Advances in Secure Data Privacy Protection Technologies

Dear Colleagues,

The rapid growth of data driven electronic systems including cloud computing platforms, IoT infrastructures, mobile and embedded devices, cyber–physical systems, and AI enabled services has introduced significant challenges in safeguarding data privacy, integrity, and authenticity. As these systems increasingly operate in highly distributed and often untrusted environments, the need for robust and scalable data protection mechanisms across the entire data lifecycle has become more critical than ever. This Special Issue, Advances in Secure Data Privacy Protection Technologies, aims to bring together recent research efforts that address these challenges and strengthen the resilience of modern electronic ecosystems.

The primary focus of this Special Issue is on emerging technologies, architectures, and theoretical developments that enhance data security and privacy in complex, interconnected systems. The scope spans a broad range of topics, from foundational cryptographic primitives to advanced system level protections and intelligent defense mechanisms. We seek contributions that address confidentiality, data integrity, message authentication, secure computation, identity assurance, and privacy preserving data analytics. The purpose of this Special Issue is to provide a multidisciplinary platform for researchers and practitioners to share innovative ideas, bridge theoretical advances with practical implementations, and propose scalable solutions suitable for real world electronic environments.

The existing literature has established strong foundations in classical cryptography, secure communication protocols, and system centric security mechanisms. However, emerging paradigms such as federated learning, decentralized and edge-based architectures, AI driven analytics, and post quantum threat models introduce new risks that extend beyond the capabilities of traditional approaches. This Special Issue complements and extends prior work by presenting integrated perspectives that combine cryptographic rigor, hardware assisted security, privacy enhancing computation, and intelligent cyber defense strategies. By doing so, it aims to advance current research beyond established paradigms and to highlight forward looking approaches tailored to next generation electronic systems.

Topics of Interest

• Data integrity, authenticity, and trusted verification mechanisms;
• Cryptographic hash functions, message authentication codes, and integrity preserving architectures;
• Privacy preserving computation including homomorphic encryption, secure multiparty computation, and
• differential privacy;
• Federated learning and secure distributed machine learning;
• Post quantum and lightweight cryptographic algorithms;
• Secure identity management, biometrics, and access control;
• Blockchain and distributed ledger-based trust models;
• Security and privacy in IoT, edge and fog computing, and cyber physical systems;
• Trusted execution environments, secure enclaves, and hardware assisted security;
• Secure data sharing frameworks for healthcare, finance, smart cities, and autonomous systems;
• AI and machine learning-based threat detection, anomaly detection, and adversarial defense;
• Risk modeling, cyber threat intelligence, and privacy impact assessment.

Dr. Sanmeet Kaur
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 250 words) can be sent to the Editorial Office for assessment.

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. Electronics 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.

• data privacy
• data integrity
• message authentication
• cryptographic hash functions
• secure computation
• homomorphic encryption
• differential privacy
• federated learning
• post quantum cryptography
• blockchain security
• IoT privacy
• trusted execution environments
• cybersecurity
• privacy preserving machine learning