Novel Techniques and Challenges in Data Anonymization
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 2757
Special Issue Editor
Special Issue Information
Dear Colleagues,
Data generation and sharing have shown a drastic increase in the ongoing decade due to recent technologies such as the Internet of Things (IoT) and Big Data technologies. The reason behind this is the growing sources of data due to huge research and smart revolution (smart grids, cities, devices, credit card transactions, social media activities, or Electronic Health Records (EHR), etc.). The collected data may contain private information (e.g., name, contact number, social security number) about the data owners. In today’s modern society, the leakage of such private information is a major concern. Recently in 2019, it has been reported that 41 million healthcare records were breached. Moreover, another report indicates that the U.S. healthcare department lost $6.2 billion annually due to private information leakage in EHR. However, sharing user data is also very important to government agencies and private stakeholders for latest research and policy-making. Therefore, the purpose of Privacy-Preserving Data Publishing (PPDP) methods is to keep the privacy of an individual before publishing the data using anonymization techniques.
In this regard, due to the ongoing demand for IoT and Big Data technologies, the PPDP has become an active research area.
Dr. Adeel Anjum
Guest Editor
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Keywords
- big data for IoT
- IoT towards COVID-19
- IoT in the healthcare system
- security and privacy in IoT system
- machine learning and artificial intelligence in IoT system
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