Special Issue "Role of AI, Big Data, and Blockchain in IoT Devices"
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 8086
Interests: cloud computing; fog computing; software engineering; Internet of things and healthcare
Special Issues, Collections and Topics in MDPI journals
The Internet of Things (IoT) refers to a system of connected things/devices through a network that have the ability to transfer data without human intervention. IoT devices are increasing day by day, and it is estimated that they may reach 80 billion by 2025. This huge amount of data needs to be handled smartly to deduce the meaning of the data and employ it for decision making to promote growth in business. Big Data analytics and IoT need to go hand in hand. The data generated by IoT devices also need to be protected by providing security mechanisms to avoid their misuse. Data generated by IoT devices are highly susceptible to security hazards due to the complex and diverse nature of devices used to accomplish the task. IoT devices are vulnerable to attacks and, once compromised, can cause damage at higher levels because antivirus software cannot be installed on devices to protect them from malicious activities due to the low-memory and low-power nature of the devices. Blockchain technology is a distributed ledger that allows for the secure transfer of data between parties and can be effectively applied to ensure the security of devices. Artificial Intelligence refers to a set of tools that can mimic the intelligence of human beings when applied to the area of healthcare, retail, manufacturing, and banking. Machines can be enabled to learn from the data generated by IoT devices by building a machine learning model with the help of Artificial Intelligence algorithms. This provides the capability to classify patterns and uncover anomalies in the data generated by the devices and associated sensors.
In this Special Issue, we are open to contributions (research papers and review papers) exploring the role of AI, Big Data, and blockchain in IoT. This includes frameworks and architectures of IoT after merging of AI, Big Data and blockchain, emerging applications of AI, Big Data and blockchain in IoT, and implementation of security in IoT using blockchain technology. Contributions describing the applications of Big Data in alleviating natural disasters, pandemic diseases, ensuring road safety, and mitigating environmental pollution are also welcome.
Dr. Sukhpal Singh Gill
Prof. Priyanka Chawla
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 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. Sustainability 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.
- implementation of security in the Internet of Things
- blockchain application
- Artificial Intelligence
- Big Data analytics
- machine learning algorithms
- deep learning algorithms
- application of deep learning in IoT devices