Abstract
Robust encryption techniques require heavy computational capability and consume large amount of memory which are unaffordable for resource constrained IoT devices and Cyber-Physical Systems with an inclusion of general-purpose data manipulation tasks. Many encryption techniques have been introduced to address the inability of such devices, lacking in robust security provision at low cost. This article presents an encryption technique, implemented on a resource constrained IoT device (AVR ATmega2560) through utilizing fast execution and less memory consumption properties of curve25519 in a novel and efficient lightweight hash function. The hash function utilizes GMP library for multi-precision arithmetic calculations and pre-calculated curve points to devise a good cipher block using ECDH based key exchange protocols and large random prime number generator function.
Highlights
Useful tiny autonomous IoT machines that work endlessly, are used in our daily lives such as smart refrigerator, smart air-condition, smart TV, smart health devices and smart parking
Experimental results This section represents analysis of results taken from implementation of the proposed technique on an IoT resource constrained device
The technique is evaluated in terms of avalanche effect and memory consumption with existing similar encryption techniques
Summary
Useful tiny autonomous IoT machines that work endlessly, are used in our daily lives such as smart refrigerator, smart air-condition, smart TV, smart health devices and smart parking. The proposed elliptic curve cryptography (ECC) based end-to-end encryption method enables computational and memory exhaustive IoT devices to communicate securely with
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