Severity Index based Adaptive Hardware Cryptographic system

In this work, an adaptive cryptographic system is designed using Finite State machine, for a secured and intelligent hardware based data protection. The proposed system dynamically selects cryptographic algorithms based on a severity index computed from the probability of malware and probability of anomaly detection. By continuously analysing security threats, the framework adjusts the encryption strength to provide efficient and reliable protection under varying attack conditions. The architecture integrates adaptive key management technique to improve system security while reducing computational overhead. The proposed approach enhances real-time cyber security performance and is suitable for secure healthcare, IoT, and embedded system applications. The work is carried out using Cadence NcLaunch for simulation and Genus tool for synthesizing RTL to gate level netlist. The performance of the adaptive cryptographic system is measured in terms of power, area and timing using 180nm, 90nm and 45nm technology for comparison. Also a GDS-II file is generated as a part of the final output.