IoT Security, Privacy, Resiliency and Trust: Challenges, New Trends and Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".
Deadline for manuscript submissions: closed (1 September 2022) | Viewed by 2472
Special Issue Editors
Interests: network security, collaborative computing; nature-inspired computing and communication; internet of things; cloud computing
Interests: human–computer interaction; visual analytics; Internet of Things; extended reality
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the rapid evolution of the Internet of Things (IoT), numerous new applications, services and business opportunities have arisen. Over the past two decades, significant advancements in IoT and IoT-empowered cyber-physical systems have been witnessed, spanning almost every domain from transportation to agriculture, construction and smart cities, to healthcare, defense and national security. These systems are characterized as complex and sensitive with a highly dynamic, heterogeneous and distributed nature at varied scales. This requires efficient, robust, and cooperative monitoring, measurement, control and management for communication and data processing. As governments, organizations and individuals become increasingly reliant on these systems, it becomes even more crucial to understand and mitigate their vulnerabilities, and maintain their security, trustworthiness, privacy preservation and resilience to attacks whilst continuing to achieve effectiveness and performance goals. These issues raise new design and operational challenges that require innovative and creative sustainable solutions for thwarting cyber-physical crimes and attacks.
This Special Issue aims to serve as an archival reference for researchers and practitioners in the field. We are seeking research papers that provide a timely review of the essential fundamentals, latest developments and technologies; report on newly discovered vulnerabilities, threats, and attacks and present innovative methodologies, models, algorithms, frameworks, simulation studies and systems, focusing on the diverse challenges in IoT security, privacy, trust and resiliency.
Prof. Dr. Mohamed Eltoweissy
Prof. Dr. Denis Gracanin
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at mdpi.longhoe.net 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
- Internet of Things
- network security
- resilience
- trust management
- IoT privacy
- IoT application security
- IoT in the cloud
- cyber-physical systems
- secure autonomous systems
- resilient IoT platforms
- nature-inspired IoT security
- IoT-enabled security
- AI-enabled IoT security
- IoT vulnerabilities and attacks
