An approach for the protection of users’ book browsing preference privacy in a digital library

Wu, Zongda; Zheng, Chengren; Xiejian, Jian; Zhou, Zhifeng; Xu, Guandong; Chen, Enhong

doi:10.1108/el-07-2017-0162

Cited by 13 publications

(12 citation statements)

References 11 publications

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“…However, an emerging stream of research focuses on the use of so-called "intelligent libraries," with studies addressing the deployment of e-books in such venues (Cheng, 2009;Liu et al, 2020;Chen (2009), and Gul and Bano (2019) including industry environment, software/hardware requirements, market opportunities, development conditions and distribution platforms. Other studies have examined the use of radio-frequency identification (RFID) technologies in libraries (Li et al, 2019;Gul and Bano, 2019;Wu et al, 2018) including RFID applications for journal borrowing, library collection circulation and management and user privacy. Investigations into digital service development have surveyed user service demands and satisfaction (Yahui and Ke, 2010;Hsieh and Lin, 2009).…”

Section: Introductionmentioning

confidence: 99%

Exploring consumers’ intent to use smart libraries with technology acceptance model

Huang

2020

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Purpose Scientific advances and the emergence of a wide range of broadband services have resulted in the internet developing as a critical component of most peoples’ daily lives. The rapid development of the global economy and improvements to the information network speed and reliability have driven a radical evolution of the concept of “library.” Modern information technologies have not only drastically altered the functionality and accessibility of libraries, but it is no longer a matter of the library community to use scientific and technological innovation ideas and techniques to promote its business. The sample of this study was distributed to the consumers of the Guangdong Intelligent Library for the questionnaire. Design/methodology/approach A total of 520 questionnaires were distributed, returning 375 validresponses for an effective recovery rate of 72%. Findings Perceptual ease of use has a positive and direct impact on perceptual usefulness. Perceptual ease of use has a positive and direct impact on attitude. Perceptual usefulness has a positive and direct impact on attitude. Perceptual usefulness has a positive direct impact on behavioral intentions. Attitude has a positive and direct impact on behavioral intentions. Subjective norms have a positive and direct impact on behavioral intentions. Perceptual behavioral control has a positive and direct impact on behavioral intentions. Perceptual behavioral control has a positive and direct impact on behavior. Behavioral intentions have a positive and direct impact on behavior. Originality/value Based on the survey results and analysis, recommendations are made to help smart libraries integrate artificial intelligence methods to provide highly attractive service offerings in an extremely competitive environment.

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Section: Introductionmentioning

confidence: 99%

Exploring consumers’ intent to use smart libraries with technology acceptance model

Huang

2020

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“…Traditional security measures such as identity verification and access control can prevent unwanted users from accessing data, but they can't stop internal cloud users from accessing and revealing sensitive information [327]. As such, there are some research focuses on this privacy issues within different domain such as digital library [328], [329], cloud computing [330], [327], e-commerce [331], and so on. Therefore, inclusion of privacy issue in combinatorial t-way testing strategy domain is what is more welcome.…”

Section: Discussionmentioning

confidence: 99%

Review of Nature Inspired Metaheuristic Algorithm Selection for Combinatorial t-Way Testing

2022

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Metaheuristic algorithm is a very important area of research that continuously improve in solving optimization problems. Nature-inspired is one of the classifications of metaheuristic algorithm that are becoming more popular among researchers for the last decades. Nature-inspired metaheuristic algorithms contributes significantly to tackling many standing complex problems (such as combinatorial tway testing problem) and achieving optimal results. One challenge in this area is combinatorial explosion problem which always intended to find the most optimal final test suite that will cover all combinations of a given interaction strength. As such, test case generation is selected as the most active research area in combinatorial t-way testing as Non-deterministic Polynomial-time hardness (NP-hard). However, not all metaheuristics are effectively adopted in combinatorial t-way testing, some proved to be effective and thus have been popular tools selected for optimization whilst others are not adopted. This research paper outlines hundred and ten (110) outstanding nature-inspired metaheuristic algorithms for the last decades (2001 and 2021) such as Coronavirus Optimization Algorithm, Ebola Optimization Algorithm, Harmony Search, Tiki-Taka Algorithm, and so on. The purpose of this review is to revisit and carry out up-to-date review on these distinguished algorithms with their respective current state of use. This is to inspire future research in the field of combinatorial t-way testing for better optimization. Thus, we found that all metaheuristics has a simple structure to be adopted in different areas for becoming a more efficient in optimization. Finally, we suggested some future paths of investigation for researchers who are interested in the combinatorial t-way testing field to employ more of these algorithms by tuning their parameters setting to achieve an optimal solution.

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“…The supply chain vendor selection problem [50], the dry port location selection challenge in China [51], the thermal power plant location selection problem [52], the solar power plant location selection problem [53], and the wind power plant location selection problem [54] have all recently been solved by utilizing the fuzzy AHP method. Recently, some researchers have utilized neutrosophic functions for applications like scheduling [55][56][57][58] and for security enhancement [59][60][61][62][63][64][65][66]. Pairwise comparisons in fuzzy AHP are made using linguistic variables, which are represented as triangular numbers.…”

Section: Methodsmentioning

confidence: 99%

Human Centered Decision-Making for COVID-19 Testing Center Location Selection: Tamil Nadu—A Case Study

Subbaraj¹,

Madavan²,

Haseena³

et al. 2022

Computational and Mathematical Methods in Medicine

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This paper proposes a blend of three techniques to select COVID-19 testing centers. The objective of the paper is to identify a suitable location to establish new COVID-19 testing centers. Establishment of the testing center in the needy locations will be beneficial to both public and government officials. Selection of the wrong location may lead to lose both health and wealth. In this paper, location selection is modelled as a decision-making problem. The paper uses fuzzy analytic hierarchy process (AHP) technique to generate the criteria weights, monkey search algorithm to optimize the weights, and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to rank the different locations. To illustrate the applicability of the proposed technique, a state named Tamil Nadu, located in India, is taken for a case study. The proposed structured algorithmic steps were applied for the input data obtained from the government of India website, and the results were analyzed and validated using the government of India website. The ranks assigned by the proposed technique to different locations are in aligning with the number of patients and death rate.

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An approach for the protection of users’ book browsing preference privacy in a digital library

Cited by 13 publications

References 11 publications

Exploring consumers’ intent to use smart libraries with technology acceptance model

Exploring consumers’ intent to use smart libraries with technology acceptance model

Review of Nature Inspired Metaheuristic Algorithm Selection for Combinatorial t-Way Testing

Human Centered Decision-Making for COVID-19 Testing Center Location Selection: Tamil Nadu—A Case Study

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