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2 results on '"Medical care--Information technology--Security measures"'

1. Artificial Intelligence Technology in Healthcare : Security and Privacy Issues

Author

Neha Sharma, Durgesh Srivastava, Deepak Sinwar, Neha Sharma, Durgesh Srivastava, and Deepak Sinwar

Subjects
Computer security, Data protection, Artificial intelligence--Medical applications, Medical care--Information technology--Security measures
Abstract

Artificial Intelligence Technology in Healthcare: Security and Privacy Issues focuses on current issues with patients'privacy and data security including data breaches in healthcare organizations, unauthorized access to patients'information, and medical identity theft. It explains recent breakthroughs and problems in deep learning security and privacy issues, emphasizing current state-of-the-art methods, methodologies, implementation, attacks, and countermeasures. It examines the issues related to developing artifiicial intelligence (AI)-based security mechanisms which can gather or share data across several healthcare applications securely and privately. Features: Combines multiple technologies (i.e., Internet of Things [IoT], Federated Computing, and AI) for managing and securing smart healthcare systems. Includes state-of-the-art machine learning, deep learning techniques for predictive analysis, and fog and edge computing-based real-time health monitoring. Covers how to diagnose critical diseases from medical imaging using advanced deep learning-based approaches. Focuses on latest research on privacy, security, and threat detection on COVID-19 through IoT. Illustrates initiatives for research in smart computing for advanced healthcare management systems. This book is aimed at researchers and graduate students in bioengineering, artificial intelligence, and computer engineering.

Published
2025

2. Microservices-based approach for Healthcare Cybersecurity

Author

Trivedi, Ohm H. (author), Shankar, Ravi (Thesis advisor), Florida Atlantic University (Degree grantor), College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science, Trivedi, Ohm H. (author), Shankar, Ravi (Thesis advisor), Florida Atlantic University (Degree grantor), College of Engineering and Computer Science, and Department of Computer and Electrical Engineering and Computer Science

Abstract

Healthcare organizations, realizing the potential of the Internet of Things (IoT) technology, are rapidly adopting the technology to bring signi cant improvements in the quality and e ectiveness of the service. However, these smart and interconnected devices can act as a potential \back door" into a hospital's IT network, giving attack- ers access to sensitive information. As a result, cyber-attacks on medical IoT devices have been increasing since the last few years. It is a growing concern for all the stakeholders involved, as the impact of such attacks is not just monetary or privacy loss, but the lives of many patients are also at risk. Considering the various kinds of IoT devices one may nd connected to a hospital's network, traditional host-centric security solutions (e.g. antivirus, software patches) are at odds with realistic IoT infrastructure (e.g. constrained hardware, lack of proper built-in security measures). There is a need for security solutions which consider the challenges of IoT devices like heterogeneity of technology and protocols used, limited resources in terms of battery and computation power, etc. Accordingly, the goals of this thesis have been: (1) to provide an in-depth understanding of vulnerabilities of medical IoT devices; (2) to in- troduce a novel approach which uses a microservices-based framework as an adaptive and agile security solution to address the issue. The thesis focuses on OS Fingerprint- ing attacks because of its signi cance for attackers to understand a target's network. In this thesis, we developed three microservices, each one designed to serve a speci c functionality. Each of these microservices has a small footprint with RAM usage of approximately 50 MB. We also suggest how microservices can be used in a real-life scenario as a software-based security solution to secure a hospital's network consisting of di erent IoT devices., 2018, Includes bibliography., Degree granted: Thesis (M.S.)--Florida Atlantic University, 2018., Collection: FAU Electronic Theses and Dissertations Collection

Published
2018

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