Artificial Intelligence for Security and Privacy in Internet of Things
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 473
Please contact the Guest Editor or the Section Managing Editor at ([email protected]) for any queries.
Special Issue Editors
Interests: artificial intelligence; network security; anomaly detection; deep learning; predictive analytics; machine learning; internet of things (IoT)
Interests: industrial internet of things (IIoT); industry 4.0; cooperative distributed systems; data analysis; predictive maintenance; digital twin; administration shells; blockchain
Special Issue Information
Dear Colleagues,
Internet of Things (IoT), a paradigm for modern infrastructure, refers to a wide variety of interconnected devices over the internet (wired or wireless). With the deployment of IoT, unprecedented changes have happened in many domains, such as manufacturing, transportation or mobility, energy infrastructure, healthcare, supply chains, etc. Along with its many benefits, IoT has raised some important concerns, such as security and privacy, to these domains. Unconscious use and inappropriate security practices are key factors that lead to such concerns. In many scenarios, IoT devices are considered to be the gateway to the infrastructure vulnerability. Despite many existing mechanisms, the attackers always look for new ways to compromise security and privacy. This leads us to develop novel mechanisms to brace us against such attacks. Artificial intelligence (AI) approaches, such as machine learning and deep learning, are proven to be efficient for this purpose.
This Special Issue aims to bring together the experts from various industries and academia around the world to contribute their knowledge to the development of security and privacy strategies using artificial intelligence for Internet of Things. Contributions may include but are not limited to the development of efficient algorithms, implementations and models that are associated with the key security attributes, confidentiality, integrity and availability (CIA).
Dr. Sasanka Potluri
Prof. Dr. Christian Diedrich
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 2600 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
- IoT
- Security
- Privacy
- Data analysis.
