Energy Efficiency Comparison with Cipher Strength of AES and Rijndael Cryptographic Algorithms in Mobile Devices

Toldinas, Jevgenijus; Štuikys, Vytautas; Damaševičius, Robertas; Ziberkas, Giedrius; Banionis, Mindaugas

doi:10.5755/j01.eee.108.2.134

Cited by 21 publications

(12 citation statements)

References 6 publications

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“…For our experiments, we use a PDA with a mobile Intel Core i7-2720QM CPU, frequency of which is 2.2 GHz, the base clock is 100.0 MHz, and the CPU multiplier is 22. We use the cryptographic software library from the OpenSSL [16] to implement the test programs in our experiments, because this library has been widely used in the research community. It has been rigorously reviewed by many cryptographers and programming experts for its correctness and performance.…”

Section: Methodsmentioning

confidence: 99%

An Energy Efficient Protocol For The Internet Of Things

Venčkauskas

Jusas

Kazanavičius

et al. 2015

Journal of Electrical Engineering

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The Internet of Things (IoT) is a technological revolution that represents the future of computing and communications. One of the most important challenges of IoT is security: protection of data and privacy. The SSL protocol is the de-facto standard for secure Internet communications. The extra energy cost of encrypting and authenticating of the application data with SSL is around 15%. For IoT devices, where energy resources are limited, the increase in the cost of energy is a very significant factor. In this paper we present the energy efficient SSL protocol which ensures the maximum bandwidth and the required level of security with minimum energy consumption. The proper selection of the security level and CPU multiplier, can save up to 85% of the energy required for data encryption.

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Section: Methodsmentioning

confidence: 99%

An Energy Efficient Protocol For The Internet Of Things

Venčkauskas

Jusas

Kazanavičius

et al. 2015

Journal of Electrical Engineering

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“…As a consequence, symmetric algorithms will become more expensive in the way of memory requirements, processing costs, and speed, as well as energy consumption. For example, some estimates [34] indicate that the doubling of the Advanced Encryption Standard (AES) key size from 128 to 256 bits increases costs by 20%.…”

Section: Symmetricmentioning

confidence: 99%

Evaluating the Efficiency of Physical and Cryptographic Security Solutions for Quantum Immune IoT

et al. 2018

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Abstract:The threat of quantum-computer-assisted cryptanalysis is forcing the security community to develop new types of security protocols. These solutions must be secure against classical and post-quantum cryptanalysis techniques as well as feasible for all kinds of devices, including energy-restricted Internet of Things (IoT) devices. The quantum immunity can be implemented in the cryptographic layer, e.g., by using recent lattice-based key exchange algorithms NewHope or Frodo, or in the physical layer of wireless communication, by utilizing eavesdropping-resistant secrecy coding techniques. In this study, we explore and compare the feasibility and energy efficiency of selected cryptographic layer and physical layer approaches by applying an evaluation approach that is based on simulation and modeling. In particular, we consider NewHope and Frodo key exchange algorithms as well as novel physical layer secrecy coding approach that is based on polar codes. The results reveal that our proposed physical layer implementation is very competitive with respect to the cryptographic solutions, particularly in short-range wireless communication. We also observed that the total energy consumption is unequally divided between transmitting and receiving devices in all the studied approaches. This may be an advantage when designing security architectures for energy-restricted devices.

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“…of the algorithms. In a similar experiment [26], we analyze energy efficiency vs. cipher strength of the AES/Rijndael crypto algorithms in a mobile device with respect to block and key size. The measurements were executed on the ASUS P750 PDA using a custom energy profiling program that implements the algorithm (see Fig.…”

Section: Case Studiesmentioning

confidence: 99%

Methods for Measurement of Energy Consumption in Mobile Devices

Damaševičius¹,

Štuikys²,

Toldinas³

2013

Metrology and Measurement Systems

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Mobile devices have become an integral part of our life and provide dozens of useful services to their users. However, usability of mobile devices is hindered by battery lifetime. Energy conservation can extend battery lifetime, however, any energy management policy requires accurate prediction of energy consumption, which is impossible without reliable energy measurement and estimation methods and tools. We present an analysis of the energy measurement methodologies and describe the implementations of the internal (profiling) software (proprietary, custom) and external software-based (Java API, Sensor API, GSM AT) energy measurement methodologies. The methods are applied to measure energy consumption on a variety of mobile devices (laptop PC, PDA, smart phone). A case study of measuring energy consumption on a mobile computer using 3DMark06 benchmarking software is presented.

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Energy Efficiency Comparison with Cipher Strength of AES and Rijndael Cryptographic Algorithms in Mobile Devices

Cited by 21 publications

References 6 publications

An Energy Efficient Protocol For The Internet Of Things

An Energy Efficient Protocol For The Internet Of Things

Evaluating the Efficiency of Physical and Cryptographic Security Solutions for Quantum Immune IoT

Methods for Measurement of Energy Consumption in Mobile Devices

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