Abstract

Lightweight cryptography aims to address the security demands in resource-constrained hardware and software environments, such as the Internet of Things (IoT). These constraints severely limit solutions offered by conventional cryptographic primitives, which turn too expensive to achieve. In this paper, a lightweight pseudorandom number generator that fits the IoT demands is presented. It has a good performance on Atmel 8-bit AVR and Intel Curie 32-bit microcontrollers. The analysis of the hardware complexity in terms of gate equivalent confirms that it is suitable for the IoT.

Highlights

  • The Internet of Things (IoT) paradigm is based on the interconnections among ubiquitous and highly heterogeneous networked ‘‘things’’ such as sensors, actuators, smartphones, etc., whose pervasive use can be attributed to the advanced developments in communications, sensor technologies and networking capabilities, mobile devices, cloud computing, etc

  • The chosen design is based on microcontrollers due to the evident advantages for IoT applications such as reduced cost and size, high flexibility and, what is most important, that this design does not constrain the system to an specific board in the future

  • A lightweight, fast, and cryptographically secure pseudorandom number generator useful for resource-constrained devices like those used in the IoT has been described

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Summary

INTRODUCTION

The Internet of Things (IoT) paradigm is based on the interconnections among ubiquitous and highly heterogeneous networked ‘‘things’’ such as sensors, actuators, smartphones, etc., whose pervasive use can be attributed to the advanced developments in communications, sensor technologies and networking capabilities, mobile devices, cloud computing, etc. The hardware complexity is determined by the number of logic gates required to implement the pseudorandom number generators (PRNGs). It is measured by means of the ‘‘gate equivalent’’ (GE). True Random and Pseudorandom Number Generators (TRNG and PRNG, respectively) are two of the most important building blocks of cryptosystems. They are used to generate confidential keys, challenges, and nonces. In the constrained devices of the IoT applications, cryptographically secure PRNGs are difficult to attain due to hardware/software limitations.

RELATED WORK
LINEAR COMPLEXITY OF ARROW
IMPLEMENTATION AND RESULTS
CONCLUSION
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