IOT and Blockchain-Based Cloud Model for Secure Data Transmission for Smart City

The widespread use of the Internet of Things (IoT) technology has both good and bad things about it. There must be a full and reliable security system in place for the Internet of Things so that things can work together in a safe way and intrusions cannot happen. There are now many more ways to keep the Internet of Things safe, thanks to a detecting system. As machine learning and deep learning technologies have become better, a lot of good intrusion detection systems have been made. This kind of study is covered. These two types of security are compared in this study. The current machine-based intrusion detection system is broken down into more detailed categories based on detection technology, data source, architecture, and operating method. These categories are as follows: It is talked about how IoT security will grow in the future and how to understand its intrusion detection system too. In this paper, a cloud-based blockchain security model has been presented for secure data transmission over IoT. © 2023 Liwa H. Al-Farhani et al.

Авторы
Al-Farhani L.H. , Alqahtani Y. , Alshehri H.A. , Martin R.J. , Lalar S. , Jain R.
Издательство
WILEY-HINDAWI
Язык
Английский
Статус
Опубликовано
Номер
3171334
Том
2023
Год
2023
Организации
  • 1 System Analysis, Control, and Information Processing, Academy of Engineering, RUDN University, Moscow, Russian Federation
  • 2 Faculty of Computer Science and Information Technology, Jazan University, Saudi Arabia
  • 3 Department of Computer Science and Applications, Kurukshetra University, Kurukshetra, India
  • 4 Department of Electrical and Computer Engineering, Wollega University, Nekemte, Ethiopia
Ключевые слова
Blockchain; Computer crime; Data communication systems; Data transfer; Deep learning; Intrusion detection; Learning systems; Smart city; 'current; Block-chain; Cloud modeling; Data-transmission; Detecting systems; Internet of things technologies; Intrusion Detection Systems; Learning technology; Machine-learning; Secure data; Internet of things
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