been employed. Security protocols based on elliptical curve cryptography has been proposed for authenticating the real-time hydrological data. The proposed security protocols have been formally validated and verified against various active and passive attacks using AVISPA and Scyther. Simulation of the proposed scheme has also been carried out on the TOSSIM simulator using the TinyECC library to estimate the radio and CPU energy overheads. Findings: The formal security validation of the proposed authentication scheme indicates that the scheme is SAFE against various active and passive attacks. The simulation on Scyther indicates that no attacks have been found in proposed authentication protocols. The AVISPA validation also declares the scheme as SAFE as all-important security goals have been achieved. The Energy analyses on TOSSIM indicate that each node in the scheme requires 133 mJ for radio transmission and 59 mJ for CPU operations about the Mica2 Energy Model. Novelty/Improvement: Researchers have proposed many designs and schemes for early flood warnings without giving much emphasis to the security of such systems. The paper focuses on the security requirements of such systems. Keywords: IoT; flood warning; authentication; ECC; AVISPA; Scyther; TinyOS; TinyECC; TOSSIM
Highlights
Scientists across the world are constantly developing technologies to monitor the flowing rivers to avert the destruction caused by it
This study proposed a secure flood warning system designed in an Internet of Things (IoT) environment
The paper focuses on elliptical curve cryptography to provide algorithms for data authentication
Summary
Scientists across the world are constantly developing technologies to monitor the flowing rivers to avert the destruction caused by it. The traditional approach for monitoring hydrological is primarily based on spot and grab techniques. Standardized techniques for the measurement and analysis of hydrological data, primarily through means of modern communication technology, are essential for understanding and predicting the magnitude and frequency of floods, the change in the course of the river, and the water quality parameters of a river etc [1]. Internet of Things (IoT) and Wireless Sensor Networks (WSN) presents a promising solution for developing new flood warnings systems. The design of such systems primarily involves interfacing of hydrological sensors with data acquisition boards fitted with the Mote [3]. The scheme has been simulated on the TOSSIM simulator, and a relevant discussion based on the performance of the proposed security scheme is presented
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