AI based Pentest For EHR and Other Health Monitoring Devices


연구 분야: Strategies



학회: 2024 5th International Conference on Smart Electronics and Communication (ICOSEC)


초록

The increasing reliance on Electronic Health Records (EHRs) and health monitoring devices has made healthcare systems vulnerable to cyberattacks. This research proposes an AI-based penetration testing framework to address these security concerns. By integrating machine learning techniques, our framework offers a more realistic approach to learning actual attack patterns, improving detection accuracy and response time compared to traditional methods. The framework’s ability to minimize false positives and adapt to new threats demonstrates its effectiveness in strengthening healthcare system security. This research highlights the potential of AI-driven penetration testing in safeguarding patient information and protecting the integrity of healthcare systems. By identifying and addressing vulnerabilities, this framework can contribute to a more secure and resilient healthcare environment.


Author Profile
U Kumaran

Dept. of Computer Science Amrita School of Computing Amrita Vishwa Vidyapeetham Bangalore India

India
Author Profile
M Gurupriya

Dept. of Computer Science Amrita School of Computing Amrita Vishwa Vidyapeetham Bangalore India

India
Author Profile
Hitesh Surya Chinta

dept. of Computer Science Amrita School of Computing Bangalore India

India

📄 논문 정보

발행 연도 2024년
인용수 4
출판 국가 India
사이트 IEEE
좋아요 수 0

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