Text Encryption Using Pell Sequence and Elliptic Curves with Provable Security

Azhar, Sumaira; Azam, Naveed Ahmed; Hayat, Umar

doi:10.32604/cmc.2022.023685

Cited by 10 publications

(7 citation statements)

References 46 publications

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“…We have used pairing-based cryptography libraries to ensure that all transactions between consultants are private. To accomplish privacy preservation [26], we have used three cyclic group [27] namely G 1 ; G 2 ; and G T of order of the group r, we have also used bilinear map e which produces an element of G T using G 1 and G 2 . The framework allows the main consultant to publish transfer patients report along with the system parameter g which is a random element of G 2 .…”

Section: Privacy Preservationmentioning

confidence: 99%

An Intelligent Cardiovascular Diseases Prediction System Focused on Privacy

Kolhar¹,

Misfer²

2023

Intelligent Automation &Amp; Soft Computing

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Machine learning (ML) and cloud computing have now evolved to the point where they are able to be used effectively. Further improvement, however, is required when both of these technologies are combined to reap maximum benefits. A way of improving the system is by enabling healthcare workers to select appropriate machine learning algorithms for prediction and, secondly, by preserving the privacy of patient data so that it cannot be misused. The purpose of this paper is to combine these promising technologies to maintain the privacy of patient data during the disease prediction process. Treatment of heart failure may be improved and expedited with this framework. We used the following machine learning algorithms to make predictions: Logistic Regression (LR), Naive Bayes (NB), K-Nearest Neighbors (KNN), Decision Tree (DT) and Support Vector Machines (SVM). These techniques, combined with cloud computing services, improved the process of deciding whether to treat a patient with cardiac disease. Using our classifiers, we classified cardiac patients according to their features, which are grouped into single features, combinations of selected features, and all features. In experiments using all clinical features, machine learning classifiers SVM, DT, and KNN outperformed the rest, whereas in experiments using minimal clinical features, SVM and KNN were the most accurate. Internet of Things (IoT) devices allow family physicians to share diagnostic reports on the cloud in a secure manner. Ring signatures are particularly useful for verifying the integrity of data exchange. Our system keeps the physician's identity confidential from all authorized users, who can still access medical reports publicly. Our proposed mechanism has been shown to be both effective and efficient when it comes to obtaining patient reports from cloud storage.

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Section: Privacy Preservationmentioning

confidence: 99%

An Intelligent Cardiovascular Diseases Prediction System Focused on Privacy

Kolhar¹,

Misfer²

2023

Intelligent Automation &Amp; Soft Computing

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“…Thinn and Thwin [9] proposed a symmetric algorithm for text ciphering, based on a modified Advanced Encryption Standard (AES), they added an additional key and Sub-Bytes step, the operation is done by creating g second key, then XORing with plain text, finally applying Modification in the SubBytes function. Zeena and Melad [10] used DNA code, depending on taking 8 adjacent letters, then encrypted these letters using DNA Table by Substituting separately a matching letter on the table, authors finally hid the encrypted text inside the image using four pseudo random generated from chaotic operation to choose a position in the image authors [11] proposed a novel way for text encryption from three steps, the first is applying cyclic shift on encoded plain text to generate a diffusion set, the second step is applying the Pell sequence, a weight function, and a binary sequence to encode each element of the diffused plain text into real numbers, finally Confused encoded text by generating two bijections. Murillo-Escobar et al [12] proposed an encryption for authentication using fingerprint, by depending on pseudorandom sequences created by a chaotic scheme.…”

Section: Related Workmentioning

confidence: 99%

Text Encryption by Indexing ASCII of Characters Based on the Locations of Pixels of the Image

Jirjees¹,

Alkhalid²,

Hasan³

2023

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Network security has recently become a major issue since the growth of electronic data exchange so cryptography is important in protecting secure online data resources from integrity, confidentiality, and safety perspective against potential attacks such as eavesdropping and brute force. In this paper, we proposed a method for encrypting the transmitted information based on an image, which worked as a key that is saved by the client and the server. The encryption process of the text will be to encode characters by changing the ASCII code of characters with the locations (row and column) of the ASCII code equivalent in the image data, the locations will be chosen randomly. The proposed algorithm provides a relatively greater degree of security in avoiding avalanches, eavesdropping attacks, and password space because the character encoding method will be dynamic depending on the size and type of image used. Several securities analyses were presented, and the proposed algorithm proved to be highly secure. Compared to some current text cypher schemes, the proposed algorithm is very safe against modern cryptanalysis.

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“…Related work: Like chaotic maps, elliptic curves (ECs) are highly sensitive to the initial parameters, and a number of EC-based algorithms have been developed for cryptographic applications [9,[35][36][37][38][39][40][41][42][43][44][45][46][47][48]. Zhang and Wang [40] used the group law for the generation of a public key and encrypted digital images by combining a chaotic system and elliptic curve cryptography (ECC).…”

Section: Introductionmentioning

confidence: 99%

A Novel Image Encryption Scheme Based on Elliptic Curves over Finite Rings

Azam

2022

Entropy

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Image encryption based on elliptic curves (ECs) is emerging as a new trend in cryptography because it provides high security with a relatively smaller key size when compared with well-known cryptosystems. Recently, it has been shown that the cryptosystems based on ECs over finite rings may provide better security because they require the computational cost for solving the factorization problem and the discrete logarithm problem. Motivated by this fact, we proposed a novel image encryption scheme based on ECs over finite rings. There are three main steps in our scheme, where, in the first step, we mask the plain image using points of an EC over a finite ring. In step two, we create diffusion in the masked image with a mapping from the EC over the finite ring to the EC over the finite field. To create high confusion in the plain text, we generated a substitution box (S-box) based on the ordered EC, which is then used to permute the pixels of the diffused image to obtain a cipher image. With computational experiments, we showed that the proposed cryptosystem has higher security against linear, differential, and statistical attacks than the existing cryptosystems. Furthermore, the average encryption time for color images is lower than other existing schemes.

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Text Encryption Using Pell Sequence and Elliptic Curves with Provable Security

Cited by 10 publications

References 46 publications

An Intelligent Cardiovascular Diseases Prediction System Focused on Privacy

An Intelligent Cardiovascular Diseases Prediction System Focused on Privacy

Text Encryption by Indexing ASCII of Characters Based on the Locations of Pixels of the Image

A Novel Image Encryption Scheme Based on Elliptic Curves over Finite Rings

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