A hybrid framework for intrusion detection in healthcare systems using deep learning
M Akshay Kumaar, D Samiayya… - Frontiers in Public …, 2022 - frontiersin.org
The unbounded increase in network traffic and user data has made it difficult for network
intrusion detection systems to be abreast and perform well. Intrusion Systems are crucial in e …
intrusion detection systems to be abreast and perform well. Intrusion Systems are crucial in e …
Data analytics in healthcare: A tertiary study
The field of healthcare has seen a rapid increase in the applications of data analytics during
the last decades. By utilizing different data analytic solutions, healthcare areas such as …
the last decades. By utilizing different data analytic solutions, healthcare areas such as …
Artificial intelligence and cybersecurity within a social media context: implications and insights for Kuwait
KJ Alrabea, M Alsaffar, MA Alsafran… - Journal of Science and …, 2024 - emerald.com
Purpose By addressing the dearth of literature on the subject of cybersecurity risks and
artificial intelligence (AI), this study aims to close a research gap by concentrating on the …
artificial intelligence (AI), this study aims to close a research gap by concentrating on the …
The empowerment of artificial intelligence in post-digital organizations: exploring human interactions with supervisory AI
Technology evolves together with humans. Across industrial revolutions, its role has evolved
from that of a simple tool used by humans to that of intelligent decision-maker and …
from that of a simple tool used by humans to that of intelligent decision-maker and …
[HTML][HTML] Bandwidth and power efficient lightweight authentication scheme for healthcare systeme☆☆☆☆☆☆
With the emergence of the Internet of Things (IoT) and the rapid advancement in sensor
technology, wireless medical sensor networks (WMSNs) have become increasingly …
technology, wireless medical sensor networks (WMSNs) have become increasingly …
[PDF][PDF] Optimizing US supply chains with AI: reducing costs and improving efficiency
The optimization of supply chains in the US has become increasingly critical in the wake of
globalization, market volatility, and the recent disruptions caused by the COVID-19 …
globalization, market volatility, and the recent disruptions caused by the COVID-19 …
[HTML][HTML] Artificial intelligence–based framework for analyzing health care staff security practice: Mapping review and simulation study
Background Blocklisting malicious activities in health care is challenging in relation to
access control in health care security practices due to the fear of preventing legitimate …
access control in health care security practices due to the fear of preventing legitimate …
[HTML][HTML] Assessing the legal aspects of information security requirements for health care in 3 countries: Scoping review and framework development
Background: The loss of human lives from cyberattacks in health care is no longer a
probabilistic quantification but a reality that has begun. In addition, the threat scope is also …
probabilistic quantification but a reality that has begun. In addition, the threat scope is also …
[PDF][PDF] Strengthening Healthcare Data Security with Ai-Powered Threat Detection
S Arefin - International Journal of Scientific Research and …, 2024 - researchgate.net
As the healthcare industry undergoes rapid digital transformation, the need for robust
cybersecurity measures has never been more critical. AI-driven solutions, such as Machine …
cybersecurity measures has never been more critical. AI-driven solutions, such as Machine …
[PDF][PDF] An analysis of integrating machine learning in healthcare for ensuring confidentiality of the electronic records
The adoption of sustainable electronic healthcare infrastructure has revolutionized
healthcare services and ensured that E-health technology caters efficiently and promptly to …
healthcare services and ensured that E-health technology caters efficiently and promptly to …