Intrusion detection for secure social internet of things based on collaborative edge computing: a generative adversarial network-based approach

L Nie, Y Wu, X Wang, L Guo, G Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The Social Internet of Things (SIoT) now penetrates our daily lives. As a strategy to alleviate
the escalation of resource congestion, collaborative edge computing (CEC) has become a …

Intelligent Intrusion Detection Based on Federated Learning for Edge‐Assisted Internet of Things

D Man, F Zeng, W Yang, M Yu, J Lv… - Security and …, 2021 - Wiley Online Library
As an innovative strategy, edge computing has been considered a viable option to address
the limitations of cloud computing in supporting the Internet‐of‐Things applications …

Efficient intrusion detection toward IoT networks using cloud–edge collaboration

R Yang, H He, Y Xu, B Xin, Y Wang, Y Qu, W Zhang - Computer Networks, 2023 - Elsevier
Abstract The Internet of Things (IoT) is increasingly utilized in daily life and industrial
production, particularly in critical infrastructures. IoT cybersecurity has an effect on people's …

Intelligent intrusion detection for internet of things security: A deep convolutional generative adversarial network-enabled approach

Y Wu, L Nie, S Wang, Z Ning, S Li - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
With the rapid advance of Internet of Things (IoT), it is difficult for cloud-centric computing to
meet the requirements of low latency and ease of use. As an open and distributed system …

A mec-based architecture to secure iot applications using federated deep learning

Z Abou El Houda, B Brik, A Ksentini… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Internet of Things (IoT) is a promising paradigm that is considered as major enabler of smart
cities. However, with the emergence of IoT botnets, the number of unsecured IoT devices is …

Semisupervised-learning-based security to detect and mitigate intrusions in IoT network

N Ravi, SM Shalinie - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Our world is moving toward an Internet of Things (IoT) era by connecting billions of IoT.
There are several security loopholes in the IoT network. Intrusion can lead to performance …

Generative adversarial networks for distributed intrusion detection in the internet of things

A Ferdowsi, W Saad - 2019 IEEE Global Communications …, 2019 - ieeexplore.ieee.org
To reap the benefits of the Internet of Things (IoT), it is imperative to secure the system
against cyber attacks in order to enable mission critical and real-time applications. To this …

Collaborative learning model for cyberattack detection systems in iot industry 4.0

TV Khoa, YM Saputra, DT Hoang… - 2020 IEEE wireless …, 2020 - ieeexplore.ieee.org
Although the development of IoT Industry 4.0 has brought breakthrough achievements in
many sectors, eg, manufacturing, healthcare, and agriculture, it also raises many security …

[PDF][PDF] An unsupervised generative adversarial network based-host intrusion detection system for internet of things devices

I Idrissi, M Azizi, O Moussaoui - Indones. J. Electr. Eng. Comput. Sci, 2022 - academia.edu
Machine learning (ML) and deep learning (DL) have achieved amazing progress in diverse
disciplines. One of the most efficient approaches is unsupervised learning (UL), a sort of …

SIDS: A federated learning approach for intrusion detection in IoT using Social Internet of Things

M Amiri-Zarandi, RA Dara, X Lin - Computer Networks, 2023 - Elsevier
Abstract The Internet of Things (IoT) ecosystem needs Intrusion Detection Systems (IDS) to
mitigate cyberattacks and exploit security vulnerabilities. Over the past years, utilizing …