Security optimization algorithm for public information platform of internet of things based on open architecture

At present, with the rapid growth of electronic information and the continuous improvement of computing power, the Internet of Things (IoT) has become increasingly widely used in practical development. In the field of Public Information (PI), the IoT public Information platform has made good progress and promoted the scientific growth of public information and resource management. However, affected by its sharing and openness, its information and data security also faces large challenges. Maintaining the platform's information security and improving its reliability have become the primary task in the current public utility construction. In order to solve this dilemma, based on the research of the platform characteristics, information security issues, and the development status of the platform, combined with the open architecture, this paper conducted an in-depth study of the security optimization algorithm of the IoT public Information platform. In order to verify the security optimization algorithm effect of the IoT public Information platform based on the open architecture, this paper took an IoT public Information platform as the test environment and carried out simulation tests on its usability, execution efficiency and protection. The test results showed that, in terms of protection, the average security protection degree of the security optimization algorithm based on open architecture under 80 security risk processing requests was about 86.70%; the average security protection degree of the traditional algorithm under 80 security risk processing requests was about 75.60%. From the test results, the security optimization algorithm of IoT public Information platform based on open architecture has stronger operability.