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At the confluence of artificial intelligence and edge computing in iot-based applications: A review and new perspectives
Given its advantages in low latency, fast response, context-aware services, mobility, and
privacy preservation, edge computing has emerged as the key support for intelligent …
privacy preservation, edge computing has emerged as the key support for intelligent …
Intrusion detection and prevention in fog based IoT environments: A systematic literature review
Abstract Currently, the Internet of Things is spreading in all areas that apply computing
resources. An important ally of the IoT is fog computing. It extends cloud computing and …
resources. An important ally of the IoT is fog computing. It extends cloud computing and …
Intelligent fog computing surveillance system for crime and vulnerability identification and tracing
IoT devices generate enormous amounts of data, which deep learning algorithms can learn
from more effectively than shallow learning algorithms. The approach for threat detection …
from more effectively than shallow learning algorithms. The approach for threat detection …
Rooted learning model at fog computing analysis for crime incident surveillance
Cyber Loopholes in smart devices' applications invited intruders to conduct malicious
activities. The growing quantity and diversity of smart devices has posed significant cyber …
activities. The growing quantity and diversity of smart devices has posed significant cyber …
Towards SDN-enabled, intelligent intrusion detection system for internet of things (IoT)
The Internet of Things (IoT) has established itself as a multibillion-dollar business in recent
years. Despite its obvious advantages, the widespread nature of IoT renders it insecure and …
years. Despite its obvious advantages, the widespread nature of IoT renders it insecure and …
Securing internet of things using machine and deep learning methods: a survey
Abstract The Internet of Things (IoT) is a vast network of devices with sensors or actuators
connected through wired or wireless networks. It has a transformative effect on integrating …
connected through wired or wireless networks. It has a transformative effect on integrating …
A hybrid deep learning approach for bottleneck detection in IoT
Cloud computing is perhaps the most enticing innovation in the present figuring situation. It
gives an expense-effective arrangement by diminishing the enormous forthright expense of …
gives an expense-effective arrangement by diminishing the enormous forthright expense of …
Artificial intelligence techniques for securing fog computing environments: trends, challenges, and future directions
D Alsadie - IEEE Access, 2024 - ieeexplore.ieee.org
Fog computing, an extension of cloud computing, enhances capabilities by processing data
closer to the source, thereby addressing latency and bandwidth issues inherent in traditional …
closer to the source, thereby addressing latency and bandwidth issues inherent in traditional …
Review of botnet attack detection in SDN-enabled IoT Using machine learning
The orchestration of software-defined networks (SDN) and the internet of things (IoT) has
revolutionized the computing fields. These include the broad spectrum of connectivity to …
revolutionized the computing fields. These include the broad spectrum of connectivity to …
Lightweight model for botnet attack detection in software defined network-orchestrated IoT
The Internet of things (IoT) is being used in a variety of industries, including agriculture, the
military, smart cities and smart grids, and personalized health care. It is also being used to …
military, smart cities and smart grids, and personalized health care. It is also being used to …