Advancing Security and Privacy in the Internet of Things

Dear Colleagues,

In recent years, the landscape of Internet of Things (IoT) technologies has rapidly evolved, significantly shaped by the integration of groundbreaking advancements such as artificial intelligence (AI), 5G internet, and edge computing. As these technologies mature and permeate various sectors, they bring to the fore complex security and privacy challenges that are pivotal to the operation and trustworthiness of IoT systems.

IoT networks, characterized by their inherent heterogeneity, present unique vulnerabilities due to the variety of devices, each with distinct hardware profiles, software configurations, and communication protocols. This diversity complicates the formulation and implementation of standardized security protocols, leaving systems susceptible to cyber attacks. The intricate and interconnected nature of these devices further exacerbates security issues, creating multiple vectors for cyber threats that can lead to unauthorized access, data breaches, and other forms of malicious attacks.

Moreover, as IoT devices are increasingly being employed to gather and process sensitive personal and business information, it is crucial to establish comprehensive security frameworks. Such frameworks must encompass robust measures across the entire lifecycle of IoT products, including but not limited to, sophisticated encryption techniques, stringent authentication processes, and consistent security patches and updates.

This Special Issue aims to address these paramount concerns by assembling a collection of high-quality research and review articles. These contributions will delve into multifaceted challenges and explore innovative solutions critical for enhancing security and privacy in the realm of IoT devices and computing. In doing so, this issue seeks to contribute to the advancement of knowledge and foster the development of more resilient IoT systems.

The particular topics of interest include, but are not limited to, the following:

• Machine Learning and AI for IoT Security;
• Secure Communication Protocols for IoT Networks;
• IoT Device Authentication Mechanisms;
• Privacy-Preserving Data Collection and Processing for IoT Networks;
• Edge Computing Security;
• Blockchain and Distributed Ledger Technologies (DLT) for IoT Security;
• IoT Device Lifecycle Security;
• Physical Security of IoT Devices;
• Data Security for IoT;
• Threat Modeling and Risk Assessment for IoT environments;
• Crypto Elements for IoT Security;
• Encryption Algorithms for IoT.

Dr. Ning Yang
Dr. Abdur R. Shahid
Guest Editors

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 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.

• IoT
• security
• privacy
• edge computing security
• blockchain
• authentication
• encryption
• machine learning
• security algorithms
• data security
• crypto-elements