CS12 - Security Analytics of Cryptography for IoT-Enabled Medical Cyber-Physical Systems
SCURS Disciplines
Computer Sciences
Document Type
General Poster
Invited Presentation Choice
Not Applicable
Abstract
Medical Cyber-Physical Systems (MCPSs) and IoT-enabled medical devices rely on secure, low-latency communication to ensure patient safety and support timely clinical interventions. Cryptographic security is essential in these systems to maintain data integrity, confidentiality, and resilience against cyberattacks. In this research, we systematically evaluate symmetric AES and asymmetric RSA encryption within a simulated MCPS environment using physiological data from three open-source datasets: Kaggle Vital Signs, MIMIC-IV Clinical, and OSF VitalDB. We focused on heart rate, blood pressure, and infusion pump messages, and tested payloads of varying sizes to reflect realistic operational conditions. Performance metrics included encryption and decryption latency, CPU and memory utilization with overall computational overhead, and security. Security was assessed through tamper detection rates and key-change robustness under normal operation as well as multiple attack scenarios, including man-in-the-middle, replay, key spoofing, denial-of-service, and brute-force stress conditions. Our results indicate that AES consistently achieves low latency, minimal CPU overhead, a competitive tamper detection rate, and complete key-change robustness. RSA demonstrated perfect tamper detection and robust key-change resilience, making it highly reliable for securing MCPS data, though its higher computational cost and latency make it more suitable for occasional or non-real-time operations. Across all evaluated attack scenarios, the combined performance achieved an overall accuracy of 83.81%, demonstrating reliable integrity verification. These findings highlight AES as the preferred solution for resource-constrained, time-sensitive MCPS deployments, while RSA remains appropriate for infrequent tasks such as secure key exchange.
Keywords
Cybersecurity, MCPS, IoT, Communication, AES, RSA
Start Date
10-4-2026 9:30 AM
Location
University Readiness Center Greatroom
End Date
10-4-2026 11:30 AM
CS12 - Security Analytics of Cryptography for IoT-Enabled Medical Cyber-Physical Systems
University Readiness Center Greatroom
Medical Cyber-Physical Systems (MCPSs) and IoT-enabled medical devices rely on secure, low-latency communication to ensure patient safety and support timely clinical interventions. Cryptographic security is essential in these systems to maintain data integrity, confidentiality, and resilience against cyberattacks. In this research, we systematically evaluate symmetric AES and asymmetric RSA encryption within a simulated MCPS environment using physiological data from three open-source datasets: Kaggle Vital Signs, MIMIC-IV Clinical, and OSF VitalDB. We focused on heart rate, blood pressure, and infusion pump messages, and tested payloads of varying sizes to reflect realistic operational conditions. Performance metrics included encryption and decryption latency, CPU and memory utilization with overall computational overhead, and security. Security was assessed through tamper detection rates and key-change robustness under normal operation as well as multiple attack scenarios, including man-in-the-middle, replay, key spoofing, denial-of-service, and brute-force stress conditions. Our results indicate that AES consistently achieves low latency, minimal CPU overhead, a competitive tamper detection rate, and complete key-change robustness. RSA demonstrated perfect tamper detection and robust key-change resilience, making it highly reliable for securing MCPS data, though its higher computational cost and latency make it more suitable for occasional or non-real-time operations. Across all evaluated attack scenarios, the combined performance achieved an overall accuracy of 83.81%, demonstrating reliable integrity verification. These findings highlight AES as the preferred solution for resource-constrained, time-sensitive MCPS deployments, while RSA remains appropriate for infrequent tasks such as secure key exchange.