IIoT sensor helps in smart automation of industry, which fills gaps between the industry and technology. The proposed method aims to assets tracking the customer to identify the product with the help of GPS and where the method also identifies the problem in the machine which, in turn, alerts for immediate service and implementing it in the 5G network greatly helps in faster communication and surveillance control using TL (Transfer Learning), all these data of various applications such as GPS location tracking, surveillance, alerting are stored in blockchain where evesdropping is possible or malicious data can be added to the original data which may confuse the normal operation of the industry, to overcome this, plot based feature and CNN based feature extraction both are implemented where this hybrid method of identifying malicious data from the original data increases the efficiency and security of the network. As Network Slicing is the main concept used in industry and to have communication between SDN(Software Defined Network) is used as a centralized one, when implementing the blockchain methodology data’s are stored in a compressed form to make it unify. The simulation results indicate that the proposed methodology is boost the IIoT network security, faster data transmission, continuous inspection about the products and machines are done which greatly helps in increasing the supply chain.