The article discusses the analysis of wireless network security in the Internet of Things (IoT) and its applications. It highlights the importance of network security in IoT systems, which are increasingly used in various sectors. The study proposes a system for analyzing network security risks using big data, cloud computing, and other high-tech tools to identify potential security issues and notify users and relevant departments. The system is designed as a small program that uses minimal memory and continuously identifies network security threats. The study also emphasizes the need for users to develop a strong sense of network security awareness to reduce security accidents. The paper explores the use of channel estimation technology in improving wireless communication system security, particularly in Long Term Evolution (LTE) systems. It discusses the two-dimensional Discrete Cosine Transform (DCT) channel estimation approach and its simulation results, which show that this method provides more accurate estimation performance and can effectively address the error flat bottom issue in large delay channels. This enhances the communication and transmission security of LTE systems. The study also presents a design and operation of a risk investigation system for network security, which includes a platform architecture based on SOA and Android platform. The system comprises multiple layers, including the fundamental layer, data layer, user layer, application layer, and application support layer. The application support layer provides essential support for the application layer, while the application layer monitors network security status and sends results to users. The system includes modules for network security information management, hidden danger management, accident handling, interactive communication, and emergency rescue. These modules help in identifying, managing, and responding to network security threats. The hardware design of the system is also discussed, focusing on identifying network security risks and reducing the likelihood of security incidents. The study also examines the security features of LTE systems, emphasizing the importance of channel estimation in determining the system's performance. The paper concludes that integrating new technologies is crucial for the growth of IoT, and that secure channels, digital certificates, and blockchain-enabled IoT devices will play a significant role in future network security. The study also discusses the impact of incoming attacks on companies of various sizes and proposes a simulation-based approach to assess security threats in network environments.The article discusses the analysis of wireless network security in the Internet of Things (IoT) and its applications. It highlights the importance of network security in IoT systems, which are increasingly used in various sectors. The study proposes a system for analyzing network security risks using big data, cloud computing, and other high-tech tools to identify potential security issues and notify users and relevant departments. The system is designed as a small program that uses minimal memory and continuously identifies network security threats. The study also emphasizes the need for users to develop a strong sense of network security awareness to reduce security accidents. The paper explores the use of channel estimation technology in improving wireless communication system security, particularly in Long Term Evolution (LTE) systems. It discusses the two-dimensional Discrete Cosine Transform (DCT) channel estimation approach and its simulation results, which show that this method provides more accurate estimation performance and can effectively address the error flat bottom issue in large delay channels. This enhances the communication and transmission security of LTE systems. The study also presents a design and operation of a risk investigation system for network security, which includes a platform architecture based on SOA and Android platform. The system comprises multiple layers, including the fundamental layer, data layer, user layer, application layer, and application support layer. The application support layer provides essential support for the application layer, while the application layer monitors network security status and sends results to users. The system includes modules for network security information management, hidden danger management, accident handling, interactive communication, and emergency rescue. These modules help in identifying, managing, and responding to network security threats. The hardware design of the system is also discussed, focusing on identifying network security risks and reducing the likelihood of security incidents. The study also examines the security features of LTE systems, emphasizing the importance of channel estimation in determining the system's performance. The paper concludes that integrating new technologies is crucial for the growth of IoT, and that secure channels, digital certificates, and blockchain-enabled IoT devices will play a significant role in future network security. The study also discusses the impact of incoming attacks on companies of various sizes and proposes a simulation-based approach to assess security threats in network environments.