Identification and classification based on the architecture of IoT network test platforms in Iran
محل انتشار: ششمین کنفرانس بین المللی محاسبات نرم
سال انتشار: 1404
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 8
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شناسه ملی سند علمی:
CSCG06_154
تاریخ نمایه سازی: 4 مهر 1405
چکیده مقاله:
Since the development of innovative technology and new concepts and services, including the Internet of Things, have been established. The Internet of Things purpose is to create an intelligent environment via the use of intelligent objects, objects, or automated devices designed to detect and analyze data and then send that information over the web to allow for decision-making. This kind of decision is frequently used to handle concerns that include mitigating climate change, easing transportation difficulties, managing healthcare, acquiring products and services, and automating a business's processes. As with most Internet of Things issues, security is at the forefront. While sensors may gather sensitive data, for example, what an individual does in their own house. Gaining and maintaining customer trust is reliant on the reliability of this information. However, with few exceptions, the data security of the IoT has thus far been very vulnerable. A lot of IoT devices pay less attention to fundamental security requirements, such as ensuring that sensitive data is encrypted. In this article, the authors have been investigating artificial intelligence techniques and intelligent decision-making to find a categorization strategy for IoT tests in Iran.
کلیدواژه ها:
نویسندگان
Mehdi Medadian
Department of Computer, Be.C., Islamic Azad University, Behbahan, Iran
Davood Mokhlesi Ghanavati
Department of Computer, Be.C., Islamic Azad University, Behbahan, Iran
Khosro Fardad
Department of Computer, Be.C., Islamic Azad University, Behbahan, Iran