Embedded Light-Weight Cryptography Technique to Preserve Privacy of Healthcare Wearable IoT Device Data

Internet of Things (IoT) technology is widely applied in various domains such as agriculture, health, business, etc. IoT devices mainly deal with collecting sensory data and communicating with each other with the help of the Internet. The dependability on the Internet has made these IoT devices more vulnerable to attacks done by third-party users. To ensure privacy, security, and confidentiality for the data generated by these IoT devices, there is a need for cryptographic techniques. Light-Weight Cryptography (LWC) is the most commonly used cryptographic technique to ensure security for the data generated by IoT devices. The LWC techniques consume less power for computation and are most suitable for IoT devices as they have limited capacity in terms of memory and power. This paper proposes an LWC technique for healthcare Wearable IoT device data. In the proposed method, the plain text size is 64 bits which combine the IoT-generated data, i.e., Step count, BP level, Heart rate, etc., into a single plaintext and encrypts the same. The proposed method’s performance is better than the Present LWC technique as it reduces the time for encryption and decryption.