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Artificial Intelligence for Cybersecurity. Develop AI approaches to solve cybersecurity problems in your organization Bojan Kolosnjaji, Huang Xiao, Peng Xu, Apostolis Zarras

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Artificial Intelligence for Cybersecurity. Develop AI approaches to solve cybersecurity problems in your organization Bojan Kolosnjaji, Huang Xiao, Peng Xu, Apostolis Zarras - okladka książki

Artificial Intelligence for Cybersecurity. Develop AI approaches to solve cybersecurity problems in your organization Bojan Kolosnjaji, Huang Xiao, Peng Xu, Apostolis Zarras - okladka książki

Autorzy:
Bojan Kolosnjaji, Huang Xiao, Peng Xu, Apostolis Zarras
Serie wydawnicze:
Hands-on
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
358
Dostępne formaty:
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     ePub

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Artificial intelligence offers data analytics methods that enable us to efficiently recognize patterns in large-scale data. These methods can be applied to various cybersecurity problems, from authentication and the detection of various types of cyberattacks in computer networks to the analysis of malicious executables.
Written by a machine learning expert, this book introduces you to the data analytics environment in cybersecurity and shows you where AI methods will fit in your cybersecurity projects. The chapters share an in-depth explanation of the AI methods along with tools that can be used to apply these methods, as well as design and implement AI solutions. You’ll also examine various cybersecurity scenarios where AI methods are applicable, including exercises and code examples that’ll help you effectively apply AI to work on cybersecurity challenges. The book also discusses common pitfalls from real-world applications of AI in cybersecurity issues and teaches you how to tackle them.
By the end of this book, you’ll be able to not only recognize where AI methods can be applied, but also design and execute efficient solutions using AI methods.

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O autorach książki

Bojan Kolosnjaji has been working in the intersection of AI and cybersecurity for over 10 years. He has finished his Master's studies at the Technical University of Munich and obtained a doctoral degree at the same University in the year 2019. Bojan's academic work deals with anomaly detection problems in multiple cybersecurity-relevant scenarios, and design of AI-based solutions to these problems. His work has been presented in multiple Cybersecurity and Artificial Intelligence conferences and used in industrial real-world setting. Bojan is currently working as a Principal Engineer in Cybersecurity Sciences and Analytics, helping various cybersecurity teams adopt AI practices and solutions.
Apostolis Zarras is a Researcher at University of Piraeus, specialising in Cybersecurity, Machine Learning.

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