Correlation power analysis of modes of encryption in AES and its countermeasures

Fahd, Shah; Afzal, Mehreen; Abbas, Haider; Iqbal, Waseem; Waheed, Salman

doi:10.1016/j.future.2017.06.004

Cited by 16 publications

(6 citation statements)

References 12 publications

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“…After verification testing was started at various clock rates, the issue arose. Verification tests have failed due to false static energy compared to the major reason for this study suggested by Fahd et al [21].…”

Section: Background To the Energy Prediction Modelsmentioning

confidence: 78%

Power Prediction of VLSI Circuits Using Machine Learning

Poovannan¹,

Karthik²

2023

Computers, Materials &Amp; Continua

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The difference between circuit design stage and time requirements has broadened with the increasing complexity of the circuit. A big database is needed to undertake important analytical work like statistical method, heat research, and IR-drop research that results in extended running times. This unit focuses on the assessment of test strength. Because of the enormous number of successful designs for current models and the unnecessary time required for every test, maximum energy ratings with all tests cannot be achieved. Nevertheless, test safety is important for producing trustworthy findings to avoid loss of output and harm to the chip. Generally, effective power assessment is only possible in a limited sample of pre-selected experiments. Thus, a key objective is to find the experiments that might give the worst situations again for testing power. It offers a machine-based circuit power estimation (ML-CPE) system for the selection of exams. Two distinct techniques of predicting are utilized. Firstly, to find testings with power dissipation, it forecasts the behavior of testing. Secondly, the change movement and energy data are linked to the semiconductor design, identifying small problem areas. Several types of algorithms are utilized. In particular, the methods compared. The findings show great accuracy and efficiency in forecasting. That enables such methods suitable for selecting the worst scenario.

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Section: Background To the Energy Prediction Modelsmentioning

confidence: 78%

Power Prediction of VLSI Circuits Using Machine Learning

Poovannan¹,

Karthik²

2023

Computers, Materials &Amp; Continua

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“…However, in the modern sense of confidentiality, data integrity, and entity authentication are all aspects of information security that the science of cryptography addresses. So the notion of modern cryptography is not only dealing with message hiding but more than a set of techniques that provide information security [3], [15], [18]- [22].…”

Section: Research Methods 21 Cryptographymentioning

confidence: 99%

“…Where the ECB operating mode has an operating pattern on N blocks separately with the same K secret key and has no connection between one block and another. While the CBC mode of operation, uses the initial vector input to build the encoding linkage between one block and the next block [15], [16].…”

Section: Introductionmentioning

confidence: 99%

Implementation of image file security using the advanced encryption standard method

Ikhwan

Raof

Ehkan³

et al. 2023

IJEECS

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The application of technology in this era has entered digitalization and is modern. Therefore, we are already in an era of advanced and rapid technological development. It has become a human need to exchange information in every activity. Documents that contain information that is frequently sought or used. The document's use also includes essential information. Document security is undoubtedly a significant factor in prioritizing important information in a document to prevent unauthorized people from misusing the document's vital information. Cryptography is a method of overcoming document security issues so that third parties cannot read the information or messages contained within the document. The 128-bit advanced encryption standard (AES) algorithm is one of the algorithms included in the cryptography technique. Additionally, it can be combined with operation modes such as electronic codebook (ECB) and cipher block chaining (CBC) to create an application that can generate random codes to improve the security of the data contained in the document.

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“…In this mode, a 128-bit initialization vector is XORed with the first block to be encrypted then the resulting ciphertext is XORed with the second block before being encrypted, the process is repeated until the last block. However, this key-chaining nature of CBC requires more processing time [20][21][22].…”

Section: Cipher Block Chaining Modementioning

confidence: 99%

File encryption based on reduced-round AES with revised round keys and key schedule

Reyes

Sison

Medina

2019

IJEECS

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The continuing advancement of technology had provided security issues in protecting the confidentiality of information. The need to protect unauthorized access of a third party is warranted. In this paper, the reduced-round modified AES with revised round keys and key schedule is proposed to ensure file confidentiality. The modifications to the AES cipher round was the reduction of the round iterations from 10 to 6, and additional key permutations were added in between states; while in the key schedule, additional byte substitution process was appended. Time and throughput were utilized to measure the performance of the application's encryption/decryption process; while the avalanche effect and randomness tests were used to measure the security of the modified AES algorithm. The results of evaluations have shown that the encryption and decryption time have improved by 1.27% and 1.21% respectively while the throughput has similarly improved by 1.29% and 3.19% for both encryption and decryption respectively. Whereas the avalanche effect of the modified AES was 50.06% which was more than the ideal value of 50% and it was also better than the standard AES which was 49.94% using the sample dataset. Finally, all the ciphertext outputs of the modified AES passed the randomness tests.

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Correlation power analysis of modes of encryption in AES and its countermeasures

Cited by 16 publications

References 12 publications

Power Prediction of VLSI Circuits Using Machine Learning

Power Prediction of VLSI Circuits Using Machine Learning

Implementation of image file security using the advanced encryption standard method

File encryption based on reduced-round AES with revised round keys and key schedule

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