Security Application and Practice of Joint Computing in Industrial Control System

With the rapid development of industrial IoT in recent years, the secure operation of cloud computing systems has become an important topic, aiming to maximize the utilization of limited resources within the system and achieve efficient collaboration among tasks across various cloud computing nodes. Data security and privacy protection are central to the intelligence of industrial control systems (ICS). To enhance the efficiency and security of joint computing, this study, after detailing the cloud computing system, designs database table structures and employs methods such as data normalization to collect various IOT node data. After optimization, the data operational security of the integrated model is significantly enhanced. This research provides solutions for data optimization and security in ICS and offers a research method for the digital transformation of other industrial sectors.