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Machine Learning for Cyber Security, Xiaofeng Chen; Xinyi Huang; Jun Zhang


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Цена: 61480.00T
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Склад Америка: 205 шт.  
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Xiaofeng Chen; Xinyi Huang; Jun Zhang
Название:  Machine Learning for Cyber Security
ISBN: 9783030306182
Издательство: Springer
Классификация:




ISBN-10: 3030306186
Обложка/Формат: Soft cover
Страницы: 398
Вес: 0.63 кг.
Дата издания: 2019
Серия: Lecture notes in computer science
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 90 illustrations, color; 111 illustrations, black and white; xiii, 398 p. 201 illus., 90 illus. in color.
Размер: 234 x 156 x 22
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: Second International Conference, ML4CS 2019, Xi’an, China, September 19-21, 2019, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the proceedings of the Second International Conference on Machine Learning for Cyber Security, ML4CS 2019, held in Xi`an, China in September 2019. The 23 revised full papers and 3 short papers presented were carefully reviewed and selected from 70 submissions.

Computer Age Statistical Inference

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 60190.00 T
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Cyber Security Cryptography and Machine Learning

Автор: Shlomi Dolev; Sachin Lodha
Название: Cyber Security Cryptography and Machine Learning
ISBN: 3319600796 ISBN-13(EAN): 9783319600796
Издательство: Springer
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Цена: 60550.00 T
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Описание: This book constitutes the proceedings of the first International Symposium on Cyber Security Cryptography and Machine Learning, held in Beer-Sheva, Israel, in June 2017. The 17 full and 4 short papers presented include cyber security; secure software development methodologies, formal methods semantics and verification of secure systems;

Social Network Forensics, Cyber Security, and Machine Learning

Автор: Krishna P. Venkata, Gurumoorthy Sasikumar, Obaidat Mohammad S.
Название: Social Network Forensics, Cyber Security, and Machine Learning
ISBN: 9811314551 ISBN-13(EAN): 9789811314551
Издательство: Springer
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Цена: 55890.00 T
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Описание: This book discusses the issues and challenges in Online Social Networks (OSNs). It highlights various aspects of OSNs consisting of novel social network strategies and the development of services using different computing models. Moreover, the book investigates how OSNs are impacted by cutting-edge innovations.

Handbook of Research on Machine and Deep Learning Applications for Cyber Security

Автор: Padmavathi Ganapathi, D. Shanmugapriya
Название: Handbook of Research on Machine and Deep Learning Applications for Cyber Security
ISBN: 1522596119 ISBN-13(EAN): 9781522596110
Издательство: Mare Nostrum (Eurospan)
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Цена: 264270.00 T
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Описание: As the advancement of technology continues, cyber security continues to play a significant role in today's world. With society becoming more dependent on the internet, new opportunities for virtual attacks can lead to the exposure of critical information. Machine and deep learning techniques to prevent this exposure of information are being applied to address mounting concerns in computer security.

The Handbook of Research on Machine and Deep Learning Applications for Cyber Security is a pivotal reference source that provides vital research on the application of machine learning techniques for network security research. While highlighting topics such as web security, malware detection, and secure information sharing, this publication explores recent research findings in the area of electronic security as well as challenges and countermeasures in cyber security research. It is ideally designed for software engineers, IT specialists, cybersecurity analysts, industrial experts, academicians, researchers, and post-graduate students.

Machine Learning and Cognitive Science Applications in Cyber Security

Автор: Muhammad Salman Khan
Название: Machine Learning and Cognitive Science Applications in Cyber Security
ISBN: 1522581006 ISBN-13(EAN): 9781522581000
Издательство: Mare Nostrum (Eurospan)
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Цена: 196460.00 T
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Описание: In the past few years, with the evolution of advanced persistent threats and mutation techniques, sensitive and damaging information from a variety of sources have been exposed to possible corruption and hacking. Machine learning, artificial intelligence, predictive analytics, and similar disciplines of cognitive science applications have been found to have significant applications in the domain of cyber security. Machine Learning and Cognitive Science Applications in Cyber Security examines different applications of cognition that can be used to detect threats and analyze data to capture malware. Highlighting such topics as anomaly detection, intelligent platforms, and triangle scheme, this publication is designed for IT specialists, computer engineers, researchers, academicians, and industry professionals interested in the impact of machine learning in cyber security and the methodologies that can help improve the performance and reliability of machine learning applications.

An Introduction to Machine Learning

Автор: Miroslav Kubat
Название: An Introduction to Machine Learning
ISBN: 3319348868 ISBN-13(EAN): 9783319348865
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications.

Machine Learning and Data Mining for Computer Security

Автор: Marcus A. Maloof
Название: Machine Learning and Data Mining for Computer Security
ISBN: 1849965447 ISBN-13(EAN): 9781849965446
Издательство: Springer
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Цена: 130430.00 T
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Описание: "Machine Learning and Data Mining for Computer Security" provides an overview of the current state of research in machine learning and data mining as it applies to problems in computer security.

Artificial Intelligence Safety and Security

Автор: Yampolskiy Roman V.
Название: Artificial Intelligence Safety and Security
ISBN: 0815369824 ISBN-13(EAN): 9780815369820
Издательство: Taylor&Francis
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Цена: 53070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses different aspects of the AI control problem as it relates to the development of safe and secure artificial intelligence. It will be the first to address challenges of constructing safe and secure artificially intelligent systems.

Artificial intelligence safety and security

Название: Artificial intelligence safety and security
ISBN: 1138320846 ISBN-13(EAN): 9781138320840
Издательство: Taylor&Francis
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Цена: 137810.00 T
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Описание: This book addresses different aspects of the AI control problem as it relates to the development of safe and secure artificial intelligence. It will be the first to address challenges of constructing safe and secure artificially intelligent systems.

Adversarial Machine Learning

Автор: Anthony D. Joseph, Blaine Nelson, Benjamin I. P. Rubinstein, J. D. Tygar
Название: Adversarial Machine Learning
ISBN: 1107043468 ISBN-13(EAN): 9781107043466
Издательство: Cambridge Academ
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Цена: 83430.00 T
Наличие на складе: Невозможна поставка.
Описание: Combining essential theory and practical techniques for analysing system security, and building robust machine learning in adversarial environments, as well as including case studies on email spam and network security, this complete introduction is an invaluable resource for researchers, practitioners and students in computer security and machine learning.

Adversarial Machine Learning

Автор: Yevgeniy Vorobeychik, Murat Kantarcioglu
Название: Adversarial Machine Learning
ISBN: 1681733978 ISBN-13(EAN): 9781681733975
Издательство: Mare Nostrum (Eurospan)
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Цена: 91470.00 T
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Описание: Recounts the thrilling tale of America`s first spy drama - the legendary Frank Wisner`s intelligence operations in Romania as World War II ended and the Cold War dawned. Painstakingly reconstructed with the aid of specialised literature and archival collections, the story that emerges is one of danger and stealth, a real-life spy thriller unfolding just as the Cold War began.

Bio-inspiring Cyber Security and Cloud Services: Trends and Innovations

Автор: Aboul Ella Hassanien; Tai-Hoon Kim; Janusz Kacprzy
Название: Bio-inspiring Cyber Security and Cloud Services: Trends and Innovations
ISBN: 3662436159 ISBN-13(EAN): 9783662436158
Издательство: Springer
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Цена: 174150.00 T
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Описание: This volume presents recent research in cyber security and reports how organizations can gain competitive advantages by applying the different security techniques in real-world scenarios.


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