… , explainable ML for cybersecurity has become a necessary and important research branch.
In this paper, we present the topic of explainable ML in cybersecurity … to solve cybersecurity …

… oaches have motivated numerous researchers to develop explainable AI (XAI) techniques.
In … characteristics of cybersecurity data and the growing calls for advanced, explainable AI-…

… the field of explainable artificial intelligence have contributed … This study develops an
Explainable Artificial Intelligence … LIME for better understanding and explainability of the black-box …

… In this research, explainable machine learning is used to extract information from the CIC-IDS2017
dataset and to critically contrast the knowledge attained by analyzing if–then decision …

… by a proportional investment in cybersecurity, exposing … an Artificial Intelligence (AI)
information systems solution implemented in a mid-size organization facing significant cybersecurity …

… study of explainable AI (XAI) based cybersecurity modeling through … them in DT environments
in an intelligent manner. We discuss how … framework using explainable machine learning …

… Cybersecurity is a domain where there is constant change in patterns of attack, and we need
ways to make our Cybersecurity … DARPA's explainable artificial intelligence (XAI) program. …

… rise to research on Explainable Artificial Intelligence (XAI). … knowledge aided explainable
artificial intelligence for intrusion … approach to adaptive cybersecurity using explainable ai,” …

… Artificial intelligence (AI) is at the core of the future of Army technology. The US Department
… Cyber security analysis tools will be powered by state-of-the-art AI. Such AI will work …

… This chapter explores explainable AI (XAI) techniques as a solution to these challenges and
… application in cybersecurity. The chapter begins with an explanation of AI in cybersecurity, …