Next-Gen fortified health monitoring for cyber physical systems in internet of things using logistic maps based encryption

Abstract In an era of burgeoning digital healthcare, ensuring the confidentiality and integrity of patient data is paramount. The adoption of health monitoring systems, leveraging Internet of Things (IoT) devices in CPS, presents challenges in safeguarding sensitive medical information. This work presents a unique way to encrypt data using chaotic mapping and ASCON algorithm which is a lightweight approach. The given method provides a P-value of 0.6066 for monobit test and an average entropy of 0.994 which ensures data integrity, high randomization and an average execution time of 0.502 microsec, this solution guarantees both unpredictability and security for patient data, making it a viable option for modern healthcare systems.