Intrusion Detection based on Federated Learning: a systematic review
JL Hernandez-Ramos, G Karopoulos… - arXiv preprint arXiv …, 2023 - arxiv.org
The evolution of cybersecurity is undoubtedly associated and intertwined with the
development and improvement of artificial intelligence (AI). As a key tool for realizing more …
development and improvement of artificial intelligence (AI). As a key tool for realizing more …
Resource allocation and common message selection for task-oriented semantic information transmission with rsma
Image transmission over wireless communications can be used in a variety of applications,
such as smart cities, surveillance systems, and Metaverse construction. In this paper, we …
such as smart cities, surveillance systems, and Metaverse construction. In this paper, we …
Survey on Federated Learning for Intrusion Detection System: Concept, Architectures, Aggregation Strategies, Challenges, and Future Directions
A Khraisat, A Alazab, S Singh, T Jan… - ACM Computing …, 2024 - dl.acm.org
Intrusion Detection Systems (IDS) are essential for securing computer networks by
identifying and mitigating potential threats. However, traditional IDS systems face challenges …
identifying and mitigating potential threats. However, traditional IDS systems face challenges …
Federated and transfer learning-empowered intrusion detection for IoT applications
The Internet of Things (IoT) can be described as a considerable number of sensors and
physical devices connected to different applications, supported with networking …
physical devices connected to different applications, supported with networking …
Incremental update intrusion detection for industry 5.0 security: A graph attention network-enabled approach
The Industry 5.0 (I5) incorporates numerous emerging technologies that enable the
perception, management, interaction, and control of real physical objects. As cyber attacks …
perception, management, interaction, and control of real physical objects. As cyber attacks …
[HTML][HTML] 云边端架构下边缘智能计算关键问题综述: 计算优化与计算卸载
董裕民， 张静， 谢昌佐， 李子扬 - 电子与信息学报, 2024 - jeit.ac.cn
近年来, 随着入网设备数量与数据体量的急剧增加, 以云计算为代表的中心式计算模式的缺点越
来越显露出来. 边缘计算, 即让计算尽量靠近数据源, 以减少数据传输时间和网络延迟 …
来越显露出来. 边缘计算, 即让计算尽量靠近数据源, 以减少数据传输时间和网络延迟 …
Privacy-Preserving Realization of Fuzzy Clustering and Fuzzy Modeling Through Vertical Federated Learning
X Zhu, D Wang, W Pedrycz, Z Li - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this study, we elaborate on a realization of fuzzy clustering and the construction of fuzzy
rule-based models on the basis of vertically partitioned datasets in a privacy-preserving …
rule-based models on the basis of vertically partitioned datasets in a privacy-preserving …
An efficient intrusion detection method based on federated transfer learning and an extreme learning machine with privacy preservation
K Wang, J Li, W Wu - Security and Communication Networks, 2022 - Wiley Online Library
Current network security is becoming increasingly important, and intrusion detection is an
effective method to protect the network from malicious attacks. This study proposes an …
effective method to protect the network from malicious attacks. This study proposes an …
[HTML][HTML] Drift Adaptive Online DDoS Attack Detection Framework for IoT System
Internet of Things (IoT) security is becoming important with the growing popularity of IoT
devices and their wide applications. Recent network security reports revealed a sharp …
devices and their wide applications. Recent network security reports revealed a sharp …
FTLIoT: A federated transfer learning framework for securing IoT
The growing number of Internet of Things (IoT) applications and connected devices has
increased the chance for more cyberattacks against those applications and devices and …
increased the chance for more cyberattacks against those applications and devices and …