A Critical Review of Artificial Intelligence Based Approaches in Intrusion Detection: A Comprehensive Analysis
Intrusion detection (ID) is critical in securing computer networks against various malicious
attacks. Recent advancements in machine learning (ML), deep learning (DL), federated …
attacks. Recent advancements in machine learning (ML), deep learning (DL), federated …
On the ICN-IoT with federated learning integration of communication: Concepts, security-privacy issues, applications, and future perspectives
The individual and integration use of the Internet of Things (IoT), Information-Centric
Networking (ICN), and Federated Learning (FL) have recently been used in several network …
Networking (ICN), and Federated Learning (FL) have recently been used in several network …
Survey on Unified Threat Management (UTM) Systems for Home Networks
Home networks increasingly support important networked applications with limited
professional network administration support, while sophisticated attacks pose enormous …
professional network administration support, while sophisticated attacks pose enormous …
Federated learning for the healthcare metaverse: Concepts, applications, challenges, and future directions
Recent technological advancements have considerably improved healthcare systems to
provide various intelligent services, improving life quality. The Metaverse, often described as …
provide various intelligent services, improving life quality. The Metaverse, often described as …
Enhanced collaborative intrusion detection for industrial cyber-physical systems using permissioned blockchain and decentralized federated learning networks
In the digital economy, the security of Cyber-Physical Systems (CPSs) is paramount. Despite
the deployment of various Intrusion Detection Systems (IDSs) in industrial CPSs, the primary …
the deployment of various Intrusion Detection Systems (IDSs) in industrial CPSs, the primary …
[HTML][HTML] GöwFed: A novel federated network intrusion detection system
Network intrusion detection systems are evolving into intelligent systems that perform data
analysis while searching for anomalies in their environment. Indeed, the development of …
analysis while searching for anomalies in their environment. Indeed, the development of …
CPS attack detection under limited local information in cyber security: an ensemble multi-node multi-class classification approach
Cybersecurity breaches are common anomalies for distributed cyber-physical systems
(CPS). However, the cyber security breach classification is still a difficult problem, even …
(CPS). However, the cyber security breach classification is still a difficult problem, even …
Cross-layer federated learning for lightweight iot intrusion detection systems
With the proliferation of IoT devices, ensuring the security and privacy of these devices and
their associated data has become a critical challenge. In this paper, we propose a federated …
their associated data has become a critical challenge. In this paper, we propose a federated …
Flbc-ids: a federated learning and blockchain-based intrusion detection system for secure iot environments
A Govindaram - Multimedia Tools and Applications, 2024 - Springer
The development of the Internet of Things (IoT) in multiple sectors has led to substantial
security issues due to its decentralized structure and resource limits. To solve these …
security issues due to its decentralized structure and resource limits. To solve these …
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 …