[HTML][HTML] IDSoft: A federated and softwarized intrusion detection framework for massive internet of things in 6G network

A Alotaibi, A Barnawi - Journal of King Saud University-Computer and …, 2023 - Elsevier
With the rollout of sixth generation (6G)–enabled massive internet of things (IoT) networks,
the amount of data generated by IoT devices is expected to grow tremendously. Therefore …

A framework for anomaly detection in IoT networks using conditional generative adversarial networks

I Ullah, QH Mahmoud - IEEE Access, 2021 - ieeexplore.ieee.org
While anomaly detection and the related concept of intrusion detection are widely studied,
detecting anomalies in new operating behavior in environments such as the Internet of …

MEMBER: A multi-task learning model with hybrid deep features for network intrusion detection

J Lan, X Liu, B Li, J Sun, B Li, J Zhao - Computers & Security, 2022 - Elsevier
With the continuous occurrence of cybersecurity incidents, network intrusion detection has
become one of the most critical issues in cyber ecosystems. Although previous machine …

Deepfakes: current and future trends

ÁF Gambín, A Yazidi, A Vasilakos, H Haugerud… - Artificial Intelligence …, 2024 - Springer
Abstract Advances in Deep Learning (DL), Big Data and image processing have facilitated
online disinformation spreading through Deepfakes. This entails severe threats including …

Toward an intrusion detection model for IoT-based smart environments

C Hazman, A Guezzaz, S Benkirane… - Multimedia Tools and …, 2023 - Springer
Abstract Nowadays, modern Internet of Things (IoT) applications are enabling smart cities
across the world. They provide remote device monitoring, management, and control, and …

Towards effective detection of recent DDoS attacks: A deep learning approach

I Ortet Lopes, D Zou, FA Ruambo… - Security and …, 2021 - Wiley Online Library
Distributed Denial of Service (DDoS) is a predominant threat to the availability of online
services due to their size and frequency. However, developing an effective security …

Toward improved machine learning-based intrusion detection for Internet of Things traffic

S Alkadi, S Al-Ahmadi, MM Ben Ismail - Computers, 2023 - mdpi.com
The rapid development of Internet of Things (IoT) networks has revealed multiple security
issues. On the other hand, machine learning (ML) has proven its efficiency in building …

A transfer learning approach for securing resource-constrained IoT devices

S Yılmaz, E Aydogan, S Sen - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In recent years, Internet of Things (IoT) security has attracted significant interest by
researchers due to new characteristics of IoT such as heterogeneity of devices, resource …

A comprehensive survey on secure software‐defined network for the Internet of Things

M Babiker Mohamed, O Matthew Alofe… - Transactions on …, 2022 - Wiley Online Library
Abstract The Internet of Things (IoT) is the network of smart devices, sensors, and machines
that continuously monitored the surrounding environment and execute meaningful decisions …

Towards a hybrid deep learning model for anomalous activities detection in internet of things networks

I Ullah, A Ullah, M Sajjad - IoT, 2021 - mdpi.com
The tremendous number of Internet of Things (IoT) applications, with their ubiquity, has
provided us with unprecedented productivity and simplified our daily life. At the same time …