Model
Digital Document
Publisher
Florida Atlantic University
Description
Cryptographic algorithms are being developed and incorporated into network security protocols to provide secure communication over vulnerable mediums like the Internet. These protocols utilize secret and public key mechanisms to carry out data integrity, confidentiality, authentication, and non-repudiation.
The urge to deploy cryptosystems on low-end devices, based on the constantly growing Internet of Things (IoT) world, requires optimal design and implementation of cryptographic algorithms and protocols to achieve small communicational and computational cost, while preserving the privacy of the transmitted data. Scenarios of low bandwidth, constrained memory, and limited processing power are common when targeting embedded devices; however, security requirements are still present due to the sensitive information that may be communicated. In this thesis, we address the need for optimal cryptographic primitives implementation design in terms of computing capabilities, energy and power consumption, and memory usage to accommodate the deployment of cryptographical systems on resource-constrained devices.
The urge to deploy cryptosystems on low-end devices, based on the constantly growing Internet of Things (IoT) world, requires optimal design and implementation of cryptographic algorithms and protocols to achieve small communicational and computational cost, while preserving the privacy of the transmitted data. Scenarios of low bandwidth, constrained memory, and limited processing power are common when targeting embedded devices; however, security requirements are still present due to the sensitive information that may be communicated. In this thesis, we address the need for optimal cryptographic primitives implementation design in terms of computing capabilities, energy and power consumption, and memory usage to accommodate the deployment of cryptographical systems on resource-constrained devices.
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