Machine learning deep cybersecurity (52 résultats)

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New. In English.

Etat : New.

Taschenbuch. Etat : Neu. Neuware - Unlock the future of cyber defense with Cyber Defense Intelligence. Dive into a world where AI innovations meet cybersecurity, offering the ultimate guide to safeguard against sophisticated threats. Transform your understanding and arm yourself with the best tools for the modern digital battlefield. Learn how real-time algorithms revolutionize threat detection, providing speed and precision previously thought impossible. This book brings the complexities of AI cybersecurity into focus, making them accessible whether you're just beginning or an industry expert looking to refine your skills further. Feel empowered as you grasp techniques in behavioral analysis and machine learning, crucial for preemptive threat identification. Understand the challenges and opportunities AI creates and equip yourself to build stronger, smarter security systems. Enhance your cybersecurity acumen and deliver unparalleled protection to your network. Ensure accuracy and efficacy in your threat detection systems. In Cyber Defense Intelligence, each chapter unfolds practical insights and actionable steps, designed to boost your AI integration from concept to execution. Elevate your strategies and develop a robust, adaptive defense framework. Additional benefits include exclusive case studies, practical implementation guides, and techniques to refine your approach to AI-driven solutions.» Master threat pattern recognition and disrupt future attacks before they occur» Leverage AI to amplify your cybersecurity barrier with effortless precision» Eliminate obsolete defenses and harness real-time AI advancements» Prevent costly breaches by optimizing detection accuracy with strategic insights>Written by an industry veteran with over 25 years of ICT experience, these pages hold the expertise and guidance from a seasoned professional who also offers consultation and training services.…

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

Paperback. Etat : Brand New. 56 pages. 9.25x6.10x0.12 inches. In Stock.

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This SpringerBrief presents the underlying principles of machine learning and how to deploy various deep learning tools and techniques to tackle and solve certain challenges facing the cybersecurity industry.By implementing innovative deep learning solutions, cybersecurity researchers, students and practitioners can analyze patterns and learn how to prevent cyber-attacks and respond to changing malware behavior.The knowledge and tools introduced in this brief can also assist cybersecurity teams to become more proactive in preventing threats and responding to active attacks in real time. It can reduce the amount of time spent on routinetasks and enable organizations to use their resources more strategically. In short, the knowledge and techniques provided in this brief can help make cybersecurity simpler, more proactive, less expensive and far more effectiveAdvanced-level students in computer science studying machine learning with a cybersecurity focus will find this SpringerBrief useful as a study guide. Researchers and cybersecurity professionals focusing on the applicationof machine learning tools and techniques to the cybersecurity domain will also want to purchase this SpringerBrief.…

Etat : New. Print on Demand.

Hardcover. Etat : new. Hardcover. This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. The book covers many of the issues that arise when applying AI and deep learning algorithms to inherently difficult problems in the security domain, such as malware detection and analysis, intrusion detection, spam detection, and various other subfields of cybersecurity. The book places particular attention on data driven approaches, where minimal expert domain knowledge is required.This book bridges some of the gaps that exist between deep learning/AI research and practical problems in cybersecurity. The proposed topics cover a wide range of deep learning and AI techniques, including novel frameworks and development tools enabling the audience to innovate with these cutting-edge research advancements in various security-related use cases. The book is timely since it is not common to find clearly elucidated research that applies the latest developments in AI to problems in cybersecurity. This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Taschenbuch. Etat : Neu. Machine Learning, Deep Learning and AI for Cybersecurity | Mark Stamp (u. a.) | Taschenbuch | ix | Englisch | 2026 | Springer | EAN 9783031831591 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Etat : New. In English.

Etat : As New. Unread book in perfect condition.

Paperback. Etat : New.

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. The book covers many of the issues that arise when applying AI and deep learning algorithms to inherently difficult problems in the security domain, such as malware detection and analysis, intrusion detection, spam detection, and various other subfields of cybersecurity. The book places particular attention on data driven approaches, where minimal expert domain knowledge is required.This book bridges some of the gaps that exist between deep learning/AI research and practical problems in cybersecurity. The proposed topics cover a wide range of deep learning and AI techniques, including novel frameworks and development tools enabling the audience to innovate with these cutting-edge research advancements in various security-related use cases. The book is timely since it is not common to find clearly elucidated research that applies the latest developments in AI to problems in cybersecurity.…

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. The book covers many of the issues that arise when applying AI and deep learning algorithms to inherently difficult problems in the security domain, such as malware detection and analysis, intrusion detection, spam detection, and various other subfields of cybersecurity. The book places particular attention on data driven approaches, where minimal expert domain knowledge is required.This book bridges some of the gaps that exist between deep learning/AI research and practical problems in cybersecurity. The proposed topics cover a wide range of deep learning and AI techniques, including novel frameworks and development tools enabling the audience to innovate with these cutting-edge research advancements in various security-related use cases. The book is timely since it is not common to find clearly elucidated research that applies the latest developments in AI to problems in cybersecurity.…

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Hardcover. Etat : new. Hardcover. This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. The book covers many of the issues that arise when applying AI and deep learning algorithms to inherently difficult problems in the security domain, such as malware detection and analysis, intrusion detection, spam detection, and various other subfields of cybersecurity. The book places particular attention on data driven approaches, where minimal expert domain knowledge is required.This book bridges some of the gaps that exist between deep learning/AI research and practical problems in cybersecurity. The proposed topics cover a wide range of deep learning and AI techniques, including novel frameworks and development tools enabling the audience to innovate with these cutting-edge research advancements in various security-related use cases. The book is timely since it is not common to find clearly elucidated research that applies the latest developments in AI to problems in cybersecurity. This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Etat : New.

Etat : New. In English.

Etat : As New. Unread book in perfect condition.

Hardback. Etat : New.