Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Anonymization
Download Anonymization full books in PDF, epub, and Kindle. Read online Anonymization ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis The Complete Book of Data Anonymization by : Balaji Raghunathan
Download or read book The Complete Book of Data Anonymization written by Balaji Raghunathan and published by CRC Press. This book was released on 2013-05-21 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Complete Book of Data Anonymization: From Planning to Implementation supplies a 360-degree view of data privacy protection using data anonymization. It examines data anonymization from both a practitioner's and a program sponsor's perspective. Discussing analysis, planning, setup, and governance, it illustrates the entire process of adapting an
Book Synopsis The Complete Book of Data Anonymization by : Balaji Raghunathan
Download or read book The Complete Book of Data Anonymization written by Balaji Raghunathan and published by CRC Press. This book was released on 2013-05-21 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Complete Book of Data Anonymization: From Planning to Implementation supplies a 360-degree view of data privacy protection using data anonymization. It examines data anonymization from both a practitioner's and a program sponsor's perspective. Discussing analysis, planning, setup, and governance, it illustrates the entire process of adapting and implementing anonymization tools and programs. Part I of the book begins by explaining what data anonymization is. It describes how to scope a data anonymization program as well as the challenges involved when planning for this initiative at an enterprisewide level. Part II describes the different solution patterns and techniques available for data anonymization. It explains how to select a pattern and technique and provides a phased approach towards data anonymization for an application. A cutting-edge guide to data anonymization implementation, this book delves far beyond data anonymization techniques to supply you with the wide-ranging perspective required to ensure comprehensive protection against misuse of data.
Book Synopsis Anonymizing Health Data by : Khaled El Emam
Download or read book Anonymizing Health Data written by Khaled El Emam and published by "O'Reilly Media, Inc.". This book was released on 2013-12-11 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Updated as of August 2014, this practical book will demonstrate proven methods for anonymizing health data to help your organization share meaningful datasets, without exposing patient identity. Leading experts Khaled El Emam and Luk Arbuckle walk you through a risk-based methodology, using case studies from their efforts to de-identify hundreds of datasets. Clinical data is valuable for research and other types of analytics, but making it anonymous without compromising data quality is tricky. This book demonstrates techniques for handling different data types, based on the authors’ experiences with a maternal-child registry, inpatient discharge abstracts, health insurance claims, electronic medical record databases, and the World Trade Center disaster registry, among others. Understand different methods for working with cross-sectional and longitudinal datasets Assess the risk of adversaries who attempt to re-identify patients in anonymized datasets Reduce the size and complexity of massive datasets without losing key information or jeopardizing privacy Use methods to anonymize unstructured free-form text data Minimize the risks inherent in geospatial data, without omitting critical location-based health information Look at ways to anonymize coding information in health data Learn the challenge of anonymously linking related datasets
Book Synopsis Anonymization by : Robert Harding Pittman
Download or read book Anonymization written by Robert Harding Pittman and published by . This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Disturbing photo series showing a globalized model of architecture being stamped onto the earth's topography
Book Synopsis Database Anonymization by : Josep Domingo-Ferrer
Download or read book Database Anonymization written by Josep Domingo-Ferrer and published by Springer Nature. This book was released on 2022-05-31 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: The current social and economic context increasingly demands open data to improve scientific research and decision making. However, when published data refer to individual respondents, disclosure risk limitation techniques must be implemented to anonymize the data and guarantee by design the fundamental right to privacy of the subjects the data refer to. Disclosure risk limitation has a long record in the statistical and computer science research communities, who have developed a variety of privacy-preserving solutions for data releases. This Synthesis Lecture provides a comprehensive overview of the fundamentals of privacy in data releases focusing on the computer science perspective. Specifically, we detail the privacy models, anonymization methods, and utility and risk metrics that have been proposed so far in the literature. Besides, as a more advanced topic, we identify and discuss in detail connections between several privacy models (i.e., how to accumulate the privacy guarantees they offer to achieve more robust protection and when such guarantees are equivalent or complementary); we also explore the links between anonymization methods and privacy models (how anonymization methods can be used to enforce privacy models and thereby offer ex ante privacy guarantees). These latter topics are relevant to researchers and advanced practitioners, who will gain a deeper understanding on the available data anonymization solutions and the privacy guarantees they can offer.
Book Synopsis Anonymization Techniques for Large and Dynamic Data Sets by : Tochukwu Iwuchukwu
Download or read book Anonymization Techniques for Large and Dynamic Data Sets written by Tochukwu Iwuchukwu and published by . This book was released on 2007 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Anonymization written by Rolf H. Weber and published by Springer Science & Business Media. This book was released on 2012-04-26 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt: Within the last decade, the Internet has developed as a phenomenon encompassing social, cultural, economic and legal facets. It has become common practice to use the Internet for both the retrieval and provision of information, with the result that the Internet has become a valuable tool in everyday life. Many Internet participants are unaware that they leave data tracks on every website they pass; surfing on the World Wide Web is far from being an anonymous activity of no consequence. In recent years a number of networking techniques have been initiated in order to accommodate the netizen’s wish for anonymous communication and the protection of their privacy in the online world. Anonymization explores the legal framework developed to help protect netizens’ privacy and their wish for anonymous communication over the Internet. It debates the value in helping to protect anonymity over a network which sees an increasing number of cybercrimes, and explores governmental interventions into anonymity requests, and whether requests should only be legal if a sufficiently legitimized public interest is given.
Author :Aris Gkoulalas-Divanis Publisher :Springer Science & Business Media ISBN 13 :1461456673 Total Pages :87 pages Book Rating :4.4/5 (614 download)
Book Synopsis Anonymization of Electronic Medical Records to Support Clinical Analysis by : Aris Gkoulalas-Divanis
Download or read book Anonymization of Electronic Medical Records to Support Clinical Analysis written by Aris Gkoulalas-Divanis and published by Springer Science & Business Media. This book was released on 2012-10-13 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: Anonymization of Electronic Medical Records to Support Clinical Analysis closely examines the privacy threats that may arise from medical data sharing, and surveys the state-of-the-art methods developed to safeguard data against these threats. To motivate the need for computational methods, the book first explores the main challenges facing the privacy-protection of medical data using the existing policies, practices and regulations. Then, it takes an in-depth look at the popular computational privacy-preserving methods that have been developed for demographic, clinical and genomic data sharing, and closely analyzes the privacy principles behind these methods, as well as the optimization and algorithmic strategies that they employ. Finally, through a series of in-depth case studies that highlight data from the US Census as well as the Vanderbilt University Medical Center, the book outlines a new, innovative class of privacy-preserving methods designed to ensure the integrity of transferred medical data for subsequent analysis, such as discovering or validating associations between clinical and genomic information. Anonymization of Electronic Medical Records to Support Clinical Analysis is intended for professionals as a reference guide for safeguarding the privacy and data integrity of sensitive medical records. Academics and other research scientists will also find the book invaluable.
Book Synopsis Algorithmic Aspects of Manipulation and Anonymization in Social Choice and Social Networks by : Talmon, Nimrod
Download or read book Algorithmic Aspects of Manipulation and Anonymization in Social Choice and Social Networks written by Talmon, Nimrod and published by Universitätsverlag der TU Berlin. This book was released on 2016-05-20 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis presents a study of several combinatorial problems related to social choice and social networks. The main concern is their computational complexity, with an emphasis on their parameterized complexity. The goal is to devise efficient algorithms for each of the problems studied here, or to prove that, under widely-accepted assumptions, such algorithms cannot exist. The problems discussed in Chapter 3 and in Chapter 4 are about manipulating a given election, where some relationships between the entities of the election are assumed. This can be seen as if the election occurs on top of an underlying social network, connecting the voters participating in the election or the candidates which the voters vote on. The problem discussed in Chapter 3, Combinatorial Candidate Control, is about manipulating an election by changing the set of candidates which the voters vote on. That is, there is an external agent who can add new candidates or delete existing candidates. A combinatorial structure over the candidates is assumed, such that whenever the external agent adds or removes a candidate, a predefined set of candidates (related to the chosen candidate) are added or removed from the election. The problem discussed in Chapter 4, Combinatorial Shift Bribery, is also about manipulating an election. Here, however, the external agent can change the way some voters vote. Specifically, a combinatorial structure over the voters is assumed, such that the external agent can change the position of its preferred candidate in sets of voters, following some predefined patterns. The problem discussed in Chapter 5, Election Anonymization, is also about elections. The main concern here, however, is preserving the privacy of the voters, when the votes are published, along with some additional (private) information. The task is to transform a given election such that each vote would appear at least k times. By doing so, even an adversary which knows how some voters vote, cannot identify individual voters. The problems discussed in Chapter 6 and in Chapter 7 are also about privacy. Specifically, a social network (modeled as a graph) is to become publicly available. The task is to anonymize the graph; that is, to transform the graph such that, for every vertex, there will be at least $k - 1$ other vertices with the same degree. By doing so, even an adversary which knows the degrees of some vertices cannot identify individual vertices. In the problem discussed in Chapter 6, Degree Anonymization by Vertex Addition, the way to achieve anonymity is by introducing new vertices. In the problem discussed in Chapter 7, Degree Anonymization By Graph Contractions, the way to achieve anonymity is by contracting as few edges as possible. The main aim of this thesis, considering the problems mentioned above, is to explore some boundaries between tractability and intractability. Specifically, as most of these problems are computationally intractable (that is, NP-hard or even hard to approximate), some restricted cases and parameterizations for these problems are considered. The goal is to devise efficient algorithms for them, running in polynomial-time when some parameters are assumed to be constant, or, even better, to show that the problems are fixed-parameter tractable for the parameters considered. If such algorithms cannot be devised, then the goal is to prove that these problems are indeed not fixed-parameter tractable with respect to some parameters, or, even better, to show that the problems are NP-hard even when some parameters are assumed to be constant. Diese Dissertation stellt eine Untersuchung von verschiedenen kombinatorischen Problemen im Umfeld von Wahlen und sozialen Netzwerken dar. Das Hauptziel ist die Analyse der Berechnungskomplexität mit dem Schwerpunkt auf der parametrisierten Komplexität. Dabei werden für jedes der untersuchten Probleme effiziente Algorithmen entworfen oder aber gezeigt, dass unter weit akzeptierten Annahmen solche Algorithmen nicht existieren können. Die Probleme, welche im Kapitel 3 und im Kapitel 4 diskutiert werden, modellieren das Manipulieren einer gegebenen Wahl, bei welcher gewisse Beziehungen zwischen den Beteiligten angenommen werden. Dies kann so interpretiert werden, dass die Wahl innerhalb eines Sozialen Netzwerks stattfindet, in dem die Wähler oder die Kandidaten miteinander in Verbindung stehen. Das Problem Combinatorial Candidate Control ONTROL, welches in Kapitel 3 untersucht wird, handelt von der Manipulation einer Wahl durch die änderung der Kandidatenmenge über welche die Wähler abstimmen. Genauer gesagt, gibt es einen externen Agenten, welcher neue Kandidaten hinzufügen oder existierende Kandidaten entfernen kann. Es wird eine kombinatorische Struktur über der Kandidatenmenge angenommen, so dass immer wenn der externe Agent einen Kandidaten hinzufügt oder entfernt, eine vordefinierte Kandidatenmenge (welche mit den ausgewählten Kandidaten in Beziehung steht) ebenfalls hinzugefügt bzw. entfernt wird. Das Problem Combinatorial Shift Bribery, welches in Kapitel 4 untersucht wird, thematisiert ebenfalls die Manipulation einer Wahl. Hier allerdings kann der externe Agent Änderungen des Abstimmungsverhaltens einiger Wähler herbeiführen. Dabei wird eine kombinatorische Struktur über den Wählern angenommen, so dass der externe Agent die Position des von ihm präferierten Kandidaten bei mehreren Wählern entsprechend vordefinierter Muster gleichzeitig ändern kann. Das Problem Election Anonymization, welches in Kapitel 5 untersucht wird, befasst sich ebenso mit Wahlen. Das Hauptanliegen hier ist es jedoch, die Privatsphäre der Wähler bei der Veröffentlichung der Stimmenabgaben zusammen mit einigen zusätzlichen (privaten) Informationen aufrecht zu erhalten. Die Aufgabe ist es eine gegebene Wahl so zu verändern, dass jede Stimmenabgabe mindestens k-fach vorkommt. Dadurch kann noch nicht einmal ein Gegenspieler einzelne Wähler identifizieren, wenn er die Stimmenabgaben einiger Wähler bereits kennt. Die in Kapitel 6 und 7 untersuchten Probleme behandeln gleichermaßen Privatsphärenaspekte. Präziser gesagt, geht es darum, dass ein soziales Netzwerk (modelliert als Graph) veröffentlicht werden soll. Die Aufgabe ist es den Graphen zu anonymisieren; dies bedeutet man verändert den Graphen, so dass es für jeden Knoten mindestens k − 1 weitere Knoten mit dem selben Grad gibt. Dadurch wird erreicht, dass selbst ein Gegenspieler, welcher die Knotengrade einiger Knoten kennt, nicht in der Lage ist einzelne Knoten zu identifizieren. Bei dem Problem Degree Anonymization by Vertex Addition, welches in Kapitel 6 untersucht wird, wird Anonymität durch Einführung neuer Knoten erreicht. Bei dem Problem Degree Anonymization by Graph Contractions, welches in Kapitel 7 untersucht wird, wird Anonymität durch die Kontraktion von möglichst wenigen Kanten erreicht. Das Hauptanliegen dieser Dissertation in Bezug auf die obig genannten Probleme ist es die Grenzen der effizienten Lösbarkeit auszuloten. Insbesondere da die meisten dieser Probleme berechnungsschwer (genauer NP-schwer bzw. sogar schwer zu approximieren) sind, werden einige eingeschränkte Fälle und Parametrisierungen der Probleme betrachtet. Das Ziel ist es effiziente Algorithmen für sie zu entwickeln, welche in Polynomzeit laufen, wenn einige Parameter konstante Werte aufweisen, oder besser noch zu zeigen, dass die Probleme “fixed-parameter tractable” für die betrachteten Parameter sind. Wenn solche Algorithmen nicht gefunden werden können, dann ist es das Ziel zu beweisen, dass diese Probleme tatsächlich nicht “fixed-parameter tractable” bezüglich der entsprechenden Parameter sind, oder noch besser zu zeigen, dass die Probleme NP-schwer sind, sogar wenn die entsprechenden Parameter konstante Werte aufweisen.
Book Synopsis Building an Anonymization Pipeline by : Luk Arbuckle
Download or read book Building an Anonymization Pipeline written by Luk Arbuckle and published by "O'Reilly Media, Inc.". This book was released on 2020-04-13 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can you use data in a way that protects individual privacy but still provides useful and meaningful analytics? With this practical book, data architects and engineers will learn how to establish and integrate secure, repeatable anonymization processes into their data flows and analytics in a sustainable manner. Luk Arbuckle and Khaled El Emam from Privacy Analytics explore end-to-end solutions for anonymizing device and IoT data, based on collection models and use cases that address real business needs. These examples come from some of the most demanding data environments, such as healthcare, using approaches that have withstood the test of time. Create anonymization solutions diverse enough to cover a spectrum of use cases Match your solutions to the data you use, the people you share it with, and your analysis goals Build anonymization pipelines around various data collection models to cover different business needs Generate an anonymized version of original data or use an analytics platform to generate anonymized outputs Examine the ethical issues around the use of anonymized data
Book Synopsis Managing Next Generation Networks and Services by : Shingo Ata
Download or read book Managing Next Generation Networks and Services written by Shingo Ata and published by Springer. This book was released on 2007-09-18 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th Asia-Pacific Network Operations and Management Symposium, APNOMS 2007, held in Sapporo, Japan, October 2007. The 48 revised full papers and 30 revised short papers cover management of distributed networks, network configuration and planning, network security management, sensor and ad-hoc networks, network monitoring, routing and traffic engineering, management of wireless networks and security on wireless networks.
Book Synopsis The Data Protection Directive and Medical Research Across Europe by : D. Townend
Download or read book The Data Protection Directive and Medical Research Across Europe written by D. Townend and published by Routledge. This book was released on 2017-07-05 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Data Protection and Medical Research in Europe: PRIVIREAL series focuses on the 'Privacy in Research Ethics and Law' EC-funded project examining the implementation of Directive 95/46/EC on data protection in relation to medical research and the role of ethics committees in European countries. The series consists of five separate volumes following the complete development of the PRIVIREAL project. This volume relates to the first stage of the project regarding the implementation of the Data Protection Directive, in particular in the area of medical research. It contains an introduction and overview of this topic, keynote papers addressing specific questions on the subject, and a report on both the general implementation of the Directive and the implementation in relation to medical research in 26 European countries. The book will be invaluable for those people with an interest in data protection, medical research and their implications for each other. It lays open the actual situation across Europe, including both New Member States and Newly Associated Member States.
Book Synopsis Marketing and Smart Technologies by : José Luís Reis
Download or read book Marketing and Smart Technologies written by José Luís Reis and published by Springer Nature. This book was released on with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Information Security by : Zhiqiang Lin
Download or read book Information Security written by Zhiqiang Lin and published by Springer Nature. This book was released on 2019-09-02 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 22nd International Conference on Information Security, ISC 2019, held in New York City, NY, USA, in September 2019. The 23 full papers presented in this volume were carefully reviewed and selected from 86 submissions. The papers were organized in topical sections named: Attacks and Cryptanalysis; Crypto I: Secure Computation and Storage; Machine Learning and Security; Crypto II: Zero-Knowledge Proofs; Defenses; Web Security; Side Channels; Malware Analysis; Crypto III: Signatures and Authentication.
Book Synopsis Advances in Secure Computing, Internet Services, and Applications by : Tripathy, B.K.
Download or read book Advances in Secure Computing, Internet Services, and Applications written by Tripathy, B.K. and published by IGI Global. This book was released on 2013-12-31 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological advancements have extracted a vast amount of useful knowledge and information for applications and services. These developments have evoked intelligent solutions that have been utilized in efforts to secure this data and avoid potential complex problems. Advances in Secure Computing, Internet Services, and Applications presents current research on the applications of computational intelligence in order to focus on the challenge humans face when securing knowledge and data. This book is a vital reference source for researchers, lecturers, professors, students, and developers, who have interest in secure computing and recent advanced in real life applications.
Book Synopsis Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVI by : Abdelkader Hameurlain
Download or read book Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVI written by Abdelkader Hameurlain and published by Springer. This book was released on 2017-11-27 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume, the 36th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains eight revised, extended papers selected from the 3rd International Conference on Future Data and Security Engineering, FDSE 2016, and the 10th International Conference on Advanced Computing and Applications, ACOMP 2016, which were held in Can Tho City, Vietnam, in November 2016. Topics covered include big data analytics, massive dataset mining, security and privacy, cryptography, access control, deep learning, crowd sourcing, database watermarking, and query processing and optimization.
Book Synopsis Computational Intelligence in Data Mining by : Himansu Sekhar Behera
Download or read book Computational Intelligence in Data Mining written by Himansu Sekhar Behera and published by Springer. This book was released on 2019-08-17 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceeding discuss the latest solutions, scientific findings and methods for solving intriguing problems in the fields of data mining, computational intelligence, big data analytics, and soft computing. This gathers outstanding papers from the fifth International Conference on “Computational Intelligence in Data Mining” (ICCIDM), and offer a “sneak preview” of the strengths and weaknesses of trending applications, together with exciting advances in computational intelligence, data mining, and related fields.
