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Human body IoT systems based on the triboelectrification effect: energy harvesting, sensing, interfacing and communication
In recent years, the internet of things (IoT) has been progressing rapidly with the integration
of technologies in various fields. At this stage, triboelectric nanogenerator (TENG) …
of technologies in various fields. At this stage, triboelectric nanogenerator (TENG) …
Securing the IoT application layer from an MQTT protocol perspective: Challenges and research prospects
S Lakshminarayana, A Praseed… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) is one of the most promising new millennial technologies, having
numerous applications in our surrounding environment. The fundamental goal of an IoT …
numerous applications in our surrounding environment. The fundamental goal of an IoT …
Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues
Abstract Federated Learning (FL), Artificial Intelligence (AI), and Explainable Artificial
Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare …
Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare …
Design and development of RNN anomaly detection model for IoT networks
Cybersecurity is important today because of the increasing growth of the Internet of Things
(IoT), which has resulted in a variety of attacks on computer systems and networks. Cyber …
(IoT), which has resulted in a variety of attacks on computer systems and networks. Cyber …
[HTML][HTML] Artificial intelligence for IoMT security: A review of intrusion detection systems, attacks, datasets and Cloud–Fog–Edge architectures
Recent advances in the Internet of Medical Things (IoMT) have impacted traditional medical
treatment and have evolved data communications in the Smart Healthcare scenario …
treatment and have evolved data communications in the Smart Healthcare scenario …
Automated detection of cybersecurity attacks in healthcare systems with recursive feature elimination and multilayer perceptron optimization
Widespread proliferation of interconnected healthcare equipment, accompanying software,
operating systems, and networks in the Internet of Medical Things (IoMT) raises the risk of …
operating systems, and networks in the Internet of Medical Things (IoMT) raises the risk of …
[HTML][HTML] Intrusion detection in healthcare 4.0 internet of things systems via metaheuristics optimized machine learning
Rapid developments in Internet of Things (IoT) systems have led to a wide integration of
such systems into everyday life. Systems for active real-time monitoring are especially useful …
such systems into everyday life. Systems for active real-time monitoring are especially useful …
A privacy-aware framework for detecting cyber attacks on internet of medical things systems using data fusion and quantum deep learning
Abstract Internet of Medical Things (IoMT) devices and systems are often designed without
adequate security, leaving them highly susceptible to cyber threats. Unlike other IoT …
adequate security, leaving them highly susceptible to cyber threats. Unlike other IoT …
[HTML][HTML] Intrusion detection in internet of things systems: a review on design approaches leveraging multi-access edge computing, machine learning, and datasets
The explosive growth of the Internet of Things (IoT) applications has imposed a dramatic
increase of network data and placed a high computation complexity across various …
increase of network data and placed a high computation complexity across various …
A two-fold machine learning approach to prevent and detect IoT botnet attacks
The botnet attack is a multi-stage and the most prevalent cyber-attack in the Internet of
Things (IoT) environment that initiates with scanning activity and ends at the distributed …
Things (IoT) environment that initiates with scanning activity and ends at the distributed …