Using Combined Data Encryption and Trusted Network Methods to Improve the Network Security of the Internet of Things Applications

With the integration of big data and artificial intelligence, the Internet of Things has rapidly developed as the foundation for collecting data. The data collected by Internet of Things devices is mostly sensitive information, but limited resources can easily lead to data leakage. Therefore, this study adopts a combination of data encryption and trusted networks to improve the network security of the Internet of Things. This study proposes an Internet of Things network security system based on an improved SM9 encryption algorithm and iTLS security protocol. The system uses a key generation center to generate and distribute keys to complete information encryption and decryption, and identity authentication is carried out through dynamic keys. The results indicated that the total time for key generation, encryption, and decryption based on the SM9-iTLS network security system was 3.63 seconds. The total time for key generation, signature, and signature verification in the system was 3.65 seconds, which is better than other Internet of Things network security systems, and it also had better network resource occupancy and latency than other systems. The Internet of Things network security system based on improved SM9-iTLS can not only improve the security of information transmission among Internet of Things devices but also optimize the efficiency of information transmission. The research results have a certain promoting effect on developing the Internet of Things information security field.