Security of Internet of Things (IoT) using federated learning and deep learning—Recent advancements, issues and prospects

V Gugueoth, S Safavat, S Shetty - ICT Express, 2023 - Elsevier
There is a great demand for an efficient security framework which can secure IoT systems
from potential adversarial attacks. However, it is challenging to design a suitable security …

DDoS attack detection in IoT-based networks using machine learning models: a survey and research directions

AA Alahmadi, M Aljabri, F Alhaidari, DJ Alharthi… - Electronics, 2023 - mdpi.com
With the emergence of technology, the usage of IoT (Internet of Things) devices is said to be
increasing in people's lives. Such devices can benefit the average individual, who does not …

Imbalanced tabular data modelization using CTGAN and machine learning to improve IoT Botnet attacks detection

O Habibi, M Chemmakha, M Lazaar - Engineering Applications of Artificial …, 2023 - Elsevier
Abstract The Internet of Things (IoT) has been trending in the past few years, posing so
many security problems. IoT Botnets are one of the most serious attacks that threaten the …

smote-drnn: A deep learning algorithm for botnet detection in the internet-of-things networks

SI Popoola, B Adebisi, R Ande, M Hammoudeh… - Sensors, 2021 - mdpi.com
Nowadays, hackers take illegal advantage of distributed resources in a network of
computing devices (ie, botnet) to launch cyberattacks against the Internet of Things (IoT) …

A deep learning methodology for predicting cybersecurity attacks on the internet of things

OA Alkhudaydi, M Krichen, AD Alghamdi - Information, 2023 - mdpi.com
With the increasing severity and frequency of cyberattacks, the rapid expansion of smart
objects intensifies cybersecurity threats. The vast communication traffic data between …

Cyberattacks in smart grids: challenges and solving the multi-criteria decision-making for cybersecurity options, including ones that incorporate artificial intelligence …

AA Bouramdane - Journal of Cybersecurity and Privacy, 2023 - mdpi.com
Smart grids have emerged as a transformative technology in the power sector, enabling
efficient energy management. However, the increased reliance on digital technologies also …

Fidchain: Federated intrusion detection system for blockchain-enabled iot healthcare applications

E Ashraf, NFF Areed, H Salem, EH Abdelhay, A Farouk - Healthcare, 2022 - mdpi.com
Recently, there has been considerable growth in the internet of things (IoT)-based
healthcare applications; however, they suffer from a lack of intrusion detection systems …

BotStop: Packet-based efficient and explainable IoT botnet detection using machine learning

MM Alani - Computer Communications, 2022 - Elsevier
The rapid increase in the adoption of the Internet of Things has increased the attack surface
of these devices, encouraging malicious actors to target these devices. Vulnerable Internet …

A lightweight deep learning framework for botnet detecting at the IoT edge

C Wei, G Xie, Z Diao - Computers & Security, 2023 - Elsevier
Nowadays, a large number of Internet-of-Things (IoT) devices are exposed on the Internet.
Due to the serious security flaws and users' misuse, they are vulnerable to various attacks …

IoT Security Based on Machine Learning

RK Vanakamamidi, L Ramalingam… - … For Smart Nation …, 2023 - ieeexplore.ieee.org
The protection of user privacy and mitigation of threats like spoofing, DoS, jamming, and
eavesdropping are essential for the Internets of Things (IoT) to fulfill its promise of bringing …