Ensuring cyber-security of Electronic Health Record (EHR) is a challenging task due to complexity and heterogeneity of IT systems supporting business processes. Several solutions have been proposed to protect this infrastructure but they mainly are focused on the detection of unauthorized accesses. In this paper we propose an Intrusion Detection System (IDS) architecture designed to address cyber-security in a EHR. The proposed IDS is based on three main components: a misuse detection module that allows to detect well-know attacks; an anomaly detection module that is able to detect zero-day attack; an expert system aims to resolve possible conflicts between misuse and anomaly modules. In cooperation with experts of the domain, we identified and simulated three real cyber-attacks that may affects a EHR infrastructure. Experimental results shown the effectiveness of IDS proposed.

Ensuring Electronic Health Record Cyber-Security through an Hybrid Intrusion Detection System

Mario Sicuranza;Giovanni Paragliola
2020

Abstract

Ensuring cyber-security of Electronic Health Record (EHR) is a challenging task due to complexity and heterogeneity of IT systems supporting business processes. Several solutions have been proposed to protect this infrastructure but they mainly are focused on the detection of unauthorized accesses. In this paper we propose an Intrusion Detection System (IDS) architecture designed to address cyber-security in a EHR. The proposed IDS is based on three main components: a misuse detection module that allows to detect well-know attacks; an anomaly detection module that is able to detect zero-day attack; an expert system aims to resolve possible conflicts between misuse and anomaly modules. In cooperation with experts of the domain, we identified and simulated three real cyber-attacks that may affects a EHR infrastructure. Experimental results shown the effectiveness of IDS proposed.
2020
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Misuse Detection
Anomaly Detection
Intrusion Detection System
Electronic Health Record
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/383604
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