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 …
against cyber attacks in order to enable mission critical and real-time applications. To this …
G-ids: Generative adversarial networks assisted intrusion detection system
The boundaries of cyber-physical systems (CPS) and the Internet of Things (IoT) are
converging together day by day to introduce a common platform on hybrid systems …
converging together day by day to introduce a common platform on hybrid systems …
An enhanced AI-based network intrusion detection system using generative adversarial networks
C Park, J Lee, Y Kim, JG Park, H Kim… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
As communication technology advances, various and heterogeneous data are
communicated in distributed environments through network systems. Meanwhile, along with …
communicated in distributed environments through network systems. Meanwhile, along with …
[PDF][PDF] An unsupervised generative adversarial network based-host intrusion detection system for internet of things devices
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 …
disciplines. One of the most efficient approaches is unsupervised learning (UL), a sort of …
Generative deep learning to detect cyberattacks for the IoT-23 dataset
N Abdalgawad, A Sajun, Y Kaddoura… - IEEE …, 2021 - ieeexplore.ieee.org
The rapid growth of Internet of Things (IoT) is expected to add billions of IoT devices
connected to the Internet. These devices represent a vast attack surface for cyberattacks. For …
connected to the Internet. These devices represent a vast attack surface for cyberattacks. For …
Detection of real-time malicious intrusions and attacks in IoT empowered cybersecurity infrastructures
Computer viruses, malicious, and other hostile attacks can affect a computer network.
Intrusion detection is a key component of network security as an active defence technology …
Intrusion detection is a key component of network security as an active defence technology …
Conditional tabular generative adversarial based intrusion detection system for detecting ddos and dos attacks on the internet of things networks
The increasing use of Internet of Things (IoT) devices has led to a rise in Distributed Denial
of Service (DDoS) and Denial of Service (DoS) attacks on these networks. These attacks can …
of Service (DDoS) and Denial of Service (DoS) attacks on these networks. These attacks can …
Analyzing adversarial attacks against deep learning for intrusion detection in IoT networks
Adversarial attacks have been widely studied in the field of computer vision but their impact
on network security applications remains an area of open research. As IoT, 5G and AI …
on network security applications remains an area of open research. As IoT, 5G and AI …
An adaptive deep-ensemble anomaly-based intrusion detection system for the internet of things
K Albulayhi, FT Sheldon - 2021 IEEE World AI IoT Congress …, 2021 - ieeexplore.ieee.org
Nowadays, IoT technology has become an essential part of many aspects of life and
business. Nevertheless, such widespread application has come at the cost of many security …
business. Nevertheless, such widespread application has come at the cost of many security …
Deep adversarial learning in intrusion detection: A data augmentation enhanced framework
Intrusion detection systems (IDSs) play an important role in identifying malicious attacks and
threats in networking systems. As fundamental tools of IDSs, learning based classification …
threats in networking systems. As fundamental tools of IDSs, learning based classification …