Data Security and Privacy in Cloud and IoT

Dear Colleagues,

Data security and privacy are important issues in computing systems. Particularly today, with the advances in computing technologies, determining how to defend digital information against malicious and accidental threats and protect data security and privacy in the context of the cloud, intelligence, and the Internet of Things (IoT) is a topic worthy of more research. Cloud computing provides virtual storage and access over Internet infrastructures, posing tremendous concerns about user data security and privacy. The IoT grows rapidly with the support of hardware, software, architecture, Internet, and artificial intelligence and enables numerous devices, sensors, and actuators to interconnect and exchange data. During the processes of interconnection and intercommunication, more attention to data security and privacy has been brought to researchers for improving the existing infrastructures, protocols, mechanisms, and technologies.   

The goal of this Special Issue is to collect a wide variety of research or literature papers written by experts to provide insights into the state-of-the-art technology, architecture, mechanism, protocol, application, and practice developed for data security and privacy, especially those based on the platforms of the cloud and the IoT. Our mission is to advance the existing body of knowledge by sharing contemporary, cutting-edge research in data security and privacy. Moreover, we aim to provide a platform for valuable work and research to address new, innovative, and state-of-the-art data security and privacy applications.

The topics of interest include but are not limited to:

• Security attack in the cloud/IoT
• Threat models and attack methodologies
• Security and privacy reviews in the cloud/IoT
• Security and protection architectures
• Data analysis security and privacy
• Authentication models
• Access control methods
• Cryptography protocols and algorithms
• Trustworthy models
• AI-empowered security
• Explainable AI
• Energy efficient solutions in the cloud/IoT
• Security applications and management
• Risk management for security and privacy
• Zero-trust models

Dr. Ning Yu
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 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 security
• data privacy
• security attack
• privacy protection
• cloud computing
• internet of things
• authentication
• authorization
• access control
• cryptography
• encryption and decryption
• artificial intelligence
• deep learning
• machine learning
• zero trust
• AI-empowered security
• security threat
• trustworthy AI