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Intrusive Monitoring Intrusive Monitoring Новинка

Intrusive Monitoring

In the increasingly global economy and workplace, the difference in workplace privacy expectations and protections in the United States and Europe stand out. In the United States, privacy protections depend on whether employees have reasonable privacy expectations, but employers are relatively free to destroy actual expectations through notices. In Europe, workplace privacy is not conditioned on employee privacy expectations, but is protected as a matter of public policy. Thus, in Europe – where reasonable privacy expectations are not a condition to privacy protection – employees can actually and reasonably expect workplace privacy, and in the United States – where privacy protections depend on reasonable privacy expectations – employees cannot expect much privacy in practice. This book examines the underlying policy reasons and legal frameworks that control the extent to which employers may monitor their employees, including implications for multinational employers and employees in the United States and Europe.
American Privacy American Privacy Новинка

American Privacy

American Privacy
Invasion of Privacy Invasion of Privacy Новинка

Invasion of Privacy

Invasion of Privacy
The Right to Privacy The Right to Privacy Новинка

The Right to Privacy

The Right to Privacy
The Legal Regime on Privacy and Personal Information Protection The Legal Regime on Privacy and Personal Information Protection Новинка

The Legal Regime on Privacy and Personal Information Protection

This book has made first a brief introduction to the readers about the concept, scope and limitation of privacy. In this regard, it depicts the definitional difficulty of privacy and the problem of balancing countervailing interests against privacy. Besides it examines the impact of information technologies on the notion privacy and explicate the evolution of privacy laws. Thereafter, it probes the legal framework of Ethiopia in respect to the protection of privacy and personal information in light of information technologies development.
Чехол Skinbox Slim Silicone 4People для Huawei P Smart/ Enjoy 7S, Transparent Чехол Skinbox Slim Silicone 4People для Huawei P Smart/ Enjoy 7S, Transparent Новинка

Чехол Skinbox Slim Silicone 4People для Huawei P Smart/ Enjoy 7S, Transparent

Накладка Skinbox Slim Silicone 4People для Huawei P Smart/ Enjoy 7S
Privacy and Big Data Privacy and Big Data Новинка

Privacy and Big Data

Privacy and Big Data
AN INTRODUCTION TO S-SMART AN INTRODUCTION TO S-SMART Новинка

AN INTRODUCTION TO S-SMART

Resampling as a revolutionary methodology to deal with small-sample problems has been developed rapidly with the growth of modern computer techniques. This book introduces a new resampling method, the sample smoothing amplification resampling technique (S-SMART) which can produce amplified samples with adequate statistical power, conditional independence of observations, robustness to outliers, stable statistical behaviors, and an identical distribution with its small random proto-sample from any distributions. An empirical example is also provided as guidance for readers to apply S-SMART to their own research using small samples. This book also includes a systematic overview and comparison of other major resampling methods, including the Bootstrap; therefore, applied statisticians and quantitative researchers not only can use the book as an introduction to S-SMART, but also can consult it for information about other resampling methods.
Digital Privacy in the Marketplace Digital Privacy in the Marketplace Новинка

Digital Privacy in the Marketplace

Digital Privacy in the Marketplace focuses on the data ex-changes between marketers and consumers, with special ttention to the privacy challenges that are brought about by new information technologies. The purpose of this book is to provide a background source to help the reader think more deeply about the impact of privacy issues on both consumers and marketers. It covers topics such as: why privacy is needed, the technological, historical and academic theories of privacy, how market exchange af-fects privacy, what are the privacy harms and protections available, and what is the likely future of privacy.
Legislating Privacy Legislating Privacy Новинка

Legislating Privacy

Legislating Privacy explores the dynamics of congressional policy formulation and traces the limited response of legislators to the concept of privacy as a fundamental individual right. According to Regan, we will need an expanded understanding of the social value of privacy if we are to achieve greater protection from emerging technologies such as Caller ID and genetic testing. Specifically, she argues that a recognition of the social importance of privacy will shift both the terms of the policy debate and the patterns of interest-group action in future congressional activity on privacy issues.
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Peg-Perego Viaggio Switchable Black Автокресло Бустер: нет Группа: 0/1 (до 18 кг) Крепление Isofix: нет Крепление Latch: нет Установка: спиной или лицом вперед Размеры (ШxГxВ): 45x58x62 см Вес: 10 кг
Privacy in Social Networks Privacy in Social Networks Новинка

Privacy in Social Networks

This synthesis lecture provides a survey of work on privacy in online social networks (OSNs). This work encompasses concerns of users as well as service providers and third parties. Our goal is to approach such concerns from a computer-science perspective, and building upon existing work on privacy, security, statistical modeling and databases to provide an overview of the technical and algorithmic issues related to privacy in OSNs. We start our survey by introducing a simple OSN data model and describe common statistical-inference techniques that can be used to infer potentially sensitive information. Next, we describe some privacy definitions and privacy mechanisms for data publishing. Finally, we describe a set of recent techniques for modeling, evaluating, and managing individual users' privacy risk within the context of OSNs. Table of Contents: Introduction / A Model for Online Social Networks / Types of Privacy Disclosure / Statistical Methods for Inferring Information in Networks / Anonymity and Differential Privacy / Attacks and Privacy-preserving Mechanisms / Models of Information Sharing / Users' Privacy Risk / Management of Privacy Settings
Коврик для мышки (сердце) Printio Privacy Коврик для мышки (сердце) Printio Privacy Новинка

Коврик для мышки (сердце) Printio Privacy

Коврик для мышки (сердце).
Часы круглые из дерева Printio Privacy Часы круглые из дерева Printio Privacy Новинка

Часы круглые из дерева Printio Privacy

Часы круглые из дерева.
Тетрадь на пружине Printio Privacy Тетрадь на пружине Printio Privacy Новинка

Тетрадь на пружине Printio Privacy

Тетрадь на пружине — обложка: отсутствует.
Толстовка с полной запечаткой Printio Privacy Толстовка с полной запечаткой Printio Privacy Новинка

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Толстовка с полной запечаткой Printio Privacy Толстовка с полной запечаткой Printio Privacy Новинка

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Толстовка с полной запечаткой — пол: Жен.
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Шапка унисекс с полной запечаткой.
Коврик для мышки Printio Privacy Коврик для мышки Printio Privacy Новинка

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Коврик для мышки — материал: Резиновый.
Бомбер Printio Privacy Бомбер Printio Privacy Новинка

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Коврик для мышки (круглый) Printio Privacy Коврик для мышки (круглый) Printio Privacy Новинка

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Коврик для мышки (круглый) — материал: Резиновый.
Кружка цветная внутри Printio Privacy Кружка цветная внутри Printio Privacy Новинка

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Кружка цветная внутри — цвет: красный.

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This synthesis lecture provides a survey of work on privacy in online social networks (OSNs). This work encompasses concerns of users as well as service providers and third parties. Our goal is to approach such concerns from a computer-science perspective, and building upon existing work on privacy, security, statistical modeling and databases to provide an overview of the technical and algorithmic issues related to privacy in OSNs. We start our survey by introducing a simple OSN data model and describe common statistical-inference techniques that can be used to infer potentially sensitive information. Next, we describe some privacy definitions and privacy mechanisms for data publishing. Finally, we describe a set of recent techniques for modeling, evaluating, and managing individual users' privacy risk within the context of OSNs. Table of Contents: Introduction / A Model for Online Social Networks / Types of Privacy Disclosure / Statistical Methods for Inferring Information in Networks / Anonymity and Differential Privacy / Attacks and Privacy-preserving Mechanisms / Models of Information Sharing / Users' Privacy Risk / Management of Privacy Settings
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