Approaches to Enforce Privacy in Databases: Classical to Information Flow-Based Models

Shyamasundar, R. K.; Chaudhary, Pratiksha; Jaiswal, Arushi; Kuiri, Aniket

doi:10.1007/s10796-021-10178-w

Cited by 4 publications

(1 citation statement)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These themes and sub-themes have been developed and formulated through a three-step systematic approach. For instance, the first theme on personalization is conceptualized as Step 1: identify similar keywords from respondents’ statements: (i) “AI-based recognition can provide tailor-made and personalized choices”; (ii) “AI can absolutely transform different elements for privacy and personalization to accommodate the needs through multiplayer data system”; and (iii) “An ID proof and a photo can be asked while booking a hotel online, and the same can be used during check-in” (Kar & Kushwaha, 2021 ; Shyamasundar et al, 2021 ). Moreover, this technology can be integrated with connected services (IoT), where different services are billed to guests instantly or at a later time rather than spending time on paying for them at check-out.…”

Section: Resultsmentioning

confidence: 99%

The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry

et al. 2022

View full text Add to dashboard Cite

This study aims to investigate the role of artificial intelligence (AI) driven facial recognition to enhance a value proposition by influencing different areas of services in the travel and tourism industry. We adopted semi-structured interviews to derive insights from 26 respondents. Thematic analysis reveals the development of four main themes (personalization, data-driven service offering, security and safety, and seamless payments). Further, we mapped the impact of AI- driven facial recognition to enhance value and experience for corporate guests. Findings indicate that AI-based facial recognition can facilitate the travel and tourism industry in understanding travelers’ needs, optimization of service offers, and value-based services, whereas data-driven services can be realized in the form of customized trip planning, email, and calendar integration, and quick bill summarization. This contributes to strengthening the tourism literature through the lens of organizational information processing theory.

show abstract

Section: Resultsmentioning

confidence: 99%

The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry

et al. 2022

View full text Add to dashboard Cite

show abstract

Advances in Secure Knowledge Management in the Artificial Intelligence Era

et al. 2021

View full text Add to dashboard Cite

Knowledge management and preservation started thousands of years ago from cave paintings, representing words by pictures, later moving to books through the invention of paper and printing in the 15 th century (Wallace, 2007). Later with the development of computing systems, knowledge/information was stored in the form of computing documents. In the first decade of the 21 st century there was an explosion of volume, velocity, and variety (3V) of data. In addition to the storage cost, extraction of information/knowledge was non-trivial and thus required the evolution of knowledge management tools. In the 2 nd

show abstract

A mutual certificate-based data privacy scheme for ubiquitous and sustainable computing system users

Damodhar¹,

Anandan

Nalini³

et al. 2023

Sustainable Energy Technologies and Assessments

View full text Add to dashboard Cite

Approaches to Enforce Privacy in Databases: Classical to Information Flow-Based Models

Cited by 4 publications

References 25 publications

The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry

The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry

Advances in Secure Knowledge Management in the Artificial Intelligence Era

A mutual certificate-based data privacy scheme for ubiquitous and sustainable computing system users

Contact Info

Product

Resources

About