BAuth-ZKP—A Blockchain-Based Multi-Factor Authentication Mechanism for Securing Smart Cities

Ahmad, Md. Onais; Tripathi, Gautami; Siddiqui, Farheen; Alam, M. Afshar; Ahad, Mohd Abdul; Akhtar, Mohd Majid; Casalino, Gabriella

doi:10.3390/s23052757

Cited by 28 publications

(13 citation statements)

References 86 publications

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“…One potential area of future research is the development of more sophisticated authentication and authorization mechanisms to protect against unauthorized access to chatbot data. For instance, multi-factor authentication methods, which use blockchain, image recognition, a secure one-time PIN, and biometric authentication [38][39][40], may be used to improve the security of chatbots. Additionally, secure encryption [41] and end-to-end encryption can be used to ensure that messages and data are protected from interception or tampering [42].…”

Section: Privacy and Securitymentioning

confidence: 99%

A Systematic Literature Review of Information Security in Chatbots

et al. 2023

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Chatbots have become increasingly popular in recent years, but they also present security risks and vulnerabilities that need to be addressed. This systematic literature review examines the existing research relating to information security in chatbots, identifying the potential threats, proposed solutions, and future directions for research. The review finds that chatbots face various security threats, including malicious input, user profiling, contextual attacks, and data breaches, and that solutions such as blockchain technology, end-to-end encryption, and organizational controls can be used to mitigate these concerns. The review also highlights the importance of maintaining user trust and addressing privacy concerns for the successful adoption and continued use of chatbots. A taxonomy developed in this review provides a useful framework for categorizing the articles and their findings. The review concludes by identifying future research directions that include developing more sophisticated authentication and authorization mechanisms, exploring the use of privacy-enhancing technologies, and improving the detection and prevention of security threats, among others. This review contributes to the growing body of literature on information security in chatbots and can guide future research and practice in this field.

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Section: Privacy and Securitymentioning

confidence: 99%

A Systematic Literature Review of Information Security in Chatbots

et al. 2023

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“…A comprehensive evaluation of the body of research on cloud computing security literature reveals some research gaps that point to areas that could be explored further. Identity and Access Management (IAM) difficulties are well covered in the literature; however, there is a noticeable knowledge gap regarding the efficaciousness and practical use of advanced IAM solutions, like multi-factor authentication [177] and adaptive authentication, in various cloud contexts. In addition, more research on the harmonisation of global regulatory frameworks and strategies for seamless compliance across jurisdictions would be beneficial for the Legal and Compliance Challenges thematic category, which while skilfully addressing the complexities of data residency and international data transfer regulations, could benefit from it [178], [179].…”

Section: Research Gaps and Future Directionsmentioning

confidence: 99%

Security challenges in cloud computing: A comprehensive analysis

Janet Julia Ang'udi

2023

World J. Adv. Eng. Technol. Sci.

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The security issues surrounding cloud computing, a quickly developing technology that is now essential to both personal and business computing, are thoroughly examined in this study. Cloud computing presents serious security risks that require careful attention, despite its many advantages such as scalability, cost-effectiveness, and flexibility. In-depth discussions of a number of important security topics are covered in this paper, including network security, access control, data breaches, legal and regulatory framework compliance, and new threats and vulnerabilities. The paper illuminates the complexities of data and application security in the cloud environment by thoroughly examining these subjects. The study also looks at actual case studies to show how security breaches in cloud computing affect things and how to fix them. The study intends to offer insightful analyses of security challenges with practical implications by examining these cases and providing lessons learned from incidents that have happened in various cloud computing scenarios. Our comprehension of the complex nature of security threats and the tactics used to counter and mitigate them is improved by looking closely at these cases. This study looks into the potential benefits of cloud security enhancements from emerging technologies like artificial intelligence and machine learning, in addition to identifying existing challenges. The research investigates the potential benefits of these technologies in terms of automated security responses, adaptive access controls, and proactive threat detection. Cloud environments may be able to improve their security posture against new and sophisticated threats by utilizing the powers of AI and machine learning. Furthermore, by projecting future trends and challenges in cloud security, this paper offers a forward-looking view of the changing field. Comprehending these possible obstacles is crucial to creating proactive and flexible security approaches that can successfully tackle the ever-changing landscape of cloud computing. This paper's ultimate objective is to offer insightful information about practical approaches and industry best practices for safeguarding cloud environments. Organizations can navigate the complexity of the cloud landscape while protecting their data and applications from the ever-evolving threat landscape by striking a balance between the enormous potential of cloud computing and the necessity of maintaining strong security measures.

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“…By using Quadratic Arithmetic Programs in zk-SNARKs, people can convert information into polynomial forms, allowing for proof of correct program execution. Recursive zk-SNARKs enable proof verification of other proofs, reducing data and computational demands for improved scalability, eliminating the characteristic of Blockchains' decentralized characteristic [10].…”

Section: Leveraging Zkp Mechanisms In Blockchainmentioning

confidence: 99%

Examining Schnorrs protocol in the context of zero-knowledge proofs

Yue

2023

TNS

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The rise of technology has brought with it a heightened awareness of the necessity to shield personal data and maintain exclusive access to specific knowledge. A notable solution that emerged from this consciousness is Zero-Knowledge Proofs (ZKPs) and, more specifically, Schnorrs Protocol. Historically, Zero-Knowledge Proofs have a compelling lineage, tracing their roots back to the fervent discussions among cryptographers aiming to achieve a balance between information sharing and privacy. ZKPs are cryptographic methods that allow one party to prove to another that a statement is true, without revealing any specific information about the statement itself. In the midst of these developments, Schnorrs Protocol emerged as a renowned interactive proof system. It possesses an intuitive structure that has made it pivotal in the enhancement of digital security. The typical flow of Schnorrs Protocol begins with the prover sending a commitment to the verifier. The verifier then sends a random challenge back to the prover, who, in turn, produces a response. Whats captivating is that the verifier can ascertain the validity of the proof without gaining insight into the underlying secret. Interactive Schnorrs Protocol involves real-time back-and-forth communication between the prover and verifier. On the other hand, the non-interactive version eliminates this need by using a cryptographic hash function, thereby streamlining the process.

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BAuth-ZKP—A Blockchain-Based Multi-Factor Authentication Mechanism for Securing Smart Cities

Cited by 28 publications

References 86 publications

A Systematic Literature Review of Information Security in Chatbots

A Systematic Literature Review of Information Security in Chatbots

Security challenges in cloud computing: A comprehensive analysis

Examining Schnorrs protocol in the context of zero-knowledge proofs

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