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Review on environmental aspects in smart city concept: Water, waste, air pollution and transportation smart applications using IoT techniques
Increasing urban populations due to factors such as more comfortable life and immigration
have turned self-sufficient traditional cities into mega-cities and caused several new …
have turned self-sufficient traditional cities into mega-cities and caused several new …
Sensors on internet of things systems for the sustainable development of smart cities: a systematic literature review
The Internet of Things (IoT) is a critical component of smart cities and a key contributor to the
achievement of the United Nations Sustainable Development Goal (UNSDG) 11 …
achievement of the United Nations Sustainable Development Goal (UNSDG) 11 …
A review of secure federated learning: Privacy leakage threats, protection technologies, challenges and future directions
L Ge, H Li, X Wang, Z Wang - Neurocomputing, 2023 - Elsevier
Advances in the new generation of Internet of Things (IoT) technology are propelling the
growth of intelligent industrial applications worldwide. Simultaneously, widespread adoption …
growth of intelligent industrial applications worldwide. Simultaneously, widespread adoption …
Defense strategies for adversarial machine learning: A survey
Abstract Adversarial Machine Learning (AML) is a recently introduced technique, aiming to
deceive Machine Learning (ML) models by providing falsified inputs to render those models …
deceive Machine Learning (ML) models by providing falsified inputs to render those models …
A survey on security, privacy, trust, and architectural challenges in IoT systems
The Internet of Things (IoT) emerged as a pervasive technology, facilitating the seamless
interaction of devices, individuals, and services, enabling data exchange and task execution …
interaction of devices, individuals, and services, enabling data exchange and task execution …
Survey: federated learning data security and privacy-preserving in edge-Internet of Things
H Li, L Ge, L Tian - Artificial Intelligence Review, 2024 - Springer
The amount of data generated owing to the rapid development of the Smart Internet of
Things is increasing exponentially. Traditional machine learning can no longer meet the …
Things is increasing exponentially. Traditional machine learning can no longer meet the …
Anomaly detection of iot cyberattacks in smart cities using federated learning and split learning
The swift proliferation of the Internet of Things (IoT) devices in smart city infrastructures has
created an urgent demand for robust cybersecurity measures. These devices are …
created an urgent demand for robust cybersecurity measures. These devices are …
Adversarial machine learning attacks on multiclass classification of iot network traffic
Machine Learning-based Intrusion Detection Systems have been proven to be very effective
in the protection of IoT Networks. However, the expansion of Adversarial Machine Learning …
in the protection of IoT Networks. However, the expansion of Adversarial Machine Learning …
Enhanced IDS with deep learning for IoT-based smart cities security
Cyberattacks against highly integrated Internet of Things (IoT) servers, apps, and telecoms
infrastructure are rapidly increasing when issues produced by IoT networks go unnoticed for …
infrastructure are rapidly increasing when issues produced by IoT networks go unnoticed for …
Optimum GMSK based transceiver model for cellular IoT networks
This paper focuses on the evolution of cellular networks as part of their adaptation to the IoT,
allowing their new belonging to the category of LPWAN networks. We will be more …
allowing their new belonging to the category of LPWAN networks. We will be more …