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
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Цена: 26796.00 р.
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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.

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.

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: 9083.00 р.
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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;

Автор: Dinur
Название: Cyber Security Cryptography and Machine Learning
ISBN: 3319941461 ISBN-13(EAN): 9783319941462
Издательство: Springer
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Цена: 6986.00 р.
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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.

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.

Автор: Tony Thomas
Название: Machine Learning Approaches in Cyber Security Analytics
ISBN: 9811517053 ISBN-13(EAN): 9789811517051
Издательство: Springer
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Цена: 20962.00 р.
Наличие на складе: Нет в наличии.

Описание: This book introduces various machine learning methods for cyber security analytics. With an overwhelming amount of data being generated and transferred over various networks, monitoring everything that is exchanged and identifying potential cyber threats and attacks poses a serious challenge for cyber experts.

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.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

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
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Цена: 4739.00 р.
Наличие на складе: Нет в наличии.

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



Автор: Chen Xiaofeng, Susilo Willy, Bertino Elisa
Название: Cyber Security Meets Machine Learning
ISBN: 9813367253 ISBN-13(EAN): 9789813367258
Издательство: Springer
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Chapter 1. IoT Attacks and Malware.- Chapter 2. Machine Learning-based Online Source Identification for Image Forensics.- Chapter 3. Reinforcement Learning Based Communication Security for Unmanned Aerial Vehicles.- Chapter 4. Visual Analysis of Adversarial Examples in Machine Learning.- Chapter 5. Adversarial Attacks against Deep Learning-based Speech Recognition Systems.- Chapter 6. Secure Outsourced Machine Learning.- Chapter 7. A Survey on Secure Outsourced Deep Learning.

Автор: Abaimov Stanislav, Martellini Maurizio
Название: Machine Learning for Cyber Agents: Attack and Defence
ISBN: 3030915840 ISBN-13(EAN): 9783030915841
Издательство: Springer
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Цена: 12577.00 р.
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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.

Автор: Li Jin, Li Ping, Liu Zheli
Название: Privacy-Preserving Machine Learning
ISBN: 981169138X ISBN-13(EAN): 9789811691386
Издательство: Springer
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Цена: 7685.00 р.
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Описание: This book provides a thorough overview of the evolution of privacy-preserving machine learning schemes over the last ten years, after discussing the importance of privacy-preserving techniques. In response to the diversity of Internet services, data services based on machine learning are now available for various applications, including risk assessment and image recognition. In light of open access to datasets and not fully trusted environments, machine learning-based applications face enormous security and privacy risks. In turn, it presents studies conducted to address privacy issues and a series of proposed solutions for ensuring privacy protection in machine learning tasks involving multiple parties. In closing, the book reviews state-of-the-art privacy-preserving techniques and examines the security threats they face.

Автор: Ferhat Ozgur Catak
Название: Cyber Security and Adversarial Machine Learning: Emerging Attacks and Mitigation Strategies
ISBN: 1799890635 ISBN-13(EAN): 9781799890638
Издательство: Mare Nostrum (Eurospan)
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Цена: 38669.00 р.
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Описание: Focuses on learning vulnerabilities and cyber security. The book gives detail on the new threats and mitigation methods in the cyber security domain, and provides information on the new threats in new technologies such as vulnerabilities in deep learning, data privacy problems with GDPR, and new solutions.