Advancements in Industry 4.0 brought tremendous improvements the healthcare sector, such as better quality of treatment, enhanced communication, remote monitoring, and reduced cost. Sharing data with providers is crucial for harnessing benefits improvements. In general, holds sensitive information about individuals. Hence, sharing challenging because various security privacy issues. According t...

In many organizations large amount of personal data are collected and analyzed by the data miner for the research purpose. However, the data collected may contain sensitive information which should be kept confidential. The study of Privacypreserving data publishing (PPDP) is focus on removing privacy threats while, at the same time, preserving useful information in the released data for data m...

Anonymization is a practical solution for preserving user’s privacy in data publishing. Data owners such as hospitals, banks, social network (SN) service providers, and insurance companies anonymize their before publishing it to protect the of users whereas anonymous remains useful legitimate information consumers. Many anonymization models, algorithms, frameworks, prototypes have been proposed...

Now a day’s society is experiencing very good growth in the count and variety of data collections having person-specific information as network connectivity, computer technology & disk storage space become increasingly affordable. Large databases is in use today’s society. The large amount of data available means that it is helpful to learn lot of individual information from public data. While ...

The development of the Internet Things (IoT) and 5th generation wireless network (5G) is set to push smart agriculture next level since massive real-time data can be collected monitor status crops livestock, logistics management, other important information. Recently, COVID-19 has attracted more human attention food safety, which also a positive impact on market share. However, security privacy...

Huge volume of data from domain specific applications such as medical, financial, telephone, shopping records and individuals are regularly generated. Sharing of these data is proved to be beneficial for data mining application. Since data mining often involves data that contains personally identifiable information and therefore releasing such data may result in privacy breaches. On one hand su...

The mashup of microdata sources to form a data hub must fulfill a set of privacy preservation anonymity requirements that hinder data analysts to figure out sensitive information of the source datasets. This is relevant in a number of fields that include smart cities, electronic healthcare records and others. Linked data publishing architectures are not designed to adapt well to the requirement...