Описание: This book mainly concentrates on protecting data security and privacy when participants communicate with each other in the Internet of Things (IoT).
Автор: Liu Название: Preserving Privacy Against Side-Channel Leaks ISBN: 3319426427 ISBN-13(EAN): 9783319426426 Издательство: Springer Рейтинг: Цена: 10760.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book offers a novel approach to data privacy by unifying side-channel attacks within a general conceptual framework. This book then applies the framework in three concrete domains.
First, the book examines privacy-preserving data publishing with publicly-known algorithms, studying a generic strategy independent of data utility measures and syntactic privacy properties before discussing an extended approach to improve the efficiency. Next, the book explores privacy-preserving traffic padding in Web applications, first via a model to quantify privacy and cost and then by introducing randomness to provide background knowledge-resistant privacy guarantee. Finally, the book considers privacy-preserving smart metering by proposing a light-weight approach to simultaneously preserving users' privacy and ensuring billing accuracy.
Designed for researchers and professionals, this book is also suitable for advanced-level students interested in privacy, algorithms, or web applications.
If you want to learn about artificial intelligence without having to go through a boring textbook, then keep reading...
Two manuscripts in one book:
Artificial Intelligence: An Essential Beginner's Guide to AI, Machine Learning, Robotics, The Internet of Things, Neural Networks, Deep Learning, Reinforcement Learning, and Our Future
Robotics: What Beginners Need to Know about Robotic Process Automation, Mobile Robots, Artificial Intelligence, Machine Learning, Autonomous Vehicles, Speech Recognition, Drones, and Our Future
So, what is the deal with intelligent machines? Will they soon decide on things such as copyright infringement? How about self-driving trucks and cars?
What kind of impact will smart machines have on society and the future of human jobs?
This book will give you a glimpse into the most fascinating topic of the 21st century--artificial intelligence (AI), a hypothetical simulation of a living brain inside a computer.
In part 1 of this book, you will:
Confluence of Interests
AI Myths
Manipulating the Limbic System
Motivation for Creating AI
Basic Concepts
IoT Ecosystem
Fighting Against Tech Giants
Seminal Inventions
Fear-based Consumerism
AI and Growth Hacking
AI and Correcting Fake News
AI and Big Data
AI and Employment
AI and The Legal System
AI and Self-driving Vehicles
Tech Giants As Rulers of Society
AI as One World Religion
Dietary Advice by AI
AI and Loneliness
AI and Ethics
AI and Social Credit
Hacking AI
AI as Sports Referees
And much, much more
Some of the topics covered in part 2 of this book include:
The basics of robotics and what some of the advantages and disadvantages are.
Reasons that experts are trying to warn us about robots.
Myths about robots and the actual truth.
Robotic Process Automation and how it relates to robotics.
Mobile robots and how they have changed throughout the years.
Artificial Intelligence and how it can be tied to robotics.
Machine learning and how robots use it.
Autonomous vehicles and how they work.
How robots use speech recognition.
Drones - what they are and how they work.
How robots are being used in business and how they could take your job.
Answers to frequently asked questions about robotics.
And much, much more
If you want to learn more about artificial intelligence, then scroll up and click "add to cart"
If you are looking for a complete beginners guide to learn deep learning with examples, in just a few hours, then you need to continue reading.
This book delves into the basics of deep learning for those who are enthusiasts concerning all things machine learning and artificial intelligence. For those who have seen movies that show computer systems taking over the world like, Terminator, or benevolent systems that watch over the population, i.e. Person of Interest, this should be right up your alley.
This book will give you the basics of what deep learning entails. That means frameworks used by coders and significant components and tools used in deep learning, that enable facial recognition, speech recognition, and virtual assistance. Yes, deep learning provides the tools through which systems like Siri became possible.
Grab your copy today and learn:
Deep learning utilizes frameworks that allow people to develop tools that are able to offer better abstraction, along with simplification of hard programming issues. TensorFlow is the most popular tool and is used by corporate giants such as Airbus, Twitter, and even Google.
The book illustrates TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook. Facebook illustrates Caffe2 as one of the lightweight and modular deep learning frameworks, though TensorFlow is the most popular one, considering it has a lot of popularity, and thus, a big forum, which allows for assistance on main problems.
The book considers several components and tools of deep learning such as the neural networks; CNNs, RNNs, GANs, and auto-encoders. These algorithms create the building blocks which propel deep learning and advance it.
The book also considers several applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information gathering and connectivity. The Internet of Things is also represented here, as deep learning allows for integration of various systems via an artificial intelligence system, which is already being used for the home and car functions.
And much more...
The use of data science adds a lot of value to businesses, and we will continue to see the need for data scientists grow.
This book is probably one of the best books for beginners. It's a step-by-step guide for any person who wants to start learning deep learning and artificial intelligence from scratch.
When data science can reduce spending costs by billions of dollars in our economy, why wait to jump in?
Автор: Matteo Testa; Diego Valsesia; Tiziano Bianchi; Enr Название: Compressed Sensing for Privacy-Preserving Data Processing ISBN: 9811322783 ISBN-13(EAN): 9789811322785 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The objective of this book is to provide the reader with a comprehensive survey of the topic compressed sensing in information retrieval and signal detection with privacy preserving functionality without compromising the performance of the embedding in terms of accuracy or computational efficiency. The reader is guided in exploring the topic by first establishing a shared knowledge about compressed sensing and how it is used nowadays. Then, clear models and definitions for its use as a cryptosystem and a privacy-preserving embedding are laid down, before tackling state-of-the-art results for both applications. The reader will conclude the book having learned that the current results in terms of security of compressed techniques allow it to be a very promising solution to many practical problems of interest. The book caters to a broad audience among researchers, scientists, or engineers with very diverse backgrounds, having interests in security, cryptography and privacy in information retrieval systems. Accompanying software is made available on the authors’ website to reproduce the experiments and techniques presented in the book. The only background required to the reader is a good knowledge of linear algebra, probability and information theory.
Описание: This Comprehensive Guide Will Help You Take the Headache Out of Python Coding, Programming, and Data Analysis
Python is a very popular language and, if you're just starting with coding, you should make sure that it is the first language to learn. But how do you start learning this language?
The first step in learning any programming language is making sure that you understand how to learn it.
The best way to learn Python is to understand the big picture of all that you need to learn before you dive in and start learning.
Learning Python is easy, even if you've never learned about coding before. It offers excellent readability and simple-to-learn syntax, which helps beginners learn this programming language in no time
This book will not only teach you everything you should know about Python, but it will also give you a greater insight into coding, programming, machine learning, and data analysis.
Here is what this book will teach you:
-The fundamental skills that will bootstrap you as a programmer
-Everything you should know about coding, programming, machine learning, and data analysis
-How to become an expert in using Python
-Make your program come to life with practical exercises
-How to start profiting from your coding and programming skills
This guide won't only give you theoretical knowledge about Python and coding. It also contains so many small exercises that will help you start your journey of building a program. And, it is this journey that will teach you the most.
Yes, you can learn a lot from reading about Python. But, the best way to learn is by using Python to build something. While you do that, you are quite likely to come across a few obstacles. But don't worry This book will help you conquer each and every one of them.
Ready to become an expert in coding and programming? Grab this book and start your Python journey
Описание: The first part introduces the reader to the topic of linking sensitive data, the second part covers methods and techniques to link such data, the third part discusses aspects of practical importance, and the fourth part provides an outlook of future challenges and open research problems relevant to linking sensitive databases.
Автор: Gao Longxiang, Luan Tom H., Gu Bruce Название: Privacy-Preserving in Edge Computing ISBN: 9811621985 ISBN-13(EAN): 9789811621987 Издательство: Springer Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Therefore, the emergence of edge computing has been recently developed as a new computing paradigm that can collect and process data at the edge of the network, which brings significant convenience to solving problems such as delay, bandwidth, and off-loading in the traditional cloud computing paradigm.
Описание: The first part introduces the reader to the topic of linking sensitive data, the second part covers methods and techniques to link such data, the third part discusses aspects of practical importance, and the fourth part provides an outlook of future challenges and open research problems relevant to linking sensitive databases.
Автор: Vasudevan Shriram K., Pulari Sini Raj, Vasudevan Subashri Название: Deep Learning: A Comprehensive Guide ISBN: 1032028823 ISBN-13(EAN): 9781032028828 Издательство: Taylor&Francis Рейтинг: Цена: 19140.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on all the relevant topics of Deep Learning. It covers the conceptual, mathematical and practical aspects of deep learning & offers real time practical examples & case studies. It is aimed primarily at graduates, researchers and professionals working in Deep Learning.
Описание: This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the future directions in this under-explored domain. In big data era, an increasingly massive volume of data is generated and transmitted in Internet of Things (IoTs), which poses great threats to privacy protection. Motivated by this, an emerging research topic, machine learning-driven privacy preservation, is fast booming to address various and diverse demands of IoTs. However, there is no existing literature discussion on this topic in a systematically manner. The issues of existing privacy protection methods (differential privacy, clustering, anonymity, etc.) for IoTs, such as low data utility, high communication overload, and unbalanced trade-off, are identified to the necessity of machine learning-driven privacy preservation. Besides, the leading and emerging attacks pose further threats to privacy protection in this scenario. To mitigate the negative impact, machine learning-driven privacy preservation methods for IoTs are discussed in detail on both the advantages and flaws, which is followed by potentially promising research directions. Readers may trace timely contributions on machine learning-driven privacy preservation in IoTs. The advances cover different applications, such as cyber-physical systems, fog computing, and location-based services. This book will be of interest to forthcoming scientists, policymakers, researchers, and postgraduates.
Описание: Build trust with your library's users by securing their data privacy. Taking a holistic approach, this guide presents practical ways to implement privacy ethics into data practices.Libraries are not exempt from the financial costs of data breaches or leaks, no matter the size. Whether from a library worker unwittingly sharing a patron's address with a perpetrator of domestic violence to leaving sensitive patron data unprotected, patrons can also pay a hefty price when libraries fail to manage patron data securely and ethically. In this guide, readers will learn concrete action steps for putting the ethical management of data into practice, following two common public and academic library cumulative case studies. The authors explore such key topics assuccinct summaries of major U.S. laws and other regulations and standards governing patron data management;information security practices to protect patrons and libraries from common threats;how to navigate barriers in organizational culture when implementing data privacy measures;sources for publicly available, customizable privacy training material for library workers;the data life cycle from planning and collecting to disposal;how to conduct a data inventory;understanding the associated privacy risks of different types of library data;why the current popular model of library assessment can become a huge privacy invasion;addressing key topics while keeping your privacy policy clear and understandable to patrons; anddata privacy and security provisions to look for in vendor contracts.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
