Security and privacy on 6g network edge: A survey

B Mao, J Liu, Y Wu, N Kato - IEEE communications surveys & …, 2023 - ieeexplore.ieee.org
To meet the stringent service requirements of 6G applications such as immersive cloud
eXtended Reality (XR), holographic communication, and digital twin, there is no doubt that …

A comprehensive survey on DDoS defense systems: New trends and challenges

Q Li, H Huang, R Li, J Lv, Z Yuan, L Ma, Y Han… - Computer Networks, 2023 - Elsevier
In the past ten years, the source of DDoS has migrated to botnets composed of IoT devices.
The scale of DDoS attacks increases dramatically with the number of IoT devices. New …

Cloud-edge coordinated traffic anomaly detection for industrial cyber-physical systems

T Yang, W Hao, Q Yang, W Wang - Expert Systems with Applications, 2023 - Elsevier
Industrial cyber-physical systems (ICPSs) are facing increasing cyber threats that can cause
catastrophes in the physical systems. Efficient network traffic anomaly detection is essential …

Scalable anomaly-based intrusion detection for secure Internet of Things using generative adversarial networks in fog environment

W Yao, H Shi, H Zhao - Journal of Network and Computer Applications, 2023 - Elsevier
The data generated exponentially by a massive number of devices in the Internet of Things
(IoT) are extremely high-dimensional, large-scale, non-labeled, which poses great …

A survey of using machine learning in IoT security and the challenges faced by researchers

KM Harahsheh, CH Chen - Informatica, 2023 - digitalcommons.odu.edu
Abstract The Internet of Things (IoT) has become more popular in the last 15 years as it has
significantly improved and gained control in multiple fields. We are nowadays surrounded by …

Privacy-preserving collaborative intrusion detection in edge of internet of things: A robust and efficient deep generative learning approach

W Yao, H Zhao, H Shi - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
The swift expansion of the Internet of Things (IoT) has brought about convenient services,
but it has also increased cyber threats. An intrusion detection system (IDS) is an effective …

Enhanced Active Eavesdroppers Detection System for Multi-hop WSNs in Tactical IoT Applications

M Abedini, I Al-Anbagi - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
In tactical Internet of Things (IoT) applications, the broadcast nature of wireless sensor
networks (WSNs) makes it easy to eavesdrop on their traffic. Furthermore, adversaries can …

Deep Learning Approaches for Network Traffic Classification in the Internet of Things (IoT): A Survey

JH Kalwar, S Bhatti - arXiv preprint arXiv:2402.00920, 2024 - arxiv.org
The Internet of Things (IoT) has witnessed unprecedented growth, resulting in a massive
influx of diverse network traffic from interconnected devices. Effectively classifying this …

I Know Your Intent: Graph-enhanced Intent-aware User Device Interaction Prediction via Contrastive Learning

J Xiao, Q Zou, Q Li, D Zhao, K Li, Z Weng, R Li… - Proceedings of the …, 2023 - dl.acm.org
With the booming of smart home market, intelligent Internet of Things (IoT) devices have
been increasingly involved in home life. To improve the user experience of smart homes …

Iotensemble: Detection of botnet attacks on internet of things

R Li, Q Li, Y Huang, W Zhang, P Zhu… - European Symposium on …, 2022 - Springer
Abstract As the Internet of Things (IoT) plays an increasingly important role in real life, the
concern about IoT malware and botnet attacks is considerably growing. Meanwhile, with …