Explainable Artificial Intelligence for Cyber Security
Author | : Mohiuddin Ahmed |
Publisher | : Springer Nature |
Total Pages | : 283 |
Release | : 2022-04-18 |
ISBN-10 | : 9783030966300 |
ISBN-13 | : 3030966305 |
Rating | : 4/5 (00 Downloads) |
Download or read book Explainable Artificial Intelligence for Cyber Security written by Mohiuddin Ahmed and published by Springer Nature. This book was released on 2022-04-18 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 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. In coming years, the traditional AI algorithms are not able to address the zero-day cyber attacks, and hence, to capitalize on the AI algorithms, it is absolutely important to focus more on XAI. Hence, this book serves as an excellent reference for those who are working in cyber security and artificial intelligence.