scholarly journals David Kenny (1940–2011): Informatician who established some of the first principles of data privacy and confidentiality

2013 ◽  
Vol 20 (1) ◽  
pp. 75-76
Author(s):  
Barry Barber ◽  
Maureen Scholes ◽  
Michael Fairey ◽  
Jean Roberts
Keyword(s):  
First Principles ◽  
Data Privacy ◽  
Privacy And Confidentiality

Data Privacy and Confidentiality

2011 ◽  
pp. 342-345 ◽  
Author(s):  
Stephen E. Fienberg ◽  
Aleksandra B. Slavković
Keyword(s):  
Data Privacy ◽  
Privacy And Confidentiality

Data analytics dilemma at Alpen Hotel

2019 ◽  
Vol 9 (2) ◽  
pp. 58-63
Author(s):  
Tammy Wee ◽  
Arif Perdana ◽  
Detlev Remy
Keyword(s):  
Customer Relationship Management ◽  
Data Analytics ◽  
Data Privacy ◽  
Hospitality Industry ◽  
Service Providers ◽  
Relationship Management ◽  
Customer Relationship ◽  
Using Data ◽  
Privacy And Confidentiality

Data analytics is currently the buzzword for the hospitality industry to stay ahead of their competitors. Service providers use data analytics to ensure their brand remains relevant for customers. Using data analytics in customer relationship management is a relatively novel initiative for the hospitality industry to enhance the efforts of customer relationship management. Obtaining customers’ data (i.e. customers’ hotel stay and preferences) provides both opportunity and challenges for the hospitality industry. Data analytics helps the hospitality industry to quickly, effectively, and efficiently pursue data-driven decision-making. At the same time, acquiring relevant customers’ data is a challenge, for example, data privacy and confidentiality. This case study is based on Alpen Hotel (pseudonym), a luxury hotel in Singapore with a good standing in the hospitality industry. This case is focused on the issues they experienced in implementing data analytics as part of the hotel’s customer relationship management efforts. This case study aims to highlight data analytics dilemma at the hotel and may create an opportunity for hospitality educators to work interdisciplinary with faculties from an information systems or technology discipline. Finally, the case study may enhance knowledge and minimise the practice gap between industry and academia.

scholarly journals Health data privacy and confidentiality rights: Crisis or redemption?

2014 ◽  
Vol 32 (2) ◽  
pp. 123-133 ◽  
Author(s):  
Paula Lobato de Faria ◽  
João Valente Cordeiro
Keyword(s):  
Data Privacy ◽  
Health Data ◽  
Privacy And Confidentiality

Efficient top representative for multi-authorship encrypted cloud data to assist cognitive search

2020 ◽  
Vol 39 (6) ◽  
pp. 8079-8089
Author(s):  
P. Shanthi ◽  
A. Umamakeswari
Keyword(s):  
Cloud Storage ◽  
Data Privacy ◽  
New Technologies ◽  
Keyword Search ◽  
Information Leakage ◽  
Cloud Services ◽  
Security And Privacy ◽  
Business World ◽  
Cloud Data ◽  
Privacy And Confidentiality

Cloud computing is gaining ground in the digital and business world. It delivers storage service for user access using Internet as a medium. Besides the numerous benefits of cloud services, migrating to public cloud storage leads to security and privacy concerns. Encryption method protects data privacy and confidentiality. However, encrypted data stored in cloud storage reduces the flexibility in processing data. Therefore, the development of new technologies to search top representatives from encrypted public storage is the current requirement. This paper presents a similarity-based keyword search for multi-author encrypted documents. The proposed Authorship Attribute-Based Ranked Keyword Search (AARKS) encrypts documents using user attributes, and returns ranked results to authorized users. The scheme assigns weight to index vectors by finding the dominant keywords of the specific authority document collection. Search using the proposed indexing prunes away branches and processes only fewer nodes. Re-weighting documents using the relevant feedback also improves user experience. The proposed scheme ensures the privacy and confidentiality of data supporting the cognitive search for encrypted cloud data. Experiments are performed using the Enron dataset and simulated using a set of queries. The precision obtained for the proposed ranked retrieval is 0.7262. Furthermore, information leakage to a cloud server is prevented, thereby proving its suitability for public storage.

scholarly journals Challenges for Developing Navies to Adopt Industry 4.0

2019 ◽  
Author(s):  
RK Rana ◽  
S Chhabra
Keyword(s):  
Data Storage ◽  
Cyber Security ◽  
Industry 4.0 ◽  
Data Privacy ◽  
Big Data Analytics ◽  
Advanced Materials ◽  
Computational Power ◽  
The Subject ◽  
Building Operation ◽  
Privacy And Confidentiality

The rapid advancements in microprocessors has enhanced the computational power available on the desk top, enabling a paradigm shift in the way Researchers are handling large amount of data, developing newer algorithms to gain a deeper understanding of the subject matter as well as thinking and performing tasks that could never be imagined by mankind couple of decades ago. 3D additive printing; robotics - soft and hard; increased autonomous operations; Big data analytics; Internet of Things; Cyber Physical Systems; Artificial Intelligence; Machine Learning; Nanotechnology; Augmented and Virtual Reality; Exoskeleton; Cloud computing; Predictive maintenance; Advanced materials etc are the results of exponential rise in computational power, collectively known as Industry 4.0. Adoption of industry 4.0 across different industrial domains is now encroaching upon design, building, operation and maintenance of both commercial and naval ships. This paper intends to examine the adoption rate in advanced navies and look at the challenges faced by the developing navies, (especially in the Indian context), in their readiness for industry 4.0. The challenges could be education and training of human resources; industry support; local culture and mindset - within the navy and outside the navy; Cyber Security; Data storage; Data Privacy and confidentiality etc.

scholarly journals Cybersecurity risk analysis in healthcare institutions

2020 ◽  
Vol 30 (Supplement_2) ◽  
Author(s):  
P Nunes ◽  
M Antunes ◽  
C Silva
Keyword(s):  
Data Privacy ◽  
Healthcare Professionals ◽  
Sociodemographic Factors ◽  
Risky Behaviour ◽  
Cross Sectional ◽  
Professional Groups ◽  
Privacy And Confidentiality ◽  
The Relationship ◽  
Type Response ◽  
Average Information

Abstract Introduction The growing digitization of businesses and its increasing dependence on Internet infrastructure has boosted the concerns related to data privacy and confidentiality. Healthcare institutions have been challenged with specific issues, namely the sensitivity of data, the specificity of networked equipment and the average information technology skills held by of healthcare professionals in Portugal. Objectives To understand the relationship level established by healthcare professionals with the information security by assessing attitudes and behaviours in cybersecurity; to identify risks and actions that may be taken to enhance the healthcare professional’s cybersecurity awareness. Methodology The study consists in translating, adjusting and applying two previously validated and published Likert-type response scales to assess health professionals' cybersecurity attitudes and behaviours in the Portuguese health environment. This is an observational, quantitative, cross-sectional and descriptive study in cybersecurity attitudes and behaviours in a healthcare institution in Portugal. Results The sample was composed by 56 professionals, 71% women and 29% men, divided in four professional groups, where a mean (±SD) of 31.59 (±14.211) points was achieved for the cybersecurity risky behaviour (RScB) scale and 66.41 (±6,26) points for the cybersecurity and cybercrime in business attitudes scale (ATC-IB). Conclusions There was no-significant statistical differences between the sociodemographic factors and the scores obtained on both scales. However, the points of the scales for the different domains evidences a statistical difference between ages, genders and professional groups by items, which are therefore important points for the development of future studies. The results showed a relationship between acquired behaviours and the attitudes of involvement with work and organizational commitment, establishing a bridge for the quantification in awareness.

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