Write in a clean editor, then format for IoT in one click — DocuGuru applies the official MDPI template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
IoT is a peer-reviewed journal published by MDPI, covering IoT and Edge/Fog Computing, Network Security and Intrusion Detection, Blockchain Technology Applications and Security. Over its lifetime it has published 308 papers, which have received 4,008 citations.
| Publisher | MDPI |
|---|---|
| Reference style | Numbered (MDPI) Numbered — [1], [2] in the text 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. IoT 2023, 12, 45–58.
Formats any DOI in IoT style. No sign-up. |
| Publishes research in | IoT and Edge/Fog Computing Network Security and Intrusion Detection Blockchain Technology Applications and Security IoT Networks and Protocols Advanced Malware Detection Techniques |
| ISSN | 2624-831X |
| Citation impact (2-yr) | 5.46 |
| h-index | 34 |
| i10-index | 98 |
| Article processing charge | $1,082 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Eastern Michigan University |
| Journal website | www.mdpi.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
In today’s Industrial Internet of Things (IIoT) environment, where different systems interact with the physical world, the state proposed by the Industry 4.0 standards can lead to escalating vulnerabilities, especially when these systems receive data streams from multiple intermediaries, requiring multilevel security approaches, in addition to link encryption. At the same time taking into account…
The latest quantum computers have the ability to solve incredibly complex classical cryptography equations particularly to decode the secret encrypted keys and making the network vulnerable to hacking. They can solve complex mathematical problems almost instantaneously compared to the billions of years of computation needed by traditional computing machines. Researchers advocate the development of novel…
This survey investigates the contributions of research into the detection of ransomware malware using machine learning and deep learning algorithms. The main motivations for this study are the destructive nature of ransomware, the difficulty of reversing a ransomware infection, and how important it is to detect it before infecting a system. Machine learning is coming…
The number of IoT sensors and physical objects accommodated on the Internet is increasing day by day, and traditional Cloud Computing would not be able to host IoT data because of its high latency. Being challenged of processing all IoT big data on Cloud facilities, there is not enough study on automating components to deal…
The recent surge in Internet of Things (IoT) deployment has increased the pace of integration and extended the reach of the Internet from computers, tablets and phones to a myriad of devices in our physical world. Driven by the IoT, with each passing day, the Internet becomes more integrated with everyday life. While IoT devices…
