Cyber Security Meets Machine Learning (PDF)
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Machine learning boosts the capabilities of security solutions in the modern cyber environment. However, there are also security concerns associated with machine learning models and approaches: the vulnerability of machine learning models to adversarial attacks is a fatal flaw in the artificial intelligence technologies, and the privacy of the data used in the training and testing periods is also causing increasing concern among users.
This book reviews the latest research in the area, including effective applications of machine learning methods in cybersecurity solutions and the urgent security risks related to the machine learning models. The book is divided into three parts: Cyber Security Based on Machine Learning; Security in Machine Learning Methods and Systems; and Security and Privacy in Outsourced Machine Learning.
Addressing hot topics in cybersecurity and written by leading researchers in the field, the book features self-contained chapters to allow readers to select topics that are relevant to their needs. It is a valuable resource for all those interested in cybersecurity and robust machine learning, including graduate students and academic and industrial researchers, wanting to gain insights into cutting-edge research topics, as well as related tools and inspiring innovations.
Willy Susilo is the Head of the School of Computing and Information Technology at UOW. Before this role, he was the Head of the School of Computer Science and Software Engineering (SCSSE), Deputy Director of ICT Research Institute and the Academic Program Director for UoW (Singapore). He is also the Director of the Centre for Computer and Information Security Research. He has been awarded a prestigious Australian Research Council (ARC) Future Fellowship. His main research interests include cryptography and computer security, in particular the design of signature schemes. Willy has published more than 350 research papers. He has been awarded various competitive research grants, including ARC Discovery Projects, ARC Linkage Projects, Prime Minister and Cabinet, Microsoft Project, and Smart CRC.
Elisa Bertino is a professor of Computer Science at Purdue University. She serves as Director of the Purdue Cyberspace Security Lab (Cyber2Slab). Before joining Purdue, she was a professor and department head at the Department of Computer Science and Communication of the University of Milan. She has been a visiting researcher at the IBM Research Laboratory in
- 2021, 1st ed. 2021, 163 Seiten, Englisch
- Herausgegeben: Xiaofeng Chen, Willy Susilo, Elisa Bertino
- Verlag: Springer Nature Singapore
- ISBN-10: 9813367261
- ISBN-13: 9789813367265
- Erscheinungsdatum: 02.07.2021
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