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Machine Learning for Cyber Agents: Attack and Defence, Abaimov Stanislav, Martellini Maurizio


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Автор: Abaimov Stanislav, Martellini Maurizio
Название:  Machine Learning for Cyber Agents: Attack and Defence
ISBN: 9783030915841
Издательство: Springer
Классификация:



ISBN-10: 3030915840
Обложка/Формат: Hardcover
Страницы: 244
Вес: 0.52 кг.
Дата издания: 28.02.2022
Серия: Advanced sciences and technologies for security applications
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 23 illustrations, color; 4 illustrations, black and white; xv, 227 p. 27 illus., 23 illus. in color.; 23 illustrations, color; 4 illustrations, black
Размер: 23.39 x 15.60 x 1.42 cm
Читательская аудитория: Professional & vocational
Подзаголовок: International and domestic perspectives on defendants and detainees with mental illness / perspectives internationales et nationales sur les prevenus et les detenus atteints de maladie mentale
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: The cyber world has been both enhanced and endangered by AI. On the one hand, the performance of many existing security services has been improved, and new tools created. On the other, it entails new cyber threats both through evolved attacking capacities and through its own imperfections and vulnerabilities. Moreover, quantum computers are further pushing the boundaries of what is possible, by making machine learning cyber agents faster and smarter. With the abundance of often-confusing information and lack of trust in the diverse applications of AI-based technologies, it is essential to have a book that can explain, from a cyber security standpoint, why and at what stage the emerging, powerful technology of machine learning can and should be mistrusted, and how to benefit from it while avoiding potentially disastrous consequences. In addition, this book sheds light on another highly sensitive area – the application of machine learning for offensive purposes, an aspect that is widely misunderstood, under-represented in the academic literature and requires immediate expert attention.
Дополнительное описание: 1. Introduction.- 2. Understanding Machine Learning.- 3. Defence.- 4. Attack.- 5. Feasibility and Misconceptions.- 6. International resonance.- 7. Prospects.- 8. Conclusion.



Linear Algebra and Learning from Data

Автор: Strang Gilbert
Название: Linear Algebra and Learning from Data
ISBN: 0692196382 ISBN-13(EAN): 9780692196380
Издательство: Cambridge Academ
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Цена: 9978.00 р.
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Описание: Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.

Machine Learning for Cyber Physical Systems

Автор: J?rgen Beyerer; Oliver Niggemann; Christian K?hner
Название: Machine Learning for Cyber Physical Systems
ISBN: 3662538059 ISBN-13(EAN): 9783662538050
Издательство: Springer
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Цена: 23757.00 р.
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Описание: The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, September 29th, 2016. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.

Machine Learning for Cyber Physical Systems

Автор: Oliver Niggemann; J?rgen Beyerer
Название: Machine Learning for Cyber Physical Systems
ISBN: 3662488361 ISBN-13(EAN): 9783662488362
Издательство: Springer
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Цена: 19591.00 р.
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Описание: Development of a Cyber-Physical System based on selective dynamic Gaussian naive Bayes model for a self-predict laser surface heat treatment processcontrol.- Evidence Grid Based Information Fusion for Semantic Classifiers in Dynamic Sensor Networks.- Forecasting Cellular Connectivity for Cyber-Physical Systems: A Machine Learning Approach.- Towards Optimized Machine Operations by Cloud Integrated Condition Estimation.- Prognostics Health Management System based on Hybrid Model to Predict Failures of a Planetary Gear Transmission.- Evaluation of Model-Based Condition Monitoring Systems in Industrial Application Cases.- Towards a novel learning assistant for networked automation systems.- Effcient Image Processing System for an Industrial Machine Learning Task.- Efficient engineering in special purpose machinery through automated control code synthesis based on a functional categorisation.- Geo-Distributed Analytics for the Internet of Things.- Implementation and Comparison of Cluster-Based PSO Extensions in Hybrid Settings with Efficient Approximation.- Machine-specifc Approach for Automatic Classifcation of Cutting Process Efficiency.- Meta-analysis of Maintenance Knowledge Assets Towards Predictive Cost Controlling of Cyber Physical Production Systems.- Towards Autonomously Navigating and Cooperating Vehicles in Cyber-Physical Production Systems.

Machine Learning in Cyber Trust

Автор: Jeffrey J. P. Tsai; Philip S. Yu
Название: Machine Learning in Cyber Trust
ISBN: 1441946985 ISBN-13(EAN): 9781441946980
Издательство: Springer
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Цена: 21661.00 р.
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Описание: 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.

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: 8384.00 р.
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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.

Cyber Security Cryptography and Machine Learning

Автор: Shlomi Dolev; Danny Hendler; Sachin Lodha; Moti Yu
Название: Cyber Security Cryptography and Machine Learning
ISBN: 3030209504 ISBN-13(EAN): 9783030209506
Издательство: Springer
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Цена: 9222.00 р.
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Описание: This book constitutes the refereed proceedings of the Third International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2019, held in Beer-Sheva, Israel, in June 2019.The 18 full and 10 short papers presented in this volume were carefully reviewed and selected from 36 submissions. They deal with the theory, design, analysis, implementation, or application of cyber security, cryptography and machine learning systems and networks, and conceptually innovative topics in these research areas.

Machine Learning for Cyber Security: Third International Conference, Ml4cs 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part III

Автор: Chen Xiaofeng, Yan Hongyang, Yan Qiben
Название: Machine Learning for Cyber Security: Third International Conference, Ml4cs 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part III
ISBN: 3030624625 ISBN-13(EAN): 9783030624620
Издательство: Springer
Цена: 6986.00 р.
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Описание: This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi`an, China in October 2020.The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions.

Computer Programming and Cyber Security for Beginners: This Book Includes: Python Machine Learning, SQL, Linux, Hacking with Kali Linux, Ethical Hacki

Автор: Codings Zach
Название: Computer Programming and Cyber Security for Beginners: This Book Includes: Python Machine Learning, SQL, Linux, Hacking with Kali Linux, Ethical Hacki
ISBN: 1801444382 ISBN-13(EAN): 9781801444385
Издательство: Springer
Рейтинг:
Цена: 4739.00 р.
Наличие на складе: Поставка под заказ.

Описание:

55% OFF for bookstores

Do you feel that informatics is indispensable in today's increasingly digital world? Do you want to introduce yourself to the world of programming or cyber security but don't know where to get started? If the answer to these questions is yes, then keep reading...

This book includes:

PYTHON MACHINE LEARNING: A Beginner's Guide to Python Programming for Machine Learning and Deep Learning, Data Analysis, Algorithms and Data Science with Scikit Learn, TensorFlow, PyTorch and Keras

Here's a sneak peek of what you'll learn with this book:

- The Fundamentals of Python

- Python for Machine Learning

- Data Analysis in Python

- Comparing Deep Learning and Machine Learning

- The Role of Machine Learning in the Internet of Things (IoT)

And much more...

SQL FOR BEGINNERS: A Step by Step Guide to Learn SQL Programming for Query Performance Tuning on SQL Database

Throughout these pages, you will learn:

- How to build databases and tables with the data you create.

- How to sort through the data efficiently to find what you need.

- The exact steps to clean your data and make it easier to analyze.

- How to modify and delete tables and databases.

And much more...

LINUX FOR BEGINNERS: An Introduction to the Linux Operating System for Installation, Configuration and Command Line

We will cover the following topics:

- How to Install Linux

- The Linux Console

- Command line interface

- Network administration

And much more...

HACKING WITH KALI LINUX: A Beginner's Guide to Learn Penetration Testing to Protect Your Family and Business from Cyber Attacks Building a Home Security System for Wireless Network Security

You will learn:

- The importance of cybersecurity

- How malware and cyber-attacks operate

- How to install Kali Linux on a virtual box

- VPNs & Firewalls

And much more...

ETHICAL HACKING: A Beginner's Guide to Computer and Wireless Networks Defense Strategies, Penetration Testing and Information Security Risk Assessment

Here's a sneak peek of what you'll learn with this book:

- What is Ethical Hacking (roles and responsibilities of an Ethical Hacker)

- Most common security tools

- The three ways to scan your system

- The seven proven penetration testing strategies

...and much more.

This book won't make you an expert programmer, but it will give you an exciting first look at programming and a foundation of basic concepts with which you can start your journey learning computer programming, machine learning and cybersecurity

Buy it NOW and let your customers get addicted to this amazing book




Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems

Автор: Geron Aurelien
Название: Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems
ISBN: 1492032646 ISBN-13(EAN): 9781492032649
Издательство: Wiley
Рейтинг:
Цена: 9502.00 р.
Наличие на складе: Поставка под заказ.

Описание:

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data.

The updated edition of this practical book uses concrete examples, minimal theory, and three production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started.

Reinforcement Learning for Cyber-Physical Systems with Cybersecurity Case Studies

Автор: Li, Chong
Название: Reinforcement Learning for Cyber-Physical Systems with Cybersecurity Case Studies
ISBN: 1138543535 ISBN-13(EAN): 9781138543539
Издательство: Taylor&Francis
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Цена: 12707.00 р.
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Описание: This book introduces reinforcement learning, and provides novel ideas and use cases to demonstrate the benefits of using reinforcement learning for Cyber Physical Systems. Two important case studies on applying reinforcement learning to cybersecurity problems are included.

Machine Learning for Computer and Cyber Security

Автор: Brij B. Gupta, Quan Z. Sheng
Название: Machine Learning for Computer and Cyber Security
ISBN: 1138587303 ISBN-13(EAN): 9781138587304
Издательство: Taylor&Francis
Рейтинг:
Цена: 26796.00 р.
Наличие на складе: Поставка под заказ.

Описание: This comprehensive book offers valuable insights while using a wealth of examples and illustrations to effectively demonstrate the principles, algorithms, challenges and applications of machine learning and data mining for computer and cyber security.

Cyber Security Cryptography and Machine Learning

Автор: Dinur
Название: Cyber Security Cryptography and Machine Learning
ISBN: 3319941461 ISBN-13(EAN): 9783319941462
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the refereed proceedings of the Second International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2018, held in Beer-Sheva, Israel, in June 2018. The 16 full and 6 short papers presented in this volume were carefully reviewed and selected from 44 submissions.


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