A New Hybrid EAES-SI Framework for Secure Information Sharing iin WBANS

The transition from analog to digital health services, or “Wireless Body Area Networks (WBAN s)”, is often portrayed as a revolution. The vital signs of the patient detected by the sensors are private, valuable information that might be exploited in several ways by malicious parties. This means that successful encryption protection methods are essential for the broad use of WBANs. In this present research, a unique hybrid “EAES-SI” framework is proposed as a means of protecting the confidentiality and safety of medical records sent through WBAN. To prevent loss of information and fraudulent attempts, an “Enhanced Advanced Encryption Standard (EAES)” was developed first to encrypt the information while it is sent from the patient's body to the “Sink Node (SiN)/Base Station (BS)”. The EAES is an improvement over the standard AES when it comes to the amount of data and keys. Next, a “Swarm Intelligence (SI)” approach is proposed, depicted upon the cooperative behavior of swarming creatures, to determine the most secure and efficient means of transferring data. After an optimum route has been determined, SI will send the encrypted information from EAES down that way. Thus, the proposed EAES-SI approach reduces both energy consumption and processing time. The suggested EAES-SI, which uses medical information as its backbone, offers an increased level of confidentiality of the information and an improved privacy ratio. Comparing the “Security Ratio”, “Energy Consumption Ratio”, “Encryption Time” and “Decryption Time” of the proposed EAES-SI with the existing BC and ADC frameworks, the proposed EAES-SI framework is shown to be the most secure option.