Designing A Novel Hybrid Algorithm for QR-Code Images Encryption and Steganography

Soltani, Mohammad; Bardsiri, Amid Khatibi

doi:10.17706/jcp.13.9.1075-1088

Cited by 3 publications

(3 citation statements)

References 12 publications

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“…Fernet offers higher security, trust, privacy, authenticity, authorization, data confidentiality, and integrity. It ensures nonrepudiation, prevents impersonation attacks, shoulder-surfing attacks, phishing attacks, identity theft, and brute-force attacks [46,[74][75][76][77][78][79][80][81][82][83].…”

Section: • Fernet Encryptionmentioning

confidence: 99%

A Secure and Efficient Multi-Factor Authentication Algorithm for Mobile Money Applications

2021

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With the expansion of smartphone and financial technologies (FinTech), mobile money emerged to improve financial inclusion in many developing nations. The majority of the mobile money schemes used in these nations implement two-factor authentication (2FA) as the only means of verifying mobile money users. These 2FA schemes are vulnerable to numerous security attacks because they only use a personal identification number (PIN) and subscriber identity module (SIM). This study aims to develop a secure and efficient multi-factor authentication algorithm for mobile money applications. It uses a novel approach combining PIN, a one-time password (OTP), and a biometric fingerprint to enforce extra security during mobile money authentication. It also uses a biometric fingerprint and quick response (QR) code to confirm mobile money withdrawal. The security of the PIN and OTP is enforced by using secure hashing algorithm-256 (SHA-256), a biometric fingerprint by Fast IDentity Online (FIDO) that uses a standard public key cryptography technique (RSA), and Fernet encryption to secure a QR code and the records in the databases. The evolutionary prototyping model was adopted when developing the native mobile money application prototypes to prove that the algorithm is feasible and provides a higher degree of security. The developed applications were tested, and a detailed security analysis was conducted. The results show that the proposed algorithm is secure, efficient, and highly effective against the various threat models. It also offers secure and efficient authentication and ensures data confidentiality, integrity, non-repudiation, user anonymity, and privacy. The performance analysis indicates that it achieves better overall performance compared with the existing mobile money systems.

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Section: • Fernet Encryptionmentioning

confidence: 99%

A Secure and Efficient Multi-Factor Authentication Algorithm for Mobile Money Applications

2021

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“…While the 2D logistic has more complex behaviors in image encryption than a 1D logistic map for this reason this paper use it to encrypt images. 2D logistic map can be show as follow [4]:…”

Section: Logistic Mapmentioning

confidence: 99%

“…M. A. Murillo-Escobar et al [3] proposed a new fingerprint template protection based on logistic map and Murillo-Escobar's algorithm. Mohammad Soltani and Amid Khatibi Bardsiri [4] proposed a hybrid algorithm for encryption and steganography, they generated the QR-code using input text and encrypted the resulting QR image using 2D logistic map then convert the encrypted QR to text, after that they encrypted the original text using AES algorithm and hiding it using LSB algorithm. Sruthi B. Asok et al [5] extracts a secret key from iris image and use it to encrypt data.…”

Section: Introductionmentioning

confidence: 99%

Iris images encryption based on QR code and chaotic map

et al. 2020

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In this paper an Iris image is encrypted based on QR (quick response) code and chaotic map. The main idea of the proposed system is generating a QR code depending on the input text and then extract the features from QR code by using convolution, these features are used for key generation. After that the permuted iris image is encrypted by using generated key, after that the resulting image will be encrypts using 2D logistic map. The randomness of generated key is tested using the measures of NIST, and quality of images that encrypted in this method are tested by using security analysis tests such as PSNR, UACI, NPCR, histogram, correlation and entropy. The security analysis shows that the proposed system is secure for iris image encryption.

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Base64 Color Code

Selvamani

Sekar

2021

IJARSCT

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QR code widely used as an url to link to a website or data that contains the essential text to fetch. Its nearly a decade has been used in day today life on products. An idea about re-inventing the qr code in such a way that making files in transformation of base64 (code text)which then formatted to a pattern of qr code which enables qr code has the content of the file. Now when a person scans the QR(Quick Response) code without the interaction with the internet he gets the app or the file in his device. While in this if the scanner of the app has the predefined AR(Augmented reality) object which helps the today's world to make an advertisable mode for attracting customers. Like adding a predefined cube with rotating animation. Now the user just has to add text on what side has to be placed. so image code just has to contain the text on which side and what speed the cube to rotate. By this a new way already defined library holding in decoder or scanner app helps the user interaction and content delivery easily. In this adding color QR code which gives the possibility to explore more data into it .

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Designing A Novel Hybrid Algorithm for QR-Code Images Encryption and Steganography

Cited by 3 publications

References 12 publications

A Secure and Efficient Multi-Factor Authentication Algorithm for Mobile Money Applications

A Secure and Efficient Multi-Factor Authentication Algorithm for Mobile Money Applications

Iris images encryption based on QR code and chaotic map

Base64 Color Code

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