… including intrusion detection, malware detection, and spam filtering. However, although
Artificial Intelligence-based approaches for the detection and defense of cyber attacks and …

… For this reason, explainable artificial intelligence (XAI) is gaining relevance thanks to its …
of an intrusion detection system (IDS) using machine learning and explainable techniques that …

… Explainable Artificial Intelligence it is worth 411 considering also [37] where are identified
future research 412 directions with Explainability … complexity for identifying 457 Cyber-attacks. …

… goal is to explain the data that is misclassified by data-driven intrusion detection systems. …
Every day, different types of cyberattacks are developed that aim to confuse IDSs. Therefore…

… can rely on to prevent and defend against cyber-attacks [1]. … and the topic eXplainable
Artificial Intelligence (XAI) to justify … AI, explainable AI, and explainable AI and intrusion detection …

… rulebased and signature-based cybersecurity strategies and how the use of AI, including
ML and DL, can enhance the detection and defense of cyber attacks, such as intrusion …

… of cyber-attack detection in ICS. An evaluation of the proposed model’s efficacy in identifying
… handled the privacy issue of using Artificial Intelligence (AI) and ML, none of them is used in …

… explainable intrusion detection system (IDS), which combined an opaque classifier based
on an artificial neural network (… decision of a given input is explained by the DT’s decision on …

… explainable artificial intelligence for cyber security by providing a bigger picture of the core
concepts, intelligent … 10 highlights malicious tags identification for the Internet of Things (IoT). …

… System (IV-IDS) is one of the protection mechanisms to detect cyber attacks on automotive
vehicles. Using artificial intelligence (AI) for anomaly detection to thwart cyber attacks is …