Data Security in IoT Networks
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 31 October 2024 | Viewed by 80
Special Issue Editors
Interests: data privacy in big data; privacy-preserving data analytics; privacy-preserving social network data; improving privacy awareness in data sharing
Interests: data profiling; data privacy; data stream mining; human–computer interaction; social network analysis; visual languages; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Internet of Things (IoT) has rapidly gained popularity in recent years and has become an integral part of our daily lives. IoT has revolutionized how we interact with technology, from smartphones connected to fitness bands and smartwatches to software applications (apps) that control various household appliances such as thermostats, lights, and security systems. As the IoT continues to grow, data security has become a significant concern. However, deploying effective data security solutions for IoT environments is a complex task due to the anonymization and privatization aspects to be managed.
This Special Issue will publish high-quality and original research articles addressing data security in IoT networks. In particular, research topics will include the definition of data anonymization strategies for anonymizing sensitive data in IoT environments, privatization strategies to privatize data gathered from IoT devices, privacy-preserving strategies for social network data accessed through IoT devices, strategies and methodologies to help users be aware of privacy threats linked to the mismanagement of sensitive data over IoT devices, and prevention/protection policies in IoT devices.
Dr. Domenico Desiato
Dr. Stefano Cirillo
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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 2400 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.
Keywords
- IoT data security
- IoT anonymization
- IoT privatization
- privacy-preserving social network data in IoT environments
- IoT security prevention
- IoT data analysis
- IoT protection policies
- privacy awareness in IoT devices
