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

Autor:	Al-Farhani, Liwa H., Alqahtani, Yahya, Alshehri, Hamdan Ali, Martin, R. John, Lalar, Sachin, Jain, Rituraj
Předmět:	SMART cities DATA transmission systems INTERNET of things DEEP learning MACHINE learning DATA modeling SECURITY systems INTELLIGENT transportation systems
Zdroj:	Security & Communication Networks; 5/20/2023, p1-10, 10p
Abstrakt:	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. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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