Energy Efficient and Side-Channel Secure Cryptographic Hardware for IoT-Edge Nodes

Singh, Arvind; Chawla, Nikhil; Ko, Jong Hwan; Kar, Monodeep; Mukhopadhyay, Saibal

doi:10.1109/jiot.2018.2861324

Cited by 43 publications

(20 citation statements)

References 23 publications

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“…e advanced encryption standard (AES) and error-correcting codes (ECC) are mainly used as basic lightweight encryption elements. Various studies have been aimed to optimize lightweight encryption while balancing security and performance management [69][70][71][72][73][74][75][76].…”

Section: Keyword Clustering and Evolution Of Research On Iotmentioning

confidence: 99%

Current Research Trends in IoT Security: A Systematic Mapping Study

Lee

2021

Mobile Information Systems

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The smart mobile Internet-of-things (IoT) network lays the foundation of the fourth industrial revolution, the era of hyperconnectivity, hyperintelligence, and hyperconvergence. As this revolution gains momentum, the security of smart mobile IoT networks becomes an essential research topic. This study aimed to provide comprehensive insights on IoT security. To this end, we conducted a systematic mapping study of the literature to identify evolving trends in IoT security and determine research subjects. We reviewed the literature from January 2009 to August 2020 to identify influential researchers and trends of keywords. We additionally performed structural topic modeling to identify current research topics and the most promising ones via topic trend estimation. We synthesized and interpreted the results of the systematic mapping study to devise future research directions. The results obtained from this study are useful to understand current trends in IoT security and provide insights into research and development of IoT security.

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Section: Keyword Clustering and Evolution Of Research On Iotmentioning

confidence: 99%

Current Research Trends in IoT Security: A Systematic Mapping Study

Lee

2021

Mobile Information Systems

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“…SIMON is a versatile lightweight block cipher based on Feistal networks, tailored for hardware implementation in resource constrained devices. Different datapath architectures for SIMON have been proposed and studied, which focus on area [33,34], latency [34], throughput [31,34], energy efficiency [34], and security [34]. In other works, SIMON is shown to be promising in terms of area and throughput through simulations [23], but not much published literature exists to demonstrate its implementation in commodity hardware like microcontrollers manufactured by popular companies such as TI, Microchip, ST, etc.…”

Section: Related Workmentioning

confidence: 99%

Rapidly Deployable IoT Architecture with Data Security: Implementation and Experimental Evaluation

Maitra

Yelamarthi

2019

Sensors

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Internet of Things (IoT) has brought about a new horizon in the field of pervasive computing and integration of heterogeneous objects connected to the network. The broad nature of its applications requires a modular architecture that can be rapidly deployed. Alongside the increasing significance of data security, much research has focused on simulation-based encryption algorithms. Currently, there is a gap in the literature on identifying the effect of encryption algorithms on timing and energy consumption in IoT applications. This research addresses this gap by presenting the design, implementation, and practical evaluation of a rapidly deployable IoT architecture with embedded data security. Utilizing open-source off-the-shelf components and widely accepted encryption algorithms, this research presents a comparative study of Advanced Encryption Standards (AES) with and without hardware accelerators and an eXtended Tiny Encryption Algorithm (XTEA) to analyze the performance in memory, energy, and execution time. Experimental results from implementation in multiple IoT applications has shown that utilizing the AES algorithm with a hardware accelerator utilizes the least amount of energy and is ideal where timing is a major constraint, whereas the XTEA algorithm is ideal for resource constrained microcontrollers. Additionally, software implementation of AES on 8-bit PIC architecture required 6.36x more program memory than XTEA.

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“…The response time of the first possibility depend on the network latency, while the second one depends on the device characteristics. To make this process faster, it is possible to integrate a security cryptographic hardware into the device [39]. Thanks to this hardware, the encryption and sign process is faster and less computationally expensive, allowing typical IoT devices to make use of this cryptographic mechanism without relying on network latency.…”

Section: Challenges Of Btmentioning

confidence: 99%

Blockchain Technology in IoT Systems: Review of the Challenges

Mezquita¹,

Casado²,

González‐Briones³

et al. 2019

AETiC

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Internet of Things (IoT) platforms have a great number of vulnerabilities which cyber-attackers can exploit. A possible solution largely contemplated in the state of the art is to make use of blockchain technology in any IoT system to enhance the security of the platform while improving other of its aspects. Although there are valuable benefits of the use of IoT platforms based on blockchain technology, it is worth studying the different alternatives between blockchain technologies, because all of them have their own limitations that are not suitable for every use case scenario. In this work, we listed a number of flaws that blockchain technology has in this respect. We have identified that, most of the flaws can be overcome by adapting the variants of this technology to the specific needs of the IoT platform. Every IoT system based on blockchain technology, should perform a systematic analysis of their needs, identifying what are the blockchain features sought for that scenario, to choose the solution that best meets the needs among the different blockchain technology alternatives.

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Energy Efficient and Side-Channel Secure Cryptographic Hardware for IoT-Edge Nodes

Cited by 43 publications

References 23 publications

Current Research Trends in IoT Security: A Systematic Mapping Study

Current Research Trends in IoT Security: A Systematic Mapping Study

Rapidly Deployable IoT Architecture with Data Security: Implementation and Experimental Evaluation

Blockchain Technology in IoT Systems: Review of the Challenges

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