Dear Colleagues,

The gathering, processing, and analysis of the many types of organizational data have become more convenient and widespread as a result of the ongoing development of emerging technologies such as safe organizational systems, social networks, online commerce, and 5G systems. Because of this, personal information is frequently made more prone to being misused; consequently, it is becoming increasingly vital to investigate secure processes and optimized solutions for changing technologies.

The internet generates an incredible quantity of data, and the capacity to electronically store, transfer, and process that data is continuing to skyrocket along with the development of new technologies related to the internet. Big Data is a relatively new technology that has emerged in recent years as a response to this issue. Data security and privacy issues become more difficult to solve in the numerous processes that are involved due to the huge volume of data, including data collecting, storage, processing, and analysis. The general public, organizations, regulators, and data service providers all have a vested interest in, and a need for, cutting-edge technology and applications for maintaining the confidentiality and security of their customers' data.

This Special Issue, which strives to encourage high-quality submissions from the community, will focus on the preservation of data security and privacy in the context of Big Data processing as one of its areas of focus. We encourage contributions from a wide array of industries and types of data, such as business, finance, health, and mobility, because the issues and solutions around privacy protection are complicated and always changing (e.g., IoT, blockchain, social media, and networks).

Dr. Theyazn H.H. Aldhyani
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2300 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• big data privacy and ethics
• differential privacy
• artificial intelligence on cybersecurity
• federated analytics
• privacy-preserving databases
• privacy-preserving analytics
• secure outsourcing
• trustworthy machine learning
• zero-trust architecture for data security
• intrusion detection system