Power consumption for security on mobile devices

Soewito, Benfano; Gunawan, Fergyanto E.; [], Diana; Antonyová, Anna

doi:10.1109/kicss.2016.7951435

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…Several key sizes and different cipher block modes and their effects on energy consumption have been investigated. In [47], the authors study the power consumption of deploying several cipher algorithms on Android smartphones where several les with different sizes have been examined. Particularly, the AES nalist algorithm RC6, Two sh, Serpent, and Mars algorithms.…”

Section: Cryptographic Algorithms In Wsnsmentioning

confidence: 99%

Analysis the Effect of Dynamic Clustering and Lightweight Symmetric Encryption Approaches on Network Lifetime in WSNs

Abu-Ain

Ahmad

Sundararajan

2021

Preprint

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Energy consumption and security efficiency are still main challenges in Wireless Sensor Networks (WSNs) due to their hardware resource-constrained nature. The 6LoWPAN protocol was developed to improve WSNs communication, security, and node management optimization. Hence the protocol energy efficiency and security can be improved. In this paper, we address the WSN nodes’ power consumption by analyzing the Dynamic Cluster Head (DynCH) technique, which automates the process of selecting WSN Cluster Head (CH) nodes based on the WSN nodes’ energy and nodes’ distances among each other in mobile WSN nodes. Moreover, this analysis covers the complexity of DynCH in different environments to prove its efficiency compared to the steady CH mechanism. In addition, we present the performance analysis of different lightweight systematic block encryption algorithms along with DynCH scheme on WSNs lifetime. In particular, Speck128, FlexenTech, Tiny Encryption Algorithm (TEA), and Advanced Encryption Standard (AES) algorithms are used in order to determine the amount of energy consumed by the sensor nodes and their effect on the network lifetime. Furthermore, the lightweight key management mechanism is used to secure the data and keys exchange between WSN nodes in all different systematic encryption algorithms. The Cooja simulator with Contiki operating system are used to evaluate our analysis. Finally, the outcome of the analysis has showed that DynCH improves the wireless network lifetime by 45% compared to the steady clustering approach. Moreover, the analysis also shows that, Speck128 consumed 26%, FlexenTech consumed 52%, TEA consumed 65%, and AES consumed 78% of wireless network lifetime compared to unsecure wireless networks communication, respectively.

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Section: Cryptographic Algorithms In Wsnsmentioning

confidence: 99%

Analysis the Effect of Dynamic Clustering and Lightweight Symmetric Encryption Approaches on Network Lifetime in WSNs

Abu-Ain

Ahmad

Sundararajan

2021

Preprint

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“…The power consumption of the AES finalists RC6, Twofish, Serpent, and Mars was measured on an Android smartphone device in [39]. File sizes of 1, 2, 3, 4, and 5 megabytes were used for encryption and decryption of data.…”

Section: Related Workmentioning

confidence: 99%

PRISEC: Comparison of Symmetric Key Algorithms for IoT Devices

Saraiva

Leithardt

Paula

et al. 2019

Sensors

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With the growing number of heterogeneous resource-constrained devices connected to the Internet, it becomes increasingly challenging to secure the privacy and protection of data. Strong but efficient cryptography solutions must be employed to deal with this problem, along with methods to standardize secure communications between these devices. The PRISEC module of the UbiPri middleware has this goal. In this work, we present the performance of the AES (Advanced Encryption Standard), RC6 (Rivest Cipher 6), Twofish, SPECK128, LEA, and ChaCha20-Poly1305 algorithms in Internet of Things (IoT) devices, measuring their execution times, throughput, and power consumption, with the main goal of determining which symmetric key ciphers are best to be applied in PRISEC. We verify that ChaCha20-Poly1305 is a very good option for resource constrained devices, along with the lightweight block ciphers SPECK128 and LEA.

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