A privacy-preserving method for publishing data with multiple sensitive attributes

The overgeneralisation may happen because most studies on data publishing for multiple sensitive attributes(SAs)have not considered the personalised privacy requirement.Furthermore,sensitive information disclosure may also be caused by these personalised requirements.To address the matter,this article develops a personalised data publishing method for multiple SAs.According to the requirements of individuals,the new method partitions SAs values into two categories:private values and public values,and breaks the association between them for privacy guarantees.For the private values,this paper takes the process of anonymisation,while the public values are released without this process.An algorithm is designed to achieve the privacy mode,where the selectivity is determined by the sensitive value frequency and undesirable objects.The experimental results show that the proposed method can provide more information utility when compared with previous methods.The theoretic analyses and experiments also indicate that the privacy can be guaranteed even though the public values are known to an adversary.The overgeneralisation and privacy breach caused by the personalised requirement can be avoided by the new method.

The Subscription Economy and Its Contribution to the Global Economy

The subscription economy has become a dominant influence in the current business environment,fundamentally transforming the manner in which organizations interact with customers and create income.This article examines the substantial influence of the subscription economy on the worldwide economy,evaluating its effects on different industries and marketplaces.The research examines relevant literature and case studies to identify the main factors,difficulties,and possibilities related to the subscription economy.Moreover,its objective is to examine the consequences for firms,customers,and economic expansion,elucidating the possibility of continuous value generation and innovation.

Research on the Audio Publishing of Classical Books Based on the Theory of Business Model Canvas: Taking Romance of the Three Kingdoms in Digital Audio Platforms as an Example

Visual media have dominated sensory communications for decades,and the resulting“visual hegemony”leads to the call for the“auditory return”in order to achieve a holistic balance in cultural acceptance.Romance of the Three Kingdoms,a classic literary work in China,has received significant attention and promotion from leading audio platforms.However,the commercialization of digital audio publishing faces unprecedented challenges due to the mismatch between the dissemination of long-form content on digital audio platforms and the current trend of short and fast information reception.Drawing on the Business Model Canvas Theory and taking Romance of the Three Kingdoms as the main focus of analysis,this paper argues that the construction of a business model for the audio publishing of classical books should start from three aspects:the user evaluation of digital audio platforms,the establishment of value propositions based on the“creative transformation and innovative development”principle,and the improvement of the audio publishing infrastructure to ensure the healthy operation and development of the digital audio platforms and consequently improve their current state of development and expand the boundaries of cultural heritage.

Technological Innovation and Development of the Publishing Industry: The Challenging Digital Transformation of Publishing Houses in Cameroon

In the digital age, performance-oriented publishing houses utilize digital tools to optimize their editorial activities. This optimization affects both editorial practices and products in terms of content and form. These products, now accessible through various media, bring significant changes, while the editorial function undergoes a metamorphosis due to digital exposure. In Cameroon, the book sector is predominantly focused on school textbooks, a legacy from the colonial period. This study investigates the impact of technological innovation on Cameroonian publishing by examining the processes of content selection, legitimization, and dissemination in the digital age. Using the sociology of technology as a framework, we hypothesize an interrelationship between the dominance of textbook publishing and the delayed digital transformation of publishing houses in Cameroon. To explore this hypothesis, we conducted direct observations, interviews with key industry stakeholders, and an extensive analysis of digital adoption metrics within the publishing sector. Our research reveals that the historical focus on educational publishing has created structural and cultural barriers to embracing digital innovations. Moreover, limited infrastructure and a lack of digital literacy among publishing professionals further hinder the transition. Despite these challenges, there are emerging opportunities for digital transformation, particularly in diversifying content and expanding access through digital platforms. Our findings indicate that a strategic shift towards embracing digital tools and improving infrastructure could significantly enhance the efficiency and reach of Cameroonian publishing houses. By addressing the specific challenges identified in our study, the industry can leverage digital technologies to foster a more inclusive, dynamic, and resilient publishing environment. This study provides a detailed examination of the specificities of digital transformation in Cameroonian publishing, offering insights for policymakers and industry stakeholders aiming to promote technological innovation in the sector.

The Book Publishing and Analysis of Modern Peking University Library

The paper is based on literature search,introducing and analyzing the book publishing situation of modern Peking University Library from the perspective of the publisher being Peking University Library and its predecessor.It is pointed out that the majority of the book printing methods published by the modern Peking University Library are lead printing,and among the types of Chinese library classification,catalogue of library collections is the most common.

Other Cities’Distribution Institutions for Publishing Books in Modern Chinese Libraries:Taking Huating Bookstore,the Shanghai General Distribution Office of Modern Zhejiang Library,as an Example

Many modern Chinese libraries have established distribution agencies in other cities to distribute books published or sold on consignment.Huating Bookstore,which was once the Shanghai General Distribution Office of Zhejiang Library in modern times,is one of them.On the basis of a brief description of modern Zhejiang Library and its book publishing,as well as the overview of Huating Bookstore,the paper introduces and analyzes the ZPL Publishing Book Catalogue sent by Huating Bookstore,and the ZPL publishing and selling consignment books issued by Huating Bookstore.It points out that Huating Bookstore is a bridge between the ZPL located in Hangzhou and various retail ZPL publishing bookstores in Shanghai.Their production and sales relationship is a mutually beneficial one.

Analysis of the Books Issued by Yadong Library, Published by Peking University Publishing Department: Taking Several Bibliography Advertisements Carried in Newspapers and Magazines From 1919-1922 as Examples

Based on several bibliographic advertisements carried in newspapers and magazines from 1919 to 1922 for books published by Peking University Publishing Department,and issued by Yadong Library,the paper analyzes the characteristics of the books published by Peking University Publishing Department during this period,and points out that Yadong Library entered its golden period of development due to move from the alley to the main road and obtain the management rights of the books published by Peking University Publishing Department.

A Method of Eliminating Information Disclosure in View Publishing

Although it is convenient to exchange data by publishing view, but it may disclose sensitive information. The problem of how to eliminate information disclosure becomes a core problem in the view publishing process. In order to eliminate information disclosure, deciding view security algorithm and eliminating information disclosure algorithm are proposed, and the validity of the algorithms are proved by experiment. The experimental results showing, deciding view security algorithm can decide the safety of a set of views under prior knowledge, and eliminating information disclosure algorithm can eliminate disclosure efficiently.

A New Anonymity Model for Privacy-Preserving Data Publishing

Privacy-preserving data publishing （PPDP） is one of the hot issues in the field of the network security. The existing PPDP technique cannot deal with generality attacks, which explicitly contain the sensitivity attack and the similarity attack. This paper proposes a novel model, （w,γ, k）-anonymity, to avoid generality attacks on both cases of numeric and categorical attributes. We show that the optimal （w, γ, k）-anonymity problem is NP-hard and conduct the Top-down Local recoding （TDL） algorithm to implement the model. Our experiments validate the improvement of our model with real data.

A Dynamic Social Network Data Publishing Algorithm Based on Differential Privacy

Social network contains the interaction between social members, which constitutes the structure and attribute of social network. The interactive relationship of social network contains a lot of personal privacy information. The direct release of social network data will cause the disclosure of privacy information. Aiming at the dynamic characteristics of social network data release, a new dynamic social network data publishing method based on differential privacy was proposed. This method was consistent with differential privacy. It is named DDPA (Dynamic Differential Privacy Algorithm). DDPA algorithm is an improvement of privacy protection algorithm in static social network data publishing. DDPA adds noise which follows Laplace to network edge weights. DDPA identifies the edge weight information that changes as the number of iterations increases, adding the privacy protection budget. Through experiments on real data sets, the results show that the DDPA algorithm satisfies the user’s privacy requirement in social network. DDPA reduces the execution time brought by iterations and reduces the information loss rate of graph structure.

An “impact” in publishing

On 20 June 2019, Clarivate Analytics (2019) announced its Journal Citation Reports of 2018. From this, Zoological Research (ZR) received its first impact factor based on citations in 2018 for indexed papers published during 2016 to 2017.

Using Box-Jenkins Models to Forecast Mobile Cellular Subscription

In this paper, the Box-Jenkins modelling procedure is used to determine an ARIMA model and go further to forecasting. The mobile cellular subscription data for the study were taken from the administrative data submitted to the Zambia Information and Communications Technology Authority (ZICTA) as quarterly returns by all three mobile network operators Airtel Zambia, MTN Zambia and Zamtel. The time series of annual figures for mobile cellular subscription for all mobile network operators is from 2000 to 2014 and has a total of 15 observations. Results show that the ARIMA (1, 2, 1) is an adequate model which best fits the mobile cellular subscription time series and is therefore suitable for forecasting subscription. The model predicts a gradual rise in mobile cellular subscription in the next 5 years, culminating to about 9.0% cumulative increase in 2019.

Medical data publishing based on average distribution and clustering

Most of the data publishing methods have not considered sensitivity protection,and hence the adversary can disclose privacy by sensitivity attack.Faced with this problem,this paper presents a medical data publishing method based on sensitivity determination.To protect the sensitivity,the sensitivity of disease information is determined by semantics.To seek the trade-off between information utility and privacy security,the new method focusses on the protection of sensitive values with high sensitivity and assigns the highly sensitive disease information to groups as evenly as possible.The experiments are conducted on two real-world datasets,of which the records include various attributes of patients.To measure sensitivity protection,the authors define a metric,which can evaluate the degree of sensitivity disclosure.Besides,additional information loss and discernability metrics are used to measure the availability of released tables.The experimental results indicate that the new method can provide better privacy than the traditional one while the information utility is guaranteed.Besides value protection,the proposed method can provide sensitivity protection and available releasing for medical data.

China Internet Based Academic Journals Digital Publishing Models Study

The research takes three fundamental Internet Academic Journals (IAJ), which are China National Knowledge Infrastructure (CNKI), Chongqing VIP Information Co., Ltd. (VIP) and Beijing Wanfang Data Co., Ltd. (WFD), as subjects to discuss digital publishing mechanism innovations for China’s science information communication system. After introducing main Internet environment, comparing journal characteristics, and explaining publishing & operation modes of the IAJs, the paper analyses important issues such as redundant contents, digitalization issues, illegal journals, standards construction, copyright and benefit distribution. By learning from research practices and open access, a new benefit distribution and copyright management mode based on the Third Party Agency (TPA) is proposed. Future IAJs operation modes are also discussed from the view of scientific research innovation and state of the art platform construction.

Perspectives from a publishing ethics and research integrity team for required improvements

It is imperative that all stakeholders within the research ecosystem take responsibility to improve research integrity and reliability of published research.Based on the unique experiences of a specialist publishing ethics and research integrity team within a major publisher,this article provides insights into the observed trends of misconduct and how those have evolved over time,and addresses key actions needed to improve the interface between researchers,funders,institutions and publishers to collectively improve research integrity on a global scale.

Notice Soliciting Subscription to “Journal of Central South University of Technology”

Central South University (CSU) is one of Chinese key universities,which is affiliated with the Ministry of Education.

Liver Transplantation (in Chinese), revised edition, Edited by Shu-Sen Zheng. Pp843. Beijing: People's Medical Publishing House, 2012. ISBN: 978-7-117-15494-9/R.15495. ￥RMB 158

Liver Transplantation (in Chinese), revised edition, edited by Professor Shu-Sen Zheng and prefaced by Professor Guo-Wei Sang, has just been published. The revised edition is mainly based on the clinical practice of the Liver Transplant Center, the First Affiliated Hospital, Zhejiang University and the experience

Attacks on Anonymization-Based Privacy-Preserving: A Survey for Data Mining and Data Publishing

Data mining is the extraction of vast interesting patterns or knowledge from huge amount of data. The initial idea of privacy-preserving data mining PPDM was to extend traditional data mining techniques to work with the data modified to mask sensitive information. The key issues were how to modify the data and how to recover the data mining result from the modified data. Privacy-preserving data mining considers the problem of running data mining algorithms on confidential data that is not supposed to be revealed even to the party running the algorithm. In contrast, privacy-preserving data publishing (PPDP) may not necessarily be tied to a specific data mining task, and the data mining task may be unknown at the time of data publishing. PPDP studies how to transform raw data into a version that is immunized against privacy attacks but that still supports effective data mining tasks. Privacy-preserving for both data mining (PPDM) and data publishing (PPDP) has become increasingly popular because it allows sharing of privacy sensitive data for analysis purposes. One well studied approach is the k-anonymity model [1] which in turn led to other models such as confidence bounding, l-diversity, t-closeness, (α,k)-anonymity, etc. In particular, all known mechanisms try to minimize information loss and such an attempt provides a loophole for attacks. The aim of this paper is to present a survey for most of the common attacks techniques for anonymization-based PPDM & PPDP and explain their effects on Data Privacy.

Factors Influencing Cities’ Publishing Efficiency

Purpose:Recently,a vast number of scientific publications have been produced in cities in emerging countries.It has long been observed that the publication output of Beijing has exceeded that of any other city in the world,including such leading centres of science as Boston,New York,London,Paris,and Tokyo.Researchers have suggested that,instead of focusing on cities'total publication output,the quality of the output in terms of the number of highly cited papers should be examined.However,in the period from 2014 to 2016,Beijing produced as many highly cited papers as Boston,London,or New York.In this paper,another method is proposed to measure cities'publishing performance by focusing on cities'publishing efficiency(i.e.,the ratio of highly cited articles to all articles produced in that city).Design/methodology/approach:First,554 cities are ranked based on their publishing efficiency,then some general factors influencing cities'publishing efficiency are revealed.The general factors examined in this paper are as follows:the linguistic environment of cities,cities'economic development level,the location of excellent organisations,cities'international collaboration patterns,and their scientific field profile.Furthermore,the paper examines the fundamental differences between the general factors influencing the publishing efficiency of the top 100 most efficient cities and the bottom 100 least efficient cities.Findings:Based on the research results,the conclusion can be drawn that a city's publishing efficiency will be high if meets the following general conditions:it is in a country in the Anglosphere-Core;it is in a high-income country;it is home to top-ranked universities and/or world-renowned research institutions;researchers affiliated with that city most intensely collaborate with researchers affiliated with cities in the United States,Germany,England,France,Canada,Australia,and Italy;and the most productive scientific disciplines of highly cited articles are published in high-impact multidisciplinary journals,disciplines in health sciences(especially general internal medicine and oncology),and disciplines in natural sciences(especially physics,astronomy,and astrophysics).Research limitations:It is always problematic to demarcate the boundaries of cities(e.g.,New York City vs.Greater New York),and regarding this issue there is no consensus among researchers.The Web of Science presents the name of cities in the addresses reported by theauthors of publications.In this paper cities correspond to the spatial units between the country/state level and the institution level as indicated in the Web of Science.Furthermore,it is necessary to highlight that the Web of Science is biased towards English-language journals and journals published in the field of biomedicine.These facts may influence the outcome of the research.Practical implications:Publishing efficiency,as an indicator,shows how successful a city is at the production of science.Naturally,cities have limited opportunities to compete for components of the science establishment(e.g.,universities,hospitals).However,cities can compete to attract innovation-oriented companies,high tech firms,and R&D facilities of multinational companies by for example establishing science parks.The positive effect of this process on the city's performance in science can be observed in the example of Beijing,which publishing efficiency has been increased rapidly.Originality/value:Previous scientometric studies have examined cities'publication output in terms of the number of papers,or the number of highly cited papers,which are largely size dependent indicators;however this paper attempts to present a more quality-based approach.