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Artificial Intelligence for Cybersecurity. Learn how AI intersects with Cybersecurity and how to develop AI approaches to solve Cybersecurity problems in your organization

(ebook) (audiobook) (audiobook) Książka w języku angielskim
Artificial Intelligence for Cybersecurity. Learn how AI intersects with Cybersecurity and how to develop AI approaches to solve Cybersecurity problems in your organization Bojan Kolosnjaji, Xiao Huang, Peng XU, Apostolis Zarras - okladka książki

Artificial Intelligence for Cybersecurity. Learn how AI intersects with Cybersecurity and how to develop AI approaches to solve Cybersecurity problems in your organization Bojan Kolosnjaji, Xiao Huang, Peng XU, Apostolis Zarras - okladka książki

Artificial Intelligence for Cybersecurity. Learn how AI intersects with Cybersecurity and how to develop AI approaches to solve Cybersecurity problems in your organization Bojan Kolosnjaji, Xiao Huang, Peng XU, Apostolis Zarras - audiobook MP3

Artificial Intelligence for Cybersecurity. Learn how AI intersects with Cybersecurity and how to develop AI approaches to solve Cybersecurity problems in your organization Bojan Kolosnjaji, Xiao Huang, Peng XU, Apostolis Zarras - audiobook CD

Ocena:
Cybersecurity is an area of increasing importance and a requirement for every software system. Problems in cybersecurity require adaptive data-driven solutions to be one step ahead of the attackers. AI offers methods of data analytics that enable us to efficiently recognize patterns in large-scale data. These methods have proven to be applicable in various cybersecurity problems, from authentication, detection of various types of cyberattacks in computer networks to the analysis of malicious executables.
This book begins by introducing the data analytics environment in Cybersecurity and gives context on where AI methods would fit in Cybersecurity projects. It takes you on a journey with an in-depth explanation of AI methods and tools that can be used to apply those methods, design and implement AI solutions. Furthermore, it contains descriptions of scenarios in Cybersecurity where AI methods are applicable, including exercises and code examples that give the reader hands-on skills in applications of AI to Cybersecurity problems. This makes you capable to not only recognize where AI methods can be applied, but also to design and implement efficient solutions using AI methods. To make you even more effective, we add some common pitfalls from real-world applications of AI in cybersecurity problems and give considerations on how to deal with them.

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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.
Huang Xiao is a Principal researcher at HSBC, skilled in Machine Learning, Data Science, Cybersecurity.
Peng Xu is working as a Principal Engineer/Field Expert at Huawei. He is skilled in Machine Learning, Compiler & Programming Language, Cybersecurity.
Apostolis Zarras is a Researcher at University of Piraeus, specialising in Cybersecurity, Machine Learning.

Packt Publishing - inne książki

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