METHODS OF INFORMATION SECURITY IN IOT-TECHNOLOGIES

This paper examines modern IoT systems, which are an integral part of technological progress. They have found application in industry, transport, smart home systems and other technical areas. However, the large number of connected devices, their limited computing resources and dependence on wireless networks make these systems extremely vulnerable to attacks aimed at violating the confidentiality, integrity and availability of data. The article considers a method for protecting information in IoT systems, which takes into account the vulnerabilities of wireless networks and devices such as IP cameras. Since most IoT devices operate in wireless networks, this makes them particularly vulnerable to denial of service attacks. Thanks to the use of multi-level authentication (using passwords and two-factor authentication), which allowed reducing the risk of unauthorized access to the device. A method for protecting information for IoT systems is considered, which takes into account the specific vulnerabilities and threats characteristic of these technologies. Threats, including attacks using WiFi jammers that cause denial of service and compromise of RTSP video streams, were investigated. The proposed information protection method involves a multi-level approach that includes data encryption, frequency switching to avoid signal blocking, and RTSP stream protection mechanisms. This information protection method is of great practical importance, as it can be used to ensure security in a wide range of IoT systems. Experimental testing, which was implemented using the example of the TP-Link Tapo C100 wireless IP camera, demonstrated the effectiveness of the proposed solutions in reducing the impact of attacks and ensuring reliable operation of IoT devices. As part of the research, a comprehensive understanding of the vulnerabilities of IoT systems to WiFi jammer-based attacks was achieved, and effective protection measures were developed to ensure the stability and security of such systems. Further research will allow improving existing protection methods and expanding the possibilities for their integration into more complex and large-scale IoT systems.