Machine learning cyber trust (19 Ergebnisse)

Taschenbuch. Zustand: Neu. Neuware.

Zustand: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Hardcover. Zustand: new. Hardcover. Many networked computer systems are far too vulnerable to cyber attacks that can inhibit their functioning, corrupt important data, or expose private information. Not surprisingly, the field of cyber-based systems is a fertile ground where many tasks can be formulated as learning problems and approached in terms of machine learning algorithms.This book contains original materials by leading researchers in the area and covers applications of different machine learning methods in the reliability, security, performance, and privacy issues of cyber space. It enables readers to discover what types of learning methods are at their disposal, summarizing the state-of-the-practice in this significant area, and giving a classification of existing work.Those working in the field of cyber-based systems, including industrial managers, researchers, engineers, and graduate and senior undergraduate students will find this an indispensable guide in creating systems resistant to and tolerant of cyber attacks. In cyber-based systems, tasks can be formulated as learning problems and approached as machine-learning algorithms. This book covers applications of machine-learning methods in reliability, security, performance and privacy issues in cyber space. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Many networked computer systems are far too vulnerable to cyber attacks that can inhibit their functioning, corrupt important data, or expose private information. Not surprisingly, the field of cyber-based systems is a fertile ground where many tasks can be formulated as learning problems and approached in terms of machine learning algorithms.This book contains original materials by leading researchers in the area and covers applications of different machine learning methods in the reliability, security, performance, and privacy issues of cyber space. It enables readers to discover what types of learning methods are at their disposal, summarizing the state-of-the-practice in this significant area, and giving a classification of existing work.Those working in the field of cyber-based systems, including industrial managers, researchers, engineers, and graduate and senior undergraduate students will find this an indispensable guide in creating systems resistant to and tolerant of cyber attacks.…

Zustand: New. pp. 380.

Hardcover. Zustand: Brand New. 1st edition. 378 pages. 9.50x6.25x1.00 inches. In Stock.

Buch. Zustand: Neu. Neuware - Many networked computer systems are far too vulnerable to cyber attacks that can inhibit their functioning, corrupt important data, or expose private information. Not surprisingly, the field of cyber-based systems is a fertile ground where many tasks can be formulated as learning problems and approached in terms of machine learning algorithms.This book contains original materials by leading researchers in the area and covers applications of different machine learning methods in the reliability, security, performance, and privacy issues of cyber space. It enables readers to discover what types of learning methods are at their disposal, summarizing the state-of-the-practice in this significant area, and giving a classification of existing work.Those working in the field of cyber-based systems, including industrial managers, researchers, engineers, and graduate and senior undergraduate students will find this an indispensable guide in creating systems resistant to and tolerant of cyber attacks.…

Zustand: New. 2009th edition.

Zustand: New.

Zustand: New. Print on Demand.

Zustand: new. Questo è un articolo print on demand.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Many networked computer systems are far too vulnerable to cyber attacks that can inhibit their functioning, corrupt important data, or expose private information. Not surprisingly, the field of cyber-based systems is a fertile ground where many tasks can be formulated as learning problems and approached in terms of machine learning algorithms.This book contains original materials by leading researchers in the area and covers applications of different machine learning methods in the reliability, security, performance, and privacy issues of cyber space. It enables readers to discover what types of learning methods are at their disposal, summarizing the state-of-the-practice in this significant area, and giving a classification of existing work.Those working in the field of cyber-based systems, including industrial managers, researchers, engineers, and graduate and senior undergraduate students will find this an indispensable guide in creating systems resistant to and tolerant of cyber attacks. 362 pp. Englisch.…

Zustand: New. Print on Demand pp. 380 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Zustand: New. PRINT ON DEMAND pp. 380.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - NIST catalogues four classes of adversarial machine learning attack and OWASP lists ten more for large language models. Most enterprises have inventoried none of them. AI Cybersecurity All-in-One is one reference for the entire AI attack surface, and the defence programme that covers it.The book maps every part of the surface: training data and poisoning, model theft and extraction, membership inference, prompt injection, insecure plugins, agent misuse and the model supply chain. Each attack is paired with the detection, control and assurance evidence that closes it out. It is built for security leaders, architects, engineers and assurance teams who need a single, coherent defence programme rather than a shelf of point solutions.MAP. A complete, inventoried view of every model, dataset, endpoint and agent in the estate, with owners and exposure ratings.HARDEN. Concrete controls against poisoning, extraction, evasion and injection, mapped to ATLAS techniques and CSF 2.0 outcomes.ASSURE. Testing, monitoring and reporting that convince an auditor, an insurer and a regulator that the programme is real.Anchored on NIST AI RMF and AI 600-1, the adversarial ML taxonomy AI 100-2, MITRE ATLAS, the OWASP LLM Top 10, ISO/IEC 42001 and the EU AI Act. Inside this volume: 38 chapters in 11 parts, 6 appendices, 66 figures, 81 tables, 522 primary sources and a 311-term index.Key topics include: generative AI security, LLM security, agentic AI security, adversarial machine learning, data poisoning, model extraction, prompt injection, AI red teaming, AI supply chain security, zero trust for AI, SOC automation, AI assurance and AI regulation.…

Taschenbuch. Zustand: Neu. AI Cybersecurity All-in-One | The Complete Enterprise Reference for Generative AI, LLM Security, Agentic AI, Adversarial Machine Learning, AI Red Teaming, Zero Trust, SOC Automation and Cyber Defence | Kai London | Taschenbuch | Englisch | 2026 | Kai | EAN 9798182825504 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…