Multiple Encryption using ECC and its Time Complexity Analysis

Kumar, Vishal; Kumar, R. K. Rishi; Barbhuiya, Mashud A.; Saikia, Monjul

doi:10.22362/ijcert/2016/v3/i11/48907

Cited by 5 publications

(4 citation statements)

References 1 publication

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“…9 reveals that proposed monte Carlo based algorithm took less computational time as compared to other techniques. Encryption and decryption computational time complexity is clearly lesser than in compared algorithms ECC [20] and AES [21].…”

Section: Comparison Analysis For Encryption and Decryption Algorithmmentioning

confidence: 86%

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A Monte Carlo Based COVID-19 Detection Framework for Smart Healthcare

Jabeen¹,

Jabeen²,

Ashraf³

et al. 2022

Computers, Materials &Amp; Continua

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COVID-19 is a novel coronavirus disease that has been declared as a global pandemic in 2019. It affects the whole world through personto-person communication. This virus spreads by the droplets of coughs and sneezing, which are quickly falling over the surface. Therefore, anyone can get easily affected by breathing in the vicinity of the COVID-19 patient. Currently, vaccine for the disease is under clinical investigation in different pharmaceutical companies. Until now, multiple medical companies have delivered health monitoring kits. However, a wireless body area network (WBAN) is a healthcare system that consists of nano sensors used to detect the real-time health condition of the patient. The proposed approach delineates is to fill a gap between recent technology trends and healthcare structure. If COVID-19 affected patient is monitored through WBAN sensors and network, a physician or a doctor can guide the patient at the right time with the correct possible decision. This scenario helps the community to maintain social distancing and avoids an unpleasant environment for hospitalized patients Herein, a Monte Carlo algorithm guided protocol is developed to probe a secured cipher output. Security cipher helps to avoid wireless network issues like packet loss, network attacks, network interference, and routing problems. Monte Carlo based covid-19 detection technique gives 90% better results in terms of time complexity, performance, and efficiency. Results indicate that Monte Carlo based covid-19 detection technique with edge computing idea is robust in terms of time complexity, performance, and efficiency and thus, is advocated as a significant application for lessening hospital expenses.

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Section: Comparison Analysis For Encryption and Decryption Algorithmmentioning

confidence: 86%

“…A comparison analysis of the proposed key generation algorithm is performed with the Kumar et al [20]. Fig.…”

Section: Comparison Analysis For Key Generation Algorithmmentioning

confidence: 99%

A Monte Carlo Based COVID-19 Detection Framework for Smart Healthcare

Jabeen¹,

Jabeen²,

Ashraf³

et al. 2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

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“…Decryption time of the multiple schemes is tested where the proposed genetic-based algorithm has less time complexity as compared to other schemes for decryption of data. Time of AES [2] and ECC [30] with proposed genetic based algorithm is observed, and it is noted that AES is taking more time and have high computations and genetic based algorithm have less computations.…”

Section: E Comparison Analysis Of Encryption and Decryption Algorithmmentioning

confidence: 99%

A Lightweight Genetic Based Algorithm for Data Security in Wireless Body Area Networks

et al. 2020

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The new generation of the wireless body area networks (WBAN) for internet of things (IoT) is emerging in a fast-paced. Today patients can be tested using remote clinical nanosensors. WBAN involves interconnected small sensors for the collection of ongoing medical data and transmitted through the networks for further processing. However, the protection of healthcare data is very important and difficult because of the various active and passive numbers of attacks. Although there exists several literature on data security techniques such as digital signatures, Elliptic curve cryptography, and Advanced Encryption Standards (AES) they contain stumbling blocks for the security methodologies. Thus, in this paper, a novel data protection genetic-based encryption scheme is proposed for higher performance.INDEX TERMS WBAN security, genetic based algorithm, cryptography, healthcare data security, man-inmiddle attack, internet of nano things

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“…The equation is of degree 3 because the highest degree of x in the equation is 3. Elliptic curves operate over both prime field, F p , and binary field, F 2 m [2].…”

Section: Introductionmentioning

confidence: 99%

Text Encryption with Improved Elliptic Curve Cryptography

David

Sulaimon²

2023

JAMCS

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The security of data encrypted with an encryption algorithm should be guaranteed such that it is never easy for a third party to recover the message from the encrypted data. To this effect, ECC has been a reliable option. However, the base equation that defines the security of Elliptic Curve Cryptography (ECC) is in the form of a linear equation with one unknown which is easy to solve. The ease with which this equation can be solved is a weak point in the algorithm. Thus, the aim of this research work is to improve the security of ECC by improving the nature of its base linear equation. Elliptic curve arithmetic was used to develop the improved model. The encryption process was specifically targeted and improved from single to double encryption using separate encryption constant for each round of encryption. Simulation was done using a 256 bits key size on selected number of character inputs. Java programming language was used to simulate the model on Net Beans IDE. Results of the research show that despite a longer key size of 256 bits and double encryption process, the improved ECC performed better than the existing ECC model in both encryption and decryption times, but compared to RSA, the encryption is higher while the decryption time is lower. Generally, this shows that the improved ECC out – performed the existing systems and is therefore better.

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Multiple Encryption using ECC and its Time Complexity Analysis

Cited by 5 publications

References 1 publication

A Monte Carlo Based COVID-19 Detection Framework for Smart Healthcare

A Monte Carlo Based COVID-19 Detection Framework for Smart Healthcare

A Lightweight Genetic Based Algorithm for Data Security in Wireless Body Area Networks

Text Encryption with Improved Elliptic Curve Cryptography

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