At the confluence of artificial intelligence and edge computing in iot-based applications: A review and new perspectives

A Bourechak, O Zedadra, MN Kouahla, A Guerrieri… - Sensors, 2023 - mdpi.com
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 …

Intrusion detection and prevention in fog based IoT environments: A systematic literature review

CA de Souza, CB Westphall, RB Machado, L Loffi… - Computer Networks, 2022 - Elsevier
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 …

Intelligent fog computing surveillance system for crime and vulnerability identification and tracing

R Rawat, RK Chakrawarti, P Vyas… - International Journal of …, 2023 - igi-global.com
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 …

Rooted learning model at fog computing analysis for crime incident surveillance

R Rawat, V Mahor, J Díaz-Álvarez… - … Conference on Smart …, 2022 - ieeexplore.ieee.org
Cyber Loopholes in smart devices' applications invited intruders to conduct malicious
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)

MSA Muthanna, R Alkanhel, A Muthanna, A Rafiq… - Ieee …, 2022 - ieeexplore.ieee.org
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 …

Securing internet of things using machine and deep learning methods: a survey

A Ghaffari, N Jelodari, S pouralish, N derakhshanfard… - Cluster …, 2024 - Springer
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 …

A hybrid deep learning approach for bottleneck detection in IoT

F Sattari, AH Farooqi, Z Qadir, B Raza, H Nazari… - IEEE …, 2022 - ieeexplore.ieee.org
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 …

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 …

Review of botnet attack detection in SDN-enabled IoT Using machine learning

WG Negera, F Schwenker, TG Debelee, HM Melaku… - Sensors, 2022 - mdpi.com
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 …

Lightweight model for botnet attack detection in software defined network-orchestrated IoT

WG Negera, F Schwenker, TG Debelee, HM Melaku… - Applied Sciences, 2023 - mdpi.com
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 …