Secure and Privacy-Preserving IoT Systems for Next-Generation Healthcare

A special issue of IoT (ISSN 2624-831X).

Deadline for manuscript submissions: 30 April 2026 | Viewed by 23

Special Issue Editor


E-Mail Website
Guest Editor
Department of Computer Science, California State University, Dominguez Hills, Carson, CA 90747, USA
Interests: internet of things; heterogeneous wireless networks; cloud/edge computing; machine learning; cybersecurity and privacy preserving
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Special Issue Information

Dear Colleagues,

The integration of Internet of Things (IoT) devices into healthcare systems has transformed patient monitoring, diagnosis, and treatment. However, these advancements present significant challenges in safeguarding sensitive health data, especially when IoT devices are resource-constrained, energy-limited, and interconnected across diverse environments such as hospitals, smart homes, and telemedicine platforms. This Special Issue will focus exclusively on security and privacy innovations in healthcare IoT, differentiating itself from broader calls on IoT-based assistive platforms. We invite high-quality contributions that address lightweight and energy-efficient cryptographic solutions, privacy-preserving machine learning frameworks, resilient architectures against cyber-physical attacks, and novel compliance-aware data-sharing methods. Submissions may include research articles, review papers, and real-world case studies highlighting the secure deployment of healthcare IoT systems. By bringing together researchers from academia, healthcare, and industry, this Special Issue will advance the development of trustworthy, privacy-preserving, and regulation-compliant IoT ecosystems for next-generation healthcare. 

Dr. Ali Jalooli
Guest Editor

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. IoT is an international peer-reviewed open access quarterly 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 1400 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

  • secure IoT Architectures
  • privacy-preserving machine learning
  • homomorphic encryption for IoT
  • federated learning in healthcare
  • zero-knowledge proofs
  • Blockchain-enabled security
  • edge and fog security
  • post-quantum cryptography
  • secure data aggregation

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Published Papers

This special issue is now open for submission.
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