Template-Based Transliteration of Braille Character to Gujarati Text—The Application

Vyas, Hardik; Kumar, A. V. Senthil

doi:10.1007/978-981-15-6014-9_50

Cited by 5 publications

(7 citation statements)

References 5 publications

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“…Python is an interpreted high-level, general-purpose, and object-oriented programming language designed to rapidly prototype complex applications. It has an extensive and comprehensive standard library, platformindependent, and automatic memory controls [89].…”

Section: Pythonmentioning

confidence: 99%

“…MySQL is chosen because of its compatibility with different operating systems, scalability, robustness, accessibility, reliability, backup and recovery utilities, flexibility to implement many features to improve system performance, encryption and decryption functions to protect sensitive data. It also handles large databases efficiently and delivers reliable and high-performance applications [89][90][91].…”

Section: Mysqlmentioning

confidence: 99%

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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: Pythonmentioning

confidence: 99%

Section: Mysqlmentioning

confidence: 99%

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

2021

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“…Natural language processing is key to understanding the human language in depth as it facilitates better analysis and is also effective in performing analysis on a large amount of data in very little time. People can have access to a wide range of information through computerization and automation of a language (Isewon et al 2014;Vyas & Virparia 2020). Text to speech system is a part of NLP where a string of text is processed by a system to generate speech signal.…”

Section: Introductionmentioning

confidence: 99%

Developing a Text to Speech System for Dzongkha

2021

CEIS

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Text to Speech plays a vital role in imparting information to the general population who have difficulty reading text but can understand spoken language. In Bhutan, many people fall in this category in adopting the national language 'Dzongkha' and system of such kind will have advantages in the community. In addition, the language will heighten its digital evolution in narrowing the digital gap. The same is more important in helping people with visual impairment. Text to speech systems are widely used in talking BOTs to news readers and announcement systems. This paper presents an attempt towards developing a working model of Text to Speech system for Dzongkha language. It also presents the development of a transcription or grapheme table for phonetic transcription from Dzongkha text to its equivalent phone set. The transcription tables for both consonants and vowels have been prepared in such a way that it facilitates better compatibility in computing. A total of 3000 sentences have been manually transcribed and recorded with a single male voice. The speech synthesis is based on a statistical method with concatenative speech generation on FESTIVAL platform. The model is generated using the two variants CLUSTERGEN and CLUNITS of the FESTIVAL speech tools FESTVOX. The development of system prototype is of the first kind for the Dzongkha language.

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“…Python is an opensource, object-oriented, interpreted, general-purpose, and high-level programming language with easy syntax for developing rapid prototypes of applications Vyas & Virparia, 2020;Arévalo et al, 2020;Bati, 2021). Guido Van Rossum developed Python in 1989 as a free, open-source, simple, easily interoperate with other languages, and portable to support objectoriented, procedural, and functional programming (Mészárosová, 2015;Shi & Chen, 2020;Huggi & Jamuna, 2020).…”

Section: Pythonmentioning

confidence: 99%

“…It is a cross-platform language that runs on different operating systems and supports third-party libraries (Mészárosová, 2015;Bati, 2021). Python has comprehensive features such as platform independence, data structures, an extensive standard library, automatic memory management, open-source, clean syntax, and easily readable codes (Kumar & Panda, 2019;Vyas & Virparia, 2020;Huggi & Jamuna, 2020;Wang, 2020;Bati, 2021). It can be used to create applications that can quickly communicate with database systems, handle big data, and develop fast prototypes (Huggi & Jamuna, 2020).…”

Section: Pythonmentioning

confidence: 99%

Development of a secure multi-factor authentication algorithm for mobile money applications

Guma¹

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With the evolution of industry 4.0, financial technologies have become paramount and mobile money as one of the financial technologies has immensely contributed to improving financial inclusion among the unbanked population. Several mobile money schemes were developed but, they suffered severe authentication security challenges since they implemented two-factor authentication. This study focused on developing a secure multi-factor authentication (MFA) algorithm for mobile money applications. It uses personal identification numbers, one-time passwords, biometric fingerprints, and quick response codes to authenticate and authorize mobile money subscribers. Secure hash algorithm-256, Rivest-Shamir-Adleman encryption, and Fernet encryption were used to secure the authentication factors, confidential financial information and data before transmission to the remote databases. A literature review, survey, evolutionary prototyping model, and heuristic evaluation and usability testing methods were used to identify authentication issues, develop prototypes of native genuine mobile money (G-MoMo) applications, and identify usability issues with the interface designs and ascertain their usability, respectively. The results of the review grouped the threat models into attacks against privacy, authentication, confidentiality, integrity, and availability. The survey identified authentication attacks, identity theft, phishing attacks, and PIN sharing as the key mobile money systems’ security issues. The researcher designed a secure MFA algorithm for mobile money applications and developed three native G-MoMo applications to implement the designed algorithm to prove the feasibility of the algorithm and that it provided robust security. The algorithm was resilient to non-repudiation, ensured strong authentication security, data confidentiality, integrity, privacy, and user anonymity, was highly effective against several attacks but had high communication overhead and computational costs. Nevertheless, the heuristic evaluation results showed that the G-MoMo applications’ interface designs lacked forward navigation buttons, uniformity in the applications’ menu titles, search fields, actions needed for recovery, and help and documentation. Similarly, the usability testing revealed that they were easy to learn, effective, efficient, memorable, with few errors, subscriber satisfaction, easy to use, aesthetic, easy to integrate, and understandable. Implementing a secure mobile money authentication and authorisation by combining multiple factors which are securely stored helps mobile money subscribers and other stakeholders to have trust in the developed native G-MoMo applications.

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Template-Based Transliteration of Braille Character to Gujarati Text—The Application

Cited by 5 publications

References 5 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

Developing a Text to Speech System for Dzongkha

Development of a secure multi-factor authentication algorithm for mobile money applications

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