A systematic literature review on sensitive data protection in blockchain applications

Abstract

Since inception, blockchain has earned significant attention due to its exclusive characteristics and advantages. It has changed the way the transactions are conducted by eradicating the role of third parties and promises to ensure trust among the participants. This technology is emerging as a potential solution to several issues but not without certain security vulnerabilities. In particular, protection of sensitive data is a more critical issue in the absence of a third party. This paper is aimed to report and share the state of the art of sensitive data protection in blockchain applications. The covered aspects include identification of sensitive data, existing techniques to protect sensitive data and to know how real time data compromised by security risks, attacks, threats and vulnerabilities concerning blockchain applications. This paper analysis the tools and techniques used in the past for protecting sensitive data and categorized them. On the basis of research and intuitive findings, methods and techniques are elaborated which can contribute in future in the designing a framework for protection of sensitive data in blockchain applications.

Blockchain assisted blind signature algorithm with data integrity verification scheme

“…The proposed approach is evaluated in terms of several key metrics that can ultimately identify the performance of the model. The enactment of the framework is also compared with several existing methods such as the short signature algorithm (ZSS), 28 Boneh, Lynn and Shacham (BLS), 27 BLAZE, 41 lattice based blind signature(LBS), 42 lattice‐based blind ring signature (LBRS) 43 . More illustrations and descriptions regarding the comparisons and analysis are presented below:…”

Are Chatbots the Key to Success in Customer Service for Logistics Companies? A Statistical Study of 10 of the Most Important Companies in South America

“…Chatbots may struggle to handle complex business rules that vary depending on the situation or location Chatbot requests information about delivery options that vary depending on the destination Ethical concerns also arise with the use of chatbots in customer service. For example, chatbots must be programmed to protect customer privacy and maintain confidentiality (Khanum and Mustafa, 2022). Additionally, companies must consider the potential for chatbots to perpetuate biases or discriminate against specific customers based on their language or background.…”

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“…Las limitaciones de los chatbots pueden afectar su rendimiento en el servicio al cliente logístico, generando insatisfacción y dañando la reputación de la marca. También surgen preocupaciones éticas, como la necesidad de programarlos para preservar la privacidad y confidencialidad del cliente (Khanum y Mustafa, 2022). Además, se debe considerar el riesgo de que los chatbots perpetúen prejuicios o discriminación, requiriendo un diseño y monitoreo cuidadoso para evitar problemas (Brendel et al, 2022).…”