Artificial Intelligence for Cybersecurity - Bojan Kolosnjaji, Xiao Huang, Peng Xu, Apostolis Zarras

Artificial Intelligence for Cybersecurity

Learn how AI intersects with Cybersecurity and how to develop AI approaches to solve Cybersecurity problems in your organization
Buch | Softcover
2024
Packt Publishing Limited (Verlag)
978-1-80512-496-2 (ISBN)
47,35 inkl. MwSt
Get a well-rounded knowledge of Artificial Intelligence methods applied to Cybersecurity and obtain hands-on skills in implementing AI methods for various problems in Cybersecurity. Bring value to your organization using cutting-edge AI technology.

Key Features

Get introduced to AI methods and approaches and how they fit into Cybersecurity
Learn how to design solutions in Cybersecurity that include AI as a key feature
Obtain hands-on AI skills using step-by-step exercises and code examples

Book DescriptionCybersecurity 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.What you will learn

Recognize AI as a powerful tool for intelligence analysis of cybersecurity data
Learn all the components and workflow of an AI solution
Find out how to design an AI-based solutions for cybersecurity
Develop and test various AI-based cybersecurity solutions
Evaluate your AI solution and describe its advantages to your organisation
Learn how to avoid common pitfalls and difficulties when implementing AI solutions

Who this book is forThis book is aimed at Machine learning practitioners interested in applying their skills to cyber security issues. It is also for Cyber Security workers interested in leveraging machine learning methods. Fundamental concepts of machine learning and beginner level knowledge of Python Programming is needed for this book. Whether you are a student or an experienced professional, this book offers a unique and valuable learning experience that will give you the skills to protect your network and data against the ever-evolving threat landscape.

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.

Table of Contents

Big Data in Cybersecurity
Automation in Cybersecurity
Security Data Analytics
AI, Machine Learning, Statistics - A Taxonomy
AI Problems and Methods
Workflow, tools and libraries in AI Projects
Malware and network intrusion detection and analysis
User and Entity Behavior Analysis
Fraud, Spam, and Phishing detection
User Authentication and Access Control
Threat Intelligence
Anomaly detection in Industrial Control Systems
Data quality
Correlation, Causation, Bias, Variance
Evaluation, monitoring and feedback loop
Learning in a Changing and Adversarial Environment
Privacy, Accountability, Explainability and Trust - Responsible AI
Summary
Where to go from here?

Erscheinungsdatum
Verlagsort Birmingham
Sprache englisch
Maße 191 x 235 mm
Themenwelt Informatik Netzwerke Sicherheit / Firewall
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Informatik Weitere Themen Hardware
Technik
ISBN-10 1-80512-496-X / 180512496X
ISBN-13 978-1-80512-496-2 / 9781805124962
Zustand Neuware
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von Claudia Eckert

Buch | Hardcover (2023)
De Gruyter Oldenbourg (Verlag)
84,95