Description: Artificial Intelligence for Cybersecurity by Bojan Kolosnjaji, Apostolis Zarras, Huang Xiao, Peng Xu Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Gain well-rounded knowledge of AI methods in cybersecurity and obtain hands-on experience in implementing them to bring value to your organizationKey FeaturesFamiliarize yourself with AI methods and approaches and see how they fit into cybersecurityLearn how to design solutions in cybersecurity that include AI as a key featureAcquire practical AI skills using step-by-step exercises and code examplesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionArtificial 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. Youll also examine various cybersecurity scenarios where AI methods are applicable, including exercises and code examples thatll 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, youll 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 learnRecognize AI as a powerful tool for intelligence analysis of cybersecurity dataExplore all the components and workflow of an AI solutionFind out how to design an AI-based solution for cybersecurityDiscover how to test various AI-based cybersecurity solutionsEvaluate your AI solution and describe its advantages to your organizationAvoid common pitfalls and difficulties when implementing AI solutionsWho this book is forThis 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 youre 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. Author Biography Bojan Kolosnjaji is a researcher working at the intersection of artificial intelligence (AI) and cybersecurity. He has obtained his masters and PhD degrees in computer science from the Technical University of Munich (TUM), where he conducted research in anomaly detection methods in constrained environments. Bojans academic work deals with anomaly detection problems in multiple cybersecurity-relevant scenarios, and the design of AI-based solutions to these problems. Bojan is currently working as a principal engineer in cybersecurity sciences and analytics, helping various cybersecurity teams deal with large-scale data, adopt AI practices and solutions, and understand security challenges in AI systems. Xiao Huang holds a doctorate in computer science from TUM. He is also a visiting scholar at Stanford University. His main research interests include adversarial machine learning (ML), reinforcement learning, anomaly detection, trusted AI, and AI applications in cybersecurity. Huang has published several top-tier conference and journal papers with over a thousand citations in both the ML and security domains. He led the ML research group at Fraunhofer AISEC Institute in Munich and also worked as a research scientist at Bosch Center for AI. He managed a data scientist team that designed and developed ML systems to tackle different cybersecurity problems. Peng Xu has focused on AI for system security, large language model (LLM) security, graph neural networks, program analysis, compiler design, optimization, and cybersecurity. He completed his masters at the Chinese Academy of Science in 2013 and pursued a PhD in IT security at TUM from 2015 to 2019. He is currently awaiting his dissertation defense. Pengs research topics include malware detection, private computation, and software vulnerability mitigation using compiler-based approaches. Peng is currently working as a principal engineer in compiler optimization and programming LLMs, especially on the topics of using LLMs to generate code blocks to detect malicious code as well as bug localization. Apostolis Zarras is a cybersecurity researcher with a rich academic background. He has served as a faculty member at both Delft University of Technology and Maastricht University. Dr. Zarras earned his PhD in IT security from Ruhr-University Bochum, where he honed his expertise in systems, networks, and web security. His research is driven by a passion for developing innovative security paradigms, architectures, and software that fortify ICT and IoT systems. Beyond his technical contributions, Dr. Zarras delves into the dark web and its underground markets, uncovering and combating malicious activities to bolster global cybersecurity. His work is dedicated to advancing IT security and protecting users and systems from emerging cyber threats. Details ISBN 180512496X ISBN-13 9781805124962 Title Artificial Intelligence for Cybersecurity Author Bojan Kolosnjaji, Apostolis Zarras, Huang Xiao, Peng Xu Format Paperback Year 2024 Pages 358 Publisher Packt Publishing Limited GE_Item_ID:168274957; About Us Grand Eagle Retail is the ideal place for all your shopping needs! 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Price: 53.1 USD
Location: Fairfield, Ohio
End Time: 2024-12-22T08:09:15.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9781805124962
Book Title: Artificial Intelligence for Cybersecurity
Publication Name: Artificial Intelligence for Cybersecurity : Learn How AI Intersects with Cybersecurity and How to Develop AI Approaches to Solve Cybersecurity Problems in Your Organization
Subject: Security / General, General
Publisher: Packt Publishing, The Limited
Language: English
Item Width: 75 in
Subject Area: Mathematics, Computers
Author: Apostolis Zarras, Peng Xu, Bojan Kolosnjaji, Huang Xiao
Publication Year: 2024
Item Length: 92.5 in
Type: Textbook
Format: Trade Paperback
