Performance Costs of Software Cryptography in Securing New-Generation Internet of Energy Endpoint Devices

Ledwaba, Lehlogonolo P. I.; Hancke, Gerhard P.; Venter, Hein S.; Isaac, Sherrin J.

doi:10.1109/access.2018.2793301

Cited by 38 publications

(23 citation statements)

References 17 publications

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“…Security is one of the most important issues in wireless communication because of the broadcast nature of wireless medium. Conventionally, encryption/decryption algorithms that generate public/private keys are used to guarantee the security [1,2]. Recently, a security framework for the physical layer, called the wiretap channel or physical-layer security (PLS) [3][4][5][6][7][8][9][10][11], has been introduced as a potential solution.…”

Section: Introductionmentioning

confidence: 99%

Secrecy Performance Enhancement for Underlay Cognitive Radio Networks Employing Cooperative Multi-Hop Transmission with and without Presence of Hardware Impairments

Tin

Nguyen

Duy³

et al. 2019

Entropy

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In this paper, we consider a cooperative multi-hop secured transmission protocol to underlay cognitive radio networks. In the proposed protocol, a secondary source attempts to transmit its data to a secondary destination with the assistance of multiple secondary relays. In addition, there exists a secondary eavesdropper who tries to overhear the source data. Under a maximum interference level required by a primary user, the secondary source and relay nodes must adjust their transmit power. We first formulate effective signal-to-interference-plus-noise ratio (SINR) as well as secrecy capacity under the constraints of the maximum transmit power, the interference threshold and the hardware impairment level. Furthermore, when the hardware impairment level is relaxed, we derive exact and asymptotic expressions of end-to-end secrecy outage probability over Rayleigh fading channels by using the recursive method. The derived expressions were verified by simulations, in which the proposed scheme outperformed the conventional multi-hop direct transmission protocol.

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Section: Introductionmentioning

confidence: 99%

Secrecy Performance Enhancement for Underlay Cognitive Radio Networks Employing Cooperative Multi-Hop Transmission with and without Presence of Hardware Impairments

Tin

Nguyen

Duy³

et al. 2019

Entropy

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“…The data security in IoT applications can be offered using symmetric, asymmetric, or functions. Symmetric algorithms require the processors with minimum cost indulged whereas asymmetric requires hardware configuration to be implemented because of the complexity in their operation . Authors have also evaluated the statistical error.…”

Section: Methodsmentioning

confidence: 99%

A lightweight IoT‐based security framework for inventory automation using wireless sensor network

Batra

Verma

Kavita

et al. 2019

Int J Communication

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Internet of things (IoT) has evolved as an innovation of next generation in this world of smart devices. IoT tends to provide services for data collection, data management, and data and device security required for application development. Things or devices in IoT communicate and compute to make our lives comfortable and safe. In inventory automation, real-time check on items, their information management, and status management, monitoring can be carried out using IoT. The huge amount of data that flows among the devices in the network demands for a security framework that ensures authentication, authorization, integrity, and confidentiality of data. The existing security solutions like SIMON or SPECK offer lightweight security solutions but are vulnerable to differential attack because of their simplicity. Moreover, existing solutions do not offer inbuilt authentication. Therefore, this research work contributes a secure and lightweight IoT-based framework using wireless sensor network (WSN) as a technology. The existing security solutions SPECK and SIMON are compared with the proposed security approach using COOJA simulator. The results show that proposed approach outstands others by 2% reduction in number of CPU cycles, 10% less execution time, 4% less memory requirements of security approach, and with minimum 10% more security impact.

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“…This let us to characterize the SW solution in terms of throughput and latency. Concerning the power consumption, we used an approach similar to the one employed in [1], [8][9][10]. We fed the board hosting the BCM2837B0 chip with a constant voltage of 5 V provided by a bench power supply (Keysight E3631A Triple Output DC Power Supply), and we acquired the absorbed current by the board, by means of a digital multimeter (Keysight 34461A Digital Multimeter), while executing the speed routine for several algorithms.…”

Section: Methodsmentioning

confidence: 99%

“…In [1] the authors analysed and characterized the performance costs (in terms of power consumption and execution times) of software solutions for cryptographic services, targeting the ARM Cortex-M processors family. As conclusion of that work, the authors stated that despite Cortex-M processors were capable of running standard cryptographic algorithms such Advanced Encryption Standard (AES) and Secure Hash Algorithm (SHA), without excessive power consumption, the use of a hardware cryptographic module or an algorithm optimisation could be required for that processors in case of public-key cryptography: "as the resulting execution times for Elliptic Curve Digital Signature Algorithm (ECDSA) were sufficiently long as to increase the probability of missed deadlines in a hard real-time application" [1]. For this reason, in this research activity we used a Cortex-A53 processor by ARM, which includes the ARMv8 Cryptographic Extension module, providing instructions for accelerating the execution of AES Decryption, AES Encryption, SHA1, SHA224 and SHA256 algorithms [2].…”

Section: Introductionmentioning

confidence: 99%

Crypto Accelerators for Power-Efficient and Real-Time on-Chip Implementation of Secure Algorithms

Baldanzi

Crocetti

Matteo

et al. 2019

2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS)

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The demand for data exchange is ever growing. Internet of Things (IoT), industry 4.0, smart city and nextgeneration interconnected vehicles are some examples of scenarios in which a high volume of nodes share data across networks. Hence, the data protection plays a fundamental aspect to avoid disclosure or manipulation of sensitive information and disruption of services, particularly in safety critical applications. On the other hand, also the compute power at disposal of possible attackers and hackers is growing, and next-future post-quantum capabilities will require the usage of longer keys, certificates and digital signatures, to preserve the security level offered by cryptographic functions. This will affect not only the amount of exchange data, but also the computational resources to secure data, increasing processing time, latencies and power consumption, and lowering data rates. In this work, we investigate different implementation strategies to overcome such performance limitations. This work provides a comparison among pure software approach (both on 32b and 64b processors) and hardware-based solutions we developed for FPGA and ASIC System-on-Chip platforms, for the most common symmetric-key and public-key cryptographic algorithms. The proposed hardware accelerators feature one order of magnitude higher throughput (and lower latency) and more than two orders lower power consumption than their software counterparts. A highly configurable cryptographic suite is proposed that can be customized according to the application requirements and thus able to increase as much as possible the efficiency in terms of energy per enciphered bits per second.

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Performance Costs of Software Cryptography in Securing New-Generation Internet of Energy Endpoint Devices

Cited by 38 publications

References 17 publications

Secrecy Performance Enhancement for Underlay Cognitive Radio Networks Employing Cooperative Multi-Hop Transmission with and without Presence of Hardware Impairments

Secrecy Performance Enhancement for Underlay Cognitive Radio Networks Employing Cooperative Multi-Hop Transmission with and without Presence of Hardware Impairments

A lightweight IoT‐based security framework for inventory automation using wireless sensor network

Crypto Accelerators for Power-Efficient and Real-Time on-Chip Implementation of Secure Algorithms

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