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 …
[HTML][HTML] The impact of artificial intelligence on organisational cyber security: An outcome of a systematic literature review
I Jada, TO Mayayise - Data and Information Management, 2024 - Elsevier
As digital transformation continues to advance, organisations are becoming increasingly
aware of the benefits that modern technologies offer. However, with greater technology …
aware of the benefits that modern technologies offer. However, with greater technology …
Explainable artificial intelligence in cybersecurity: A survey
Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being's daily
life. Despite the AI benefits, its application suffers from the opacity of complex internal …
life. Despite the AI benefits, its application suffers from the opacity of complex internal …
XGBoost for imbalanced multiclass classification-based industrial internet of things intrusion detection systems
The Industrial Internet of Things (IIoT) has advanced digital technology and the fastest
interconnection, which creates opportunities to substantially grow industrial businesses …
interconnection, which creates opportunities to substantially grow industrial businesses …
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 …
Survey on intrusion detection systems based on machine learning techniques for the protection of critical infrastructure
A Pinto, LC Herrera, Y Donoso, JA Gutierrez - Sensors, 2023 - mdpi.com
Industrial control systems (ICSs), supervisory control and data acquisition (SCADA) systems,
and distributed control systems (DCSs) are fundamental components of critical infrastructure …
and distributed control systems (DCSs) are fundamental components of critical infrastructure …
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 …
Time series prediction of tunnel boring machine (TBM) performance during excavation using causal explainable artificial intelligence (CX-AI)
K Wang, L Zhang, X Fu - Automation In Construction, 2023 - Elsevier
Since early warning is significant to ensure high-quality tunneling boring machine (TBM)
construction, a real-time prediction method based on TBM data is proposed. To solve the …
construction, a real-time prediction method based on TBM data is proposed. To solve the …
Comparative analysis of intrusion detection systems and machine learning based model analysis through decision tree
Cyber-attacks pose increasing challenges in precisely detecting intrusions, risking data
confidentiality, integrity, and availability. This review paper presents recent IDS taxonomy, a …
confidentiality, integrity, and availability. This review paper presents recent IDS taxonomy, a …
A novel intrusion detection framework for optimizing IoT security
The emerging expanding scope of the Internet of Things (IoT) necessitates robust intrusion
detection systems (IDS) to mitigate security risks effectively. However, existing approaches …
detection systems (IDS) to mitigate security risks effectively. However, existing approaches …