Internet of Things (IoT) devices characterized by low power and low processing capabilities do not exactly fit into the provision of existing security techniques, due to their constrained nature. Classical security algorithms which are built on complex cryptographic functions often require a level of processing that low power IoT devices are incapable to effectively achieve due to limited power and processing resources. Consequently, the option for constrained IoT devices lies in either developing new security schemes or modifying existing ones to be more suitable for constrained IoT devices. In this work, an Efficient security Algorithm for Constrained IoT devices; based on the Advanced Encryption Standard is proposed. We present a cryptanalytic overview of the consequence of complexity reduction together with a supporting mathematical justification, and provisioned a secure element (ATECC608A) as a trade-off. The ATECC608A doubles for authentication and guarding against implementation attacks on the associated IoT device (ARM Cortex M4 microprocessor) in line with our analysis. The software implementation of the efficient algorithm for constrained IoT devices shows up to 35% reduction in the time it takes to complete the encryption of a single block (16bytes) of plain text, in comparison to the currently used standard AES-128 algorithm, and in comparison to current results in literature at 26.6%
ConclusionSecurity and ease of provisioning of IoT devices onto cloud infrastructure is instrumental to the deployment of IoT devices. With not much information available on the ease of secure provisioning of IoT devices couple with inherent challenge of these devices in encrypting data before transmission to the cloud due to their constrained nature, this work implements a low-cost client-side encryption algorithm based on the AES to carry out data encryption at the IoT device’s communication end using a SAMG55 microprocessor, following which the device is securely provisioned to a cloud platform as shown in Fig. 3. Related work and direction for future work is further detailed in Online Resources 1 and Online Resources 2.
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