User Privacy

Personal data in the online world as become a commodity. Coveted by criminals, demanded by governments, and used for unsavory purposes by marketers and advertisers, your private information is at risk everywhere. For libraries and librarians, this poses a professional threat as well as a personal one. How can we protect the privacy of library patrons and users who browse our online catalogs, borrow sensitive materials, and use our public computers and networks? User Privacy: A Practical Guide for Librarians answers that question. Through simple explanations and detailed, step-by-step guides, library professionals will learn how to strengthen privacy protections for: Library policies Wired and wireless networks Public computers Web browsers Mobile devices Apps Cloud computing Each chapter begins with a "threat assessment" that provides an overview of the biggest security risks – and the steps that can be taken to deal with them. Also covered are techniques for preserving online anonymity, protecting activists and at-risk groups, and the current state of data encryption.

Online user privacy is a delicate issue that has been unfortunately overlooked by technology corporations and especially the public since the birth of the internet. Many online businesses and services such as web search engines, retailers, and social network sites exploit user data for profit. There is a misconception among people about the term “privacy.” Usually, people think that privacy is the ability of an individual to isolate themselves or that it is a person’s right to control access to their personal information. However, privacy is not just about revealing secret information; it also includes exploiting user personal data, as the exploitation of personal data may lead to disastrous consequences. Protecting User Privacy in Web Search Utilization presents both multidisciplinary and interdisciplinary works on questions related to experiences and phenomena that can or could be covered by concepts regarding the protection and privacy of web service users. It further highlights the importance of web search privacy to the readers and educates them about recent developments in the field. Covering topics such as AI-based intrusion detection, desktop search engines, and privacy risks, this premier reference source is an essential resource for students and educators of higher education, data experts, privacy professionals and engineers, IT managers, software developers, government officials, archivists and librarians, privacy rights activists, researchers, and academicians.

Surveys the rich and diverse landscape of privacy in HCI and CSCW, describing some of the legal foundations and historical aspects of privacy, sketching out an overview of the body of knowledge with respect to designing, implementing, and evaluating privacy-affecting systems, and charting many directions for future work.

User-adaptive (or "personalized") systems take individual character istics of their current users into account and adapt their behavior ac cordingly. Several empirical studies demonstrate their benefits in areas like education and training, online help for complex software, dynamic information delivery, provision of computer access to people with dis abilities, and to some extent information retrieval. Recently, personal ized systems have also started to appear on the World Wide Web where they are primarily used for customer relationship management. The aim hereby is to provide value to customers by serving them as individuals and by offering them a unique personal relationship with the business. Studies show that web visitors indeed spend considerably more time at personalized than at regular portals and view considerably more web pages. Personalized sites in general also draw more visitors and turn more visitors into buyers. Personalization therefore would look like a win-win technology for both consumers and online businesses. However, it has a major down side: in order to be able to exhibit personalized behavior, user-adaptive systems have to collect considerable amounts of personal data and "lay them in stock" for possible future usage. Moreover, the collection of information about the user is often performed in a relatively inconspic uous manner (such as by monitoring users' web navigation behavior), in order not to distract users from their tasks.

This book constitutes the refereed proceedings of the 6th International Symposium on End-User Development, IS-EUD 2017, held in Eindhoven, The Netherlands, in June 2017. The 10 full papers and 3 short papers presented were carefully reviewed and selected from 26 submissions. According to the theme of the conference "that was business, this is personal" the papers address the personal involvement and engagement of end-users, the application of end-user programming beyond the professional environment looking also at discretionary use of technologies. They also deal with topics covered by the broader area of end-user development such as domain specific tools, spreadsheets, and end user aspects.

This book constitutes the refereed proceedings of the 11th International Conference on User Modeling, UM 2007, held in Corfu, Greece in July 2007. Coverage includes evaluating user/student modeling techniques, data mining and machine learning for user modeling, user adaptation and usability, modeling affect and meta-cognition, as well as intelligent information retrieval, information filtering and content personalization.

The wide gap between the existing security solutions and the actual practical deployment in smart manufacturing, smart home, and remote environments (with respect to wireless robotics) is one of the major reasons why we require novel strategies, mechanisms, architectures, and frameworks. Furthermore, it is also important to access and understand the different level of vulnerabilities and attack vectors in Wireless Sensor Network (WSN) and Wireless Robotics. This book includes an in-depth explanation of a secure and dependable Wireless Robotics (WR) architecture, to ensure confidentiality, authenticity, and availability. Features Blockchain technology for securing data at end/server side Emerging technologies/networking, like Cloud, Edge, Fog, etc., for communicating and storing data (securely). Various open issues, challenges faced in this era towards wireless robotics, including several future research directions for the future. Several real world’s case studies are included Chapters on ethical concerns and privacy laws, i.e., laws for service providers Security and privacy challenges in wireless sensor networks and wireless robotics The book is especially useful for academic researchers, undergraduate students, postgraduate students, and industry researchers and professionals.

This book examines state-of-art research on designing healthcare applications with the consideration of security and privacy. It explains the Mobile Healthcare Network (MHN) architecture and its diverse applications, and reviews the existing works on security and privacy for MHNs. Critical future challenges and research problems are also identified. Using a Quality-of-Protection perspective, the authors provide valuable insights on security and privacy preservation for MHNs. Some promising solutions are proposed to accommodate the issues of secure health data transmission, misbehavior detection, health data processing with privacy preservation and access control in MHNs. Specifically, the secure health data aggregation explores social spots to help forward health data and enable users to select the optimal relay according to their social ties and health data priority. The secure aggregation achieves the desirable delivery ratio with reasonable communication costs and lower delay for the data in different priorities. A proposed misbehavior detection scheme distinguishes Sybil attackers from normal users by comparing their mobile contacts and pseudonym changing behaviors. The detection accuracy is high enough to resist various Sybil attacks including forgery. In addition, the health data processing scheme can analyze the encrypted health data and preserve user’s privacy at the same time. Attribute based access control can achieve fine-grained acces s control with user-defined access policy in MHNs. Security and Privacy for Mobile Healthcare Networks is designed for researchers and advanced-level students interested in healthcare security and secure data transmission.