An Automated IoT Network Threat Detection and Attack Surface Analysis System
Abstract
The issue of network security is rising substantially, in connection with the development of the Internet of Things (IoT) innovations. The most installed one with loose settings is those which have surveillance cameras, routers, and smart home systems, and can be penetrated and were left unrestrained. Although they can represent devices and open ports, traditional network scanning programs like Nmap and Netdiscover will provide raw data, which would need to be interpreted manually and therefore would be time-consuming and prone to error.
To enhance the network security analysis, the proposed research will introduce an automated automation, which will involve smart analysis and scanning networks. There will be the automatic scanning of the WiFi network connected to the system when any change is detected in the network. The scan obtained is utilized in the process of locating the actively used devices and ports that are open. Intelligent Decryption of the results is then performed with the help of a parameter of analysis to find the degree of risk in the network.
The system has a capability to automatically disconnect networks that are considered dangerous and give real-time notification in accordance with risk evaluation. This enhances increased response rate and less human intervention. The proposed strategy can be implemented since the approach converts quite complicated technical data into usable data. The results indicate that the implementation of automation and smart analysis can be used significantly to enhance network security surveillance in IoT environments.
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