Titlebook: Explainable Artificial Intelligence for Cyber Security; Next Generation Arti Mohiuddin Ahmed,Sheikh Rabiul Islam,Al-Sakib Khan Book 2022 T

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1860-949X able Artificial Intelligence for Cyber Security.Provides int.This book presents that explainable artificial intelligence (XAI) is going to replace the traditional artificial, machine learning, deep learning algorithms which work as a black box as of today. To understand the algorithms better and int

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Kristin M. Hunter,Anthony O. Ahmedrs with new and exciting technological advancements being developed every single day. This chapter aims to highlight and critically evaluate the practical and ethical challenges brought about by the advancement of AI and ML as well as identifying any research gaps and suggesting areas where further exploration is required.

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Book 2022orithms which work as a black box as of today. To understand the algorithms better and interpret the complex networks of these algorithms, XAI plays a vital role. In last few decades, we have embraced AI in our daily life to solve a plethora of problems, one of the notable problems is cyber security

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Reflective Inquiry in the Roundral notable models such as Adaboost and random forest. Thus, based on the performance demonstrated with the NSL-KDD and TON_IoT datasets, XGBoost appears to be a promising cybersecurity machine learning method that could prove applicable to the classification of cybersecurity attacks.

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,Artificial Intelligence: Practical and?Ethical Challenges,rs with new and exciting technological advancements being developed every single day. This chapter aims to highlight and critically evaluate the practical and ethical challenges brought about by the advancement of AI and ML as well as identifying any research gaps and suggesting areas where further exploration is required.

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978-3-030-96632-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl