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Managing security of healthcare data for a modern healthcare system
The advent of Artificial Intelligence (AI) and the Internet of Things (IoT) have recently created
previously unimaginable opportunities for boosting clinical and patient services, reducing …
previously unimaginable opportunities for boosting clinical and patient services, reducing …
An ensemble tree-based model for intrusion detection in industrial internet of things networks
With less human involvement, the Industrial Internet of Things (IIoT) connects billions of
heterogeneous and self-organized smart sensors and devices. Recently, IIoT-based …
heterogeneous and self-organized smart sensors and devices. Recently, IIoT-based …
A multi-level random forest model-based intrusion detection using fuzzy inference system for internet of things networks
Intrusion detection (ID) methods are security frameworks designed to safeguard network
information systems. The strength of an intrusion detection method is dependent on the …
information systems. The strength of an intrusion detection method is dependent on the …
Industrial internet of things intrusion detection method using machine learning and optimization techniques
The emergence of the Internet of Things (IoT) has witnessed immense growth globally with
the use of various devices found in home, transportation, healthcare, and industry. The …
the use of various devices found in home, transportation, healthcare, and industry. The …
Intelligent cybersecurity approach for data protection in cloud computing based internet of things
Users of computer networks may benefit from cloud computing, which is a fairly new
abstraction that offers features like processing as well as the sharing and storing of data. As …
abstraction that offers features like processing as well as the sharing and storing of data. As …
An enhanced hyper-parameter optimization of a convolutional neural network model for leukemia cancer diagnosis in a smart healthcare system
Healthcare systems in recent times have witnessed timely diagnoses with a high level of
accuracy. Internet of Medical Things (IoMT)-enabled deep learning (DL) models have been …
accuracy. Internet of Medical Things (IoMT)-enabled deep learning (DL) models have been …
Artificial intelligence of medical things for medical information systems privacy and security
Artificial intelligence (AI) is a modern approach based on computer research that aims to
create algorithms and programs that make machines clever and effective at carrying out jobs …
create algorithms and programs that make machines clever and effective at carrying out jobs …
[HTML][HTML] Enhanced intrusion detection model based on principal component analysis and variable ensemble machine learning algorithm
The intrusion detection system (IDS) model, which can identify the presence of intruders in
the network and take some predefined action for safe data transit across the network, is …
the network and take some predefined action for safe data transit across the network, is …
Abnormal transactions detection in the ethereum network using semi-supervised generative adversarial networks
Numerous abnormal transactions have been exposed as a result of targeted attacks on
Ethereum, such as the Ethereum Decentralized Autonomous Organization attack. Exploiting …
Ethereum, such as the Ethereum Decentralized Autonomous Organization attack. Exploiting …
[HTML][HTML] A Review of Deep Learning Applications in Intrusion Detection Systems: Overcoming Challenges in Spatiotemporal Feature Extraction and Data Imbalance
In the rapid development of the Internet of Things (IoT) and large-scale distributed networks,
Intrusion Detection Systems (IDS) face significant challenges in handling complex …
Intrusion Detection Systems (IDS) face significant challenges in handling complex …