Explainable artificial intelligence (xai) for intrusion detection and mitigation in intelligent connected vehicles: A review
The potential for an intelligent transportation system (ITS) has been made possible by the
growth of the Internet of things (IoT) and artificial intelligence (AI), resulting in the integration …
growth of the Internet of things (IoT) and artificial intelligence (AI), resulting in the integration …
A survey on data-driven network intrusion detection
Data-driven network intrusion detection (NID) has a tendency towards minority attack
classes compared to normal traffic. Many datasets are collected in simulated environments …
classes compared to normal traffic. Many datasets are collected in simulated environments …
Classification and explanation for intrusion detection system based on ensemble trees and SHAP method
In recent years, many methods for intrusion detection systems (IDS) have been designed
and developed in the research community, which have achieved a perfect detection rate …
and developed in the research community, which have achieved a perfect detection rate …
Intrusion detection system for large-scale IoT NetFlow networks using machine learning with modified Arithmetic Optimization Algorithm
With the rapid expansion of Internet of Things (IoT) networks, the need for robust security
measures to detect and report potential threats is becoming more urgent. In this paper, we …
measures to detect and report potential threats is becoming more urgent. In this paper, we …
Explainable intrusion detection systems (x-ids): A survey of current methods, challenges, and opportunities
The application of Artificial Intelligence (AI) and Machine Learning (ML) to cybersecurity
challenges has gained traction in industry and academia, partially as a result of widespread …
challenges has gained traction in industry and academia, partially as a result of widespread …
Blockchain and federated learning-based intrusion detection approaches for edge-enabled industrial IoT networks: A survey
S Ali, Q Li, A Yousafzai - Ad Hoc Networks, 2024 - Elsevier
The industrial internet of things (IIoT) is an evolutionary extension of the traditional Internet of
Things (IoT) into processes and machines for applications in the industrial sector. The IIoT …
Things (IoT) into processes and machines for applications in the industrial sector. The IIoT …
Explainable artificial intelligence (xai) for internet of things: a survey
Artificial intelligence (AI) and machine learning (ML) are widely employed to make the
solutions more accurate and autonomous in many smart and intelligent applications in the …
solutions more accurate and autonomous in many smart and intelligent applications in the …
Cyber threat intelligence sharing scheme based on federated learning for network intrusion detection
The uses of machine learning (ML) technologies in the detection of network attacks have
been proven to be effective when designed and evaluated using data samples originating …
been proven to be effective when designed and evaluated using data samples originating …
Recursive feature elimination with cross-validation with decision tree: Feature selection method for machine learning-based intrusion detection systems
The frequency of cyber-attacks on the Internet of Things (IoT) networks has significantly
increased in recent years. Anomaly-based network intrusion detection systems (NIDSs) offer …
increased in recent years. Anomaly-based network intrusion detection systems (NIDSs) offer …
ROULETTE: A neural attention multi-output model for explainable network intrusion detection
Abstract Network Intrusion Detection (NID) systems are one of the most powerful forms of
defense for protecting public and private networks. Most of the prominent methods applied to …
defense for protecting public and private networks. Most of the prominent methods applied to …