Artificial Intelligence for Cybersecurity : Develop AI approaches to solve cybersecurity problems in your organization

Gain well-rounded knowledge of AI methods in cybersecurity and obtain hands-on experience in implementing them to bring value to your organization. Key Features: Familiarize yourself with AI methods and approaches and see how they fit into cybersecurity ; Learn how to design solutions in cybersecuri...

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Bibliografiset tiedot
Päätekijät: Kolosnjaji, Bojan, Xiao, Huang (Tekijä), Xu, Peng (Tekijä), Zarras, Apostolis (Tekijä)
Aineistotyyppi: Livre numérique
Kieli:Anglais
Julkaistu: Birmingham : Packt Publishing 2024.
Paris : Cyberlibris
Linkit:Accès Université d'Orléans et IFPM
Huomautus: Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781805123552.jpg
Cyberlibris (ScholarVox) corpus Informatique
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Artificial Intelligence for Cybersecurity, Develop AI approaches to solve cybersecurity problems in your organization, Bojan Kolosnjaji, Huang Xiao, Peng Xu, [et autre], Birmingham, Packt Publishing, 2024, 1 vol. (358 p.), 978-18-0512-496-2
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245 1 0 |a Artificial Intelligence for Cybersecurity :  |b Develop AI approaches to solve cybersecurity problems in your organization   |c Bojan Kolosnjaji, Huang Xiao, Peng Xu, [et autre]. 
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260 |a Paris :  |b Cyberlibris,  |c 2024. 
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506 |a L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement. Cyberlibris 
520 |a Gain well-rounded knowledge of AI methods in cybersecurity and obtain hands-on experience in implementing them to bring value to your organization. Key Features: Familiarize yourself with AI methods and approaches and see how they fit into cybersecurity ; Learn how to design solutions in cybersecurity that include AI as a key feature ; Acquire practical AI skills using step-by-step exercises and code examples. Book Description: 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. What you will learn: Recognize AI as a powerful tool for intelligence analysis of cybersecurity data ; Explore all the components and workflow of an AI solution ; Find out how to design an AI-based solution for cybersecurity ; Discover how to test various AI-based cybersecurity solutions ; Evaluate your AI solution and describe its advantages to your organization ; Avoid common pitfalls and difficulties when implementing AI solutions. Who this book is for: This book is for machine learning practitioners looking to apply their skills to overcome cybersecurity challenges. Cybersecurity workers who want to leverage machine learning methods will also find this book helpful. Fundamental concepts of machine learning and beginner-level knowledge of Python programming are needed to understand the concepts present in this book. Whether you're a student or an experienced professional, this book offers a unique and valuable learning experience that will enable you to protect your network and data against the ever-evolving threat landscape 
700 1 |a Xiao, Huang.  |4 aut 
700 1 |a Xu, Peng.  |4 aut 
700 1 |a Zarras, Apostolis.  |4 aut 
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