Multifactor authentication system based on color visual cryptography, facial recognition, and dragonfly optimization

Ibrahim, Dyala R.; Teh, Je Sen; Abdullah, Rosni

doi:10.1080/19393555.2020.1817633

Cited by 13 publications

(6 citation statements)

References 28 publications

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“…Protecting voter privacy, ensuring secrecy, anonymity, integrity, uniqueness, and legitimacy of votes, while making e-Voting as trustworthy as voting, remains the key challenges of e-Voting. a secure open-source e-voting system is introduced that uses cryptographic techniques to separate the both voter identification and voting phases [17]. The Election system is one of essential parts of democratic country that in-volves the several procedures.…”

Section: Iot and Cloud Computing In Electronic Election Voting Systemmentioning

confidence: 99%

Role of Digitalization in Election Voting Through Industry 4.0 Enabling Technologies

Vaqur

Kumar²,

Singh

et al. 2023

IJRITCC

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The election voting system is one of the essential pillars of democracy to elect the representative for ruling the country. In the election voting system, there are multiple areas such as detection of fake voters, illegal activities for fake voting, booth capturing, ballot monitoring, etc., in which Industry 4.0 can be adopted for the application of real-time monitoring, intelligent detection, enhancing security and transparency of voting and other data during the voting. According to previous research, there are no studies that have presented the significance of industry 4.0 technologies for improving the electronic voting system from a sustainability standpoint. To overcome the research gap, this study aims to present literature about Industry 4.0 technologies on the election voting system. We examined individual industry enabling technologies such as blockchain, artificial intelligence (AI), cloud computing, and the Internet of Things (IoT) that have the potential to strengthen the infrastructure of the election voting system. Based upon the analysis, the study has discussed and recommended suggestions for the future scope such as: IoT and cloud computing-based automatic systems for the detection of fake voters and updating voter attendance after the verification of the voter identity; AI-based illegal, and fake voting activities detection through vision node; blockchain-inspired system for the data integrity in between voter and election commission and robotic assistance system for guiding the voter and also for detecting disputes in the premises of election booth.

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Section: Iot and Cloud Computing In Electronic Election Voting Systemmentioning

confidence: 99%

Role of Digitalization in Election Voting Through Industry 4.0 Enabling Technologies

Vaqur

Kumar²,

Singh

et al. 2023

IJRITCC

View full text Add to dashboard Cite

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“…Visual cryptography is used for face identification. According to the research carried out by Ibrahim et al, it was revealed that a multifactor authentication system to be preferred instead of visual cryptography provides a faster verification opportunity and increases security with multiple verifications [3]. Using multiple authentication methods, especially using biometric data, is a good measure to deter attackers.…”

Section: Related Workmentioning

confidence: 99%

Authentication with face recognition and sign language using ESP32-CAM

YALÇIN,

TÜRKDAĞLI,

DALKILIÇ

et al. 2023

DEUFMD

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Authentication is the confirmation of the accuracy of the data piece that any institution, person or system accepts as correct. Many methods are used for the authentication process. Some of these are the methods using biometric data such as face authentication, fingerprint authentication, and iris authentication. In this article, the way to create a secure system using face recognition and sign language as an authentication method is discussed and an application using ESP32-CAM is developed and tested. The results show that secure authentication cannot be achieved with facial recognition and sign language. The developed system is low cost and easy to implement. With this system, authentication can be done without requiring any physical contact, and it can be used for personal security and entrance and exit. Sign language, which is frequently used by hearing-impaired individuals, can play an active role as authentication. With low-cost modules such as ESP32, it will be an alternative to authentication in almost every environment.

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“…Other interesting approaches for authentication are presented in [21], in which the authentication is based on information about body composition analysis; ref. [22] presents a method of authentication based on eye color and facial recognition; ref. [23] presents an authentication method based on hand gestures captured by surface electromyography.…”

Section: State-of-the-art Approachmentioning

confidence: 99%

A Searchable Encryption Scheme with Biometric Authentication and Authorization for Cloud Environments

Mihăilescu

Nita

2022

Cryptography

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Cloud computing offers the possibility of providing suitable access within a network for a set of resources. Many users use different services for outsourcing their data within the cloud, saving and mitigating the local storage and other resources involved. One of the biggest concerns is represented by storing sensitive data on remote servers, which can be found to be extremely challenging within different situations related to privacy. Searchable Encryption (SE) represents a particular case of Fully Homomorphic Encryption (FHE) and at the same time represents a method composed from a set of algorithms meant to offer protection for users’ sensitive data, while it preserves the searching functionality on the server-side. There are two main types of SE: Searchable Symmetric Encryption (SSE), where the ciphertexts and trapdoors for searching are performed using private key holders, and Public Key Searchable Encryption (PKSE), in which a specific number of users have the public key based on which are capable of outputting ciphertexts and giving the possibility of producing the trapdoors by using the private key from the holder. In this article, we propose a searchable encryption system that uses biometric authentication. Additionally, biometric data are used in the trapdoor generation process, such that an unauthorized user cannot submit search queries. The proposed system contains three components: classic user authentication (based on username, password, and a message with a code using short message service (SMS), biometric authentication, and the searchable encryption scheme. The first two components can be seen as two-factor authentication (2FA), and the second component represents the initialization step of the searchable encryption scheme. In the end, we show and demonstrate that the proposed scheme can be implemented with success for medium to complex network infrastructures. We have granted special attention to the trapdoor function, which generates a value that can be used to perform the search process and search function that is based on the trapdoor pair for searching within the index structure. We provide the correctness and security proof of the operations, which gives us the guarantee that the cloud servers return the correct documents. Additionally, we discuss measuring the performance of the authentication scheme in terms of performance indicators, introducing two indicators for measuring purposes—namely, cloud average number of non-legitim the user actions for cloud purposes (CANNL) and cloud average number of legitim user actions (CANLU).

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Multifactor authentication system based on color visual cryptography, facial recognition, and dragonfly optimization

Cited by 13 publications

References 28 publications

Role of Digitalization in Election Voting Through Industry 4.0 Enabling Technologies

Role of Digitalization in Election Voting Through Industry 4.0 Enabling Technologies

Authentication with face recognition and sign language using ESP32-CAM

A Searchable Encryption Scheme with Biometric Authentication and Authorization for Cloud Environments

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