Electronic Medical Information Encryption Using Modified Blowfish Algorithm

Oluwatobi, Akande Noah; Abikoye, Oluwakemi Christiana; Adebiyi, Marion Olubunmi; Kayode, Anthonia Aderonke; Adegun, Adekanmi Adeyinka; Ogundokun, Roseline Oluwaseun

doi:10.1007/978-3-030-24308-1_14

Cited by 14 publications

(4 citation statements)

References 24 publications

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“…This LSB technique is proficient in entrenching comparatively huge undisclosed data in a concealment object [35] by substituting the LSBs of the concealment object pixels with the hidden data bits [36,37]. In the field of medical textual information hiding, several approaches have been suggested for various goals [38][39][40][41][42]. In recent years, different mechanisms of image steganography have been implemented [43][44][45][46][47][48][49][50][51][52][53][54][55][56][57].…”

Section: Related Workmentioning

confidence: 99%

A Safe and Secured Medical Textual Information Using an Improved LSB Image Steganography

Ogundokun

Abikoye

2021

International Journal of Digital Multimedia Broadcasting

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Safe conveyance of medical data across unsecured networks nowadays is an essential issue in telemedicine. With the exponential growth of multimedia technologies and connected networks, modern healthcare is a huge step ahead. Authentication of a diagnostic image obtained from a specialist at a remote location which is from the sender is one of the most challenging tasks in an automated healthcare setup. Intruders were found to be able to efficiently exploit securely transmitted messages from previous literature since the algorithms were not efficient enough leading to distortion of information. Therefore, this study proposed a modified least significant bit (LSB) technique capable of protecting and hiding medical data to solve the crucial authentication issue. The application was executed and established by utilizing MATLAB 2018a, and it used a logical bit shift operation for execution. The investigational outcomes established that the proposed technique can entrench medical information without leaving a perceptible falsification in the stego image. The result of this implementation shows that the modified LSB image steganography outperformed the standard LSB technique with a higher PSNR value and lower MSE value when compared with previous research works. The number of shifts was added as a new performance metric for the proposed system. The study concluded that the proposed secured medical information system was evidenced to be proficient in secreting medical information and creating undetectable stego images with slight entrenching falsifications when likened to other prevailing approaches.

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Section: Related Workmentioning

confidence: 99%

A Safe and Secured Medical Textual Information Using an Improved LSB Image Steganography

Ogundokun

Abikoye

2021

International Journal of Digital Multimedia Broadcasting

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“…Though several techniques aimed at curtailing the growing hazards of these attacks have been reported in literature, many have not been able to fully address all scope of the problem. Several security techniques have been proposed towards preventing data and information from unauthorized attacks [6][7][8], and attackers continually devise new security vulnerabilities that could be exploited. Therefore, new techniques aimed at detecting and preventing these attacks are essential.…”

Section: Cross-site Scripting (Xss) Attacksmentioning

confidence: 99%

A novel technique to prevent SQL injection and cross-site scripting attacks using Knuth-Morris-Pratt string match algorithm

Abikoye

Abubakar

Dokoro

et al. 2020

EURASIP J. on Info. Security

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Structured Query Language (SQL) injection and cross-site scripting remain a major threat to data-driven web applications. Instances where hackers obtain unrestricted access to back-end database of web applications so as to steal, edit, and destroy confidential data are increasing. Therefore, measures must be put in place to curtail the growing threats of SQL injection and XSS attacks. This study presents a technique for detecting and preventing these threats using Knuth-Morris-Pratt (KMP) string matching algorithm. The algorithm was used to match user's input string with the stored pattern of the injection string in order to detect any malicious code. The implementation was carried out using PHP scripting language and Apache XAMPP Server. The security level of the technique was measured using different test cases of SQL injection, cross-site scripting (XSS), and encoded injection attacks. Results obtained revealed that the proposed technique was able to successfully detect and prevent the attacks, log the attack entry in the database, block the system using its mac address, and also generate a warning message. Therefore, the proposed technique proved to be more effective in detecting and preventing SQL injection and XSS attacks

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“…Compared to traditional security protocols based on various data encrypted algorithms, such as elliptic curve cryptography (ECC), [ 1 ] identity‐based encryption, [ 2 ] fully homomorphic encryption [ 3 ] and ring learning with errors, [ 4 ] triple data encryption standard (DES), [ 5 ] Rivest–Shamir–Adleman (RSA), [ 6 ] and so on, the recently advertised Physical Unclonable Function (PUF) is easier to create, but virtually impossible to duplicate. [ 7 ] More importantly, PUFs can thwart physical attacks because the secrecy of a PUF stems from the inherent complexity of a given system only when needed.…”

Section: Introductionmentioning

confidence: 99%

Physically Unclonable Functions Based on Self‐Oriented Nanowires

Zhao,

Wang,

Zhang

et al. 2023

Adv Materials Technologies

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As scaling down to the nanoscale, the dramatically increased morphological deviation between nanostructures becomes a major challenge in implementing large‐scale nanodevices. On the other side of the coin, the often‐undesirable rich non‐repeatable randomness introduced during nanostructure growth and subsequent device fabrication is of great value in the implementation of physically unclonable functions (PUF), a booming innovative security primitive. Herein, it is shown that the self‐oriented organic nanowires grown on a faceted surface through a vapor transport process are advanced building blocks for the implementation of two novel PUFs. An optical PUF is first demonstrated by exploiting the unclonable morphological randomness of the self‐oriented nanowires (e.g., length, thickness, density, and location), which can provide an entity‐specific primary encryption for nanowire devices. Next, these nanowires are integrated into photodetector arrays directly on their growth substrate and accordingly enable an electrical PUF based on the inherent resistance variation between detector cells. Furthermore, by combining these two PUFs, a secondary encryption with higher security is proposed for information communication. The implementation of nanowire‐based PUFs not only opens a new device direction to exploit the annoying unclonable randomness of bottom‐up nanowires, but also provides innovative label‐free security primitives for emerging nanowire‐based devices and systems.

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Electronic Medical Information Encryption Using Modified Blowfish Algorithm

Cited by 14 publications

References 24 publications

A Safe and Secured Medical Textual Information Using an Improved LSB Image Steganography

A Safe and Secured Medical Textual Information Using an Improved LSB Image Steganography

A novel technique to prevent SQL injection and cross-site scripting attacks using Knuth-Morris-Pratt string match algorithm

Physically Unclonable Functions Based on Self‐Oriented Nanowires

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