SECURING THE FUTURE: ADDRESSING IOT VULNERABILITIES IN HEALTHCARE THROUGH ROBUST SECURITY STRATEGIES

The rapid growth of the Internet of Things (IoT) presents unparalleled opportunities for creativity across different industries, especially in healthcare. While IoT devices can offer significant enhancements in patient monitoring and care quality, their incorporation presents noteworthy security obstacles. This thesis explores serious weaknesses related to interconnected devices in healthcare, with a focus on the growing number of devices, the absence of standardized security procedures, and insufficient resources for maintenance and safeguarding. Primary security concerns include obsolete firmware, unencrypted communication channels, and inadequate authentication mechanisms that endanger patient confidentiality and data accuracy. The research examines different security measures, such as encryption for safeguarding data, improved authentication methods, intrusion detection systems for monitoring threats, blockchain technology for secure data transactions, and machine learning for identifying anomalies. By tackling these security challenges and suggesting thorough solutions, this research aims to contribute to a safer implementation of IoT technologies in healthcare, ensuring that progress does not jeopardize patient security or privacy.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-04
DOI
https://doi.org/10.5281/zenodo.13679784
Primary Topic
Information and Cyber Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SECURING THE FUTURE: ADDRESSING IOT VULNERABILITIES IN HEALTHCARE THROUGH ROBUST SECURITY STRATEGIES

Zenodo (CERN European Organization for Nuclear Research)
Information and Cyber Security
article

SECURING THE FUTURE: ADDRESSING IOT VULNERABILITIES IN HEALTHCARE THROUGH ROBUST SECURITY STRATEGIES

article en

Abstract

The rapid growth of the Internet of Things (IoT) presents unparalleled opportunities for creativity across different industries, especially in healthcare. While IoT devices can offer significant enhancements in patient monitoring and care quality, their incorporation presents noteworthy security obstacles. This thesis explores serious weaknesses related to interconnected devices in healthcare, with a focus on the growing number of devices, the absence of standardized security procedures, and insufficient resources for maintenance and safeguarding. Primary security concerns include obsolete firmware, unencrypted communication channels, and inadequate authentication mechanisms that endanger patient confidentiality and data accuracy. The research examines different security measures, such as encryption for safeguarding data, improved authentication methods, intrusion detection systems for monitoring threats, blockchain technology for secure data transactions, and machine learning for identifying anomalies. By tackling these security challenges and suggesting thorough solutions, this research aims to contribute to a safer implementation of IoT technologies in healthcare, ensuring that progress does not jeopardize patient security or privacy.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 43%
Information and Cyber Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.