Data Security in Cloud Computing Using Three-Factor Authentication

Nalajala, Sunanda; Moukthika, B.; Kaivalya, M.; Samyuktha, K.; Pratap, N. L.

doi:10.1007/978-981-15-2612-1_33

Cited by 15 publications

(4 citation statements)

References 5 publications

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“…In addition, smart devices are favored in artificial intelligence (AI) or work as sensors to detect geolocation or GPS coordination. A mobile phone is considered a smart device and can be used to perform biometric identification, push notifications, and installed applications that perform user verification [48] [49].…”

Section: ) Iot or Smart Device Authenticationmentioning

confidence: 99%

A Systematic Review on Multi-Factor Authentication Framework

Syahreen,

Hafizah,

Maarop

et al. 2024

ijacsa

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In the new era of technology, where information can be accessed and gained at the push of a button, security concerns are raised about protecting the system and data privacy and confidentiality. Traditional ways of user authentication are vulnerable to multiple attacks across all platforms. Various studies propose the use of more than one authentication process to enhance the security level of a system, either hosted on-premise or on the cloud. However, there is limited study on guidelines and appropriate authentication frameworks that suit the needs of an organization. A systematic literature review of a Multi-Factor Authentication framework was conducted through five primary databases: Scopus, IEEE, Science Direct, Springer Link, and Web of Science. The review examined the proposed solution and the underlying methods in a Multi-Factor Authentication framework. Numerous authentication methods were combined to address specific system and data security challenges. The most common authentication method is biometric authentication, which addresses the uniqueness of the user's biological identity. The majority of the proposed solutions were proof of concept and require a pilot test or experiment in the future.

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Section: ) Iot or Smart Device Authenticationmentioning

confidence: 99%

A Systematic Review on Multi-Factor Authentication Framework

Syahreen,

Hafizah,

Maarop

et al. 2024

ijacsa

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“…In [17], the data security in cloud computing is protected by the three-factor authentications which consists of login phase, authentication phase, and biometric phase. The three factors are user credentials, fingerprints and passwords.…”

Section: Existing Algorithms For Data Security In Cloud Computingmentioning

confidence: 99%

Authentication and Encryption algorithms for data security in Cloud computing: A comprehensive review

Nguyen¹,

Le²

2022

Proceedings of the Sixth International Conference on Research in Intelligent and Computing

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With the growth of data stored in cloud, data may become the target of attackers in the Internet. Therefore, the end users require high confidentiality, integrity and authentication in order to protect their data in cloud. In this paper, we aim at a comprehensive studying about the data security in cloud computing. The paper will discuss the details of cloud computing data security challenges and find out which are the most important challenges as well as the efficient solutions. The existing authentication and encryption algorithms are compared in terms of users' scenarios, outstanding features and the limitation. We also review the advantages and drawbacks of the algorithms for data security in terms of cloud computing services.

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“…The data are securely stored in chunks by the Blockchain (BC), adding an extra layer of security by making it challenging to decode (Yadav et al, 2020). Nevertheless, it also faces biometric misuse, wrong passwords, and fingerprint login issues (Nalajala et al, 2020). To overcome these issues, an efficient Signed SSL/TSL based Data Security in the cloud using LTT-DDBM and RSASK-TECC framework is proposed.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Signed SSL/Tls-Based Data Security in the Cloud Using Ltt-Ddbm and TECC

TIWARI,

Jha

2023

Preprint

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Cloud data security is a set of strategies to secure data from security threats. Nevertheless, the prevention of multiple cloud security attacks has been ignored by the previous works. To overcome this issue, this paper proposes an efficient Signed Secure Socket Layer/ Transport Layer Security (SSL/TLS) based Data Security in the cloud using Log Triangular Transfer function based Deep Drop Boltzmann Machines (LTT-DDBM) and Rivest, Shamir Adleman Session Key-based Twisted Edwards Curve Cryptography (RSASK-TECC) framework with Digital Signature Algorithm (DSA). The process is initiated by the web owner by sending a request to the SSL/TLS Certificate Authority Centre (CAC) to establish a website. The web owner will upload the php files to the web server if the CAC requirements are satisfied. Afterward, the data owner logs in to the browser. Thereafter, the signed SSL/TLS certificate is forwarded to the CAC for attack detection and verification by using LTT-DDBM. If the verification is successful, a public key is generated along with the signed SSL/TLS certificate. Nevertheless, a warning message will be generated if the verification fails. After successful verification, a session key is generated by the browser that is further utilized for encrypting the data. Then, the encrypted data along with the session keys undergo further encryption utilizing the public key via Advanced Encryption Standard Session key-based Twisted Edwards Curve Cryptography (AESS-TECC) for enhancing data security. The data user checks hash codes for data integrity before downloading. Data access is granted if the codes match; otherwise, it is declined. As per the experimental analysis, the proposed mechanism is superior to the prevailing approaches.

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Data Security in Cloud Computing Using Three-Factor Authentication

Cited by 15 publications

References 5 publications

A Systematic Review on Multi-Factor Authentication Framework

A Systematic Review on Multi-Factor Authentication Framework

Authentication and Encryption algorithms for data security in Cloud computing: A comprehensive review

An Efficient Signed SSL/Tls-Based Data Security in the Cloud Using Ltt-Ddbm and TECC

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