Intrusion Detection Approaches in Healthcare Systems: An Overview

Chaimae Hazman (), Maryam Douiba, Azidine Guezzaz (), Vinayakumar Ravi (), Mourade Azrour and Said Benkirane
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Chaimae Hazman: Research Team LAMIGEP, EMSI-Marrakech
Maryam Douiba: Cadi AyyadUniversity, SISAR Team, LaRTiD Laboratory, Technology Higher School Essaouira
Azidine Guezzaz: Cadi AyyadUniversity, SISAR Team, LaRTiD Laboratory, Technology Higher School Essaouira
Vinayakumar Ravi: Prince Mohammad Bin Fahd University, Center for Artificial Intelligence
Mourade Azrour: Moulay Ismail University of Meknes, Faculty of Sciences and Techniques
Said Benkirane: Cadi AyyadUniversity, SISAR Team, LaRTiD Laboratory, Technology Higher School Essaouira

A chapter in Reliability in Cyber-Physical Systems: The Human Factor Perspective, 2026, pp 131-145 from Springer

Abstract: Abstract Since healthcare facilities been more reliant on digital technology, safeguarding critical customer data and medical devices against cyber attacks has become critical. Intrusion Detection Systems (IDS) are critical defense mechanisms for identifying and reacting to breaches of security. This study investigates the importance of IDS for medical security, focusing on major techniques for detection including based on signatures, anomaly-based, and hybrid approaches. It also handles issues like as false positives, limited resource availability, and attacker flexibility. In addition, we investigate how advances in artificial intelligence and cloud computing might increase IDS efficacy. Our findings highlight the significance of IDS in improving cybersecurity in health care organizations and protecting the security of vital health data.

Keywords: Healthcare; Security; Intrusion detection; Artficial intelligence (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-3-032-09917-4_9

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