LAUSR

Internet of Things (IoT) data security is one of the critical ideas in data security as the data to be transferred should be made secure. In the field of mobile commerce is the high effect that it will have on a few parts of the regular life and behavior of potential clients. In this present examination, we focused to build up the IoT security in the field of mobile commerce utilizing new cryptographic strategies. Fundamentally the sensitive data are classified from the entire dataset to enhance the accuracy utilizing Feed Forward Back Propagation Algorithm (FFBN). At that point the security of sensitive data is upgraded by utilizing Light Weight Cryptography (LWC) which encodes the input sensitive data called encryption. To enhance the data privacy and secrecy, an imaginative security model is proposed for example Lightweight SIMON block cipher. This will encrypt the data alongside optimal key selection; this LWC upgrades the m commerce data security level in cloud. For key optimization, a meta-heuristic algorithm called Crow Search Algorithm (CSA) is introduced. The proposed SIMON-CSA accomplishes least time to generate key value to decrypt the data.