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Privacy-preserving Query Processing on Health Data

2018
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Release : 2018
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Kind : eBook
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Book Synopsis Privacy-preserving Query Processing on Health Data by : Mohammad Hoseyn Sheykholeslam

Download or read book Privacy-preserving Query Processing on Health Data written by Mohammad Hoseyn Sheykholeslam. This book was released on 2018. Available in PDF, EPUB and Kindle. Book excerpt: Due to the huge volume of digital data and the underlying complexity of data management, people and companies are motivated to outsource their computational requirements to the cloud. A significant portion of these productions are used in health applications. While popular cloud computing platforms provide flexible and low-priced solutions, unfortunately, they do so with little support for data security and privacy. This shortcoming clearly threatens sensitive data in cloud platforms. This is especially true for health information, which should always be adequately secured via encryption. Providing secure storage and access to health information that is generated by systems or used in applications, is the main challenge in today's health care systems. As a result, owners of sensitive information may hesitate in purchasing such services, given the risks associated with the unauthorized access to their data. Considering this problem, researchers have recommended applying encryption algorithms. Data owners never disclose encryption keys in order to keep their encrypted data secure. Because cloud platforms can not search in data which is encrypted with regular encryption algorithms, it is supposed that data owners conceal their secrets with searchable encryption algorithms. Searchable encryption is a family of cryptographic protocols that facilitate private keyword searches directly on encrypted data. These protocols allow data owners to upload their encrypted data to the cloud, while retaining the ability to query over uploaded data. In this project, we focus on symmetric searchable encryption schemes, as well as apply an efficient searchable encryption scheme which supports multi-keyword searches to provide a privacy preserving keyword search framework for health data. Our framework applies a recent secure searchable encryption scheme and employs an inverted indexing structure in order to process queries in a privacy-preserving manner.

Privacy-preserving Query Processing on Text Documents

2013
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Release : 2013
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Kind : eBook
Book Rating : 197/5 ( reviews)

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Book Synopsis Privacy-preserving Query Processing on Text Documents by : Sahin Buyrukbilen

Download or read book Privacy-preserving Query Processing on Text Documents written by Sahin Buyrukbilen. This book was released on 2013. Available in PDF, EPUB and Kindle. Book excerpt: Privacy-preserving query processing is an essential component for data processing, especially in outsourced databases, or in data operations which have special security and privacy requirements such as sharing of sensitive data. While cloud computing and data outsourcing attract an increasing number of customers, the security and privacy of sensitive data still remains an open problem. Encryption secures the data against unauthorized access, but it does not provide the ability to query the data unless the encryption scheme is searchable. Searchable encryption can be either private or public key depending on the needs of the user. In general, private-key solutions are faster but suffer from a key management problem. On the other hand, public-key solutions provide more flexibility but their running times are much higher than private-key protocols. Furthermore, parties may sometimes be forced to share data in order to comply with regulations or agreements. For example, different health care companies or intelligence agencies may need to find whether they have similar records in their databases without compromising privacy. Consequently, privacy-preserving similarity search between text documents is an emerging field as sensitive data sharing becomes inevitable. In this dissertation we present two privacy-preserving text processing protocols: (i) a ranked keyword search mechanism over outsourced public-key encrypted data and (ii) a similar document detection system. We introduce efficient algorithms for answering these query types and illustrate their feasibility in real-life applications.

Medical Data Privacy Handbook

2015-11-26 Computers
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Release : 2015-11-26
Genre : Computers
Kind : eBook
Book Rating : 334/5 ( reviews)

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Book Synopsis Medical Data Privacy Handbook by : Aris Gkoulalas-Divanis

Download or read book Medical Data Privacy Handbook written by Aris Gkoulalas-Divanis. This book was released on 2015-11-26. Available in PDF, EPUB and Kindle. Book excerpt: This handbook covers Electronic Medical Record (EMR) systems, which enable the storage, management, and sharing of massive amounts of demographic, diagnosis, medication, and genomic information. It presents privacy-preserving methods for medical data, ranging from laboratory test results to doctors’ comments. The reuse of EMR data can greatly benefit medical science and practice, but must be performed in a privacy-preserving way according to data sharing policies and regulations. Written by world-renowned leaders in this field, each chapter offers a survey of a research direction or a solution to problems in established and emerging research areas. The authors explore scenarios and techniques for facilitating the anonymization of different types of medical data, as well as various data mining tasks. Other chapters present methods for emerging data privacy applications and medical text de-identification, including detailed surveys of deployed systems. A part of the book is devoted to legislative and policy issues, reporting on the US and EU privacy legislation and the cost of privacy breaches in the healthcare domain. This reference is intended for professionals, researchers and advanced-level students interested in safeguarding medical data.

Privacy-Preserving Data Mining

2008-06-10 Computers
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Release : 2008-06-10
Genre : Computers
Kind : eBook
Book Rating : 924/5 ( reviews)

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Book Synopsis Privacy-Preserving Data Mining by : Charu C. Aggarwal

Download or read book Privacy-Preserving Data Mining written by Charu C. Aggarwal. This book was released on 2008-06-10. Available in PDF, EPUB and Kindle. Book excerpt: Advances in hardware technology have increased the capability to store and record personal data. This has caused concerns that personal data may be abused. This book proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions of a particular topic in privacy. The book is designed for researchers, professors, and advanced-level students in computer science, but is also suitable for practitioners in industry.

Privacy-Preserving Data Publishing

2009-10-14 Data mining
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Release : 2009-10-14
Genre : Data mining
Kind : eBook
Book Rating : 763/5 ( reviews)

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Book Synopsis Privacy-Preserving Data Publishing by : Bee-Chung Chen

Download or read book Privacy-Preserving Data Publishing written by Bee-Chung Chen. This book was released on 2009-10-14. Available in PDF, EPUB and Kindle. Book excerpt: This book is dedicated to those who have something to hide. It is a book about "privacy preserving data publishing" -- the art of publishing sensitive personal data, collected from a group of individuals, in a form that does not violate their privacy. This problem has numerous and diverse areas of application, including releasing Census data, search logs, medical records, and interactions on a social network. The purpose of this book is to provide a detailed overview of the current state of the art as well as open challenges, focusing particular attention on four key themes: RIGOROUS PRIVACY POLICIES Repeated and highly-publicized attacks on published data have demonstrated that simplistic approaches to data publishing do not work. Significant recent advances have exposed the shortcomings of naive (and not-so-naive) techniques. They have also led to the development of mathematically rigorous definitions of privacy that publishing techniques must satisfy; METRICS FOR DATA UTILITY While it is necessary to enforce stringent privacy policies, it is equally important to ensure that the published version of the data is useful for its intended purpose. The authors provide an overview of diverse approaches to measuring data utility; ENFORCEMENT MECHANISMS This book describes in detail various key data publishing mechanisms that guarantee privacy and utility; EMERGING APPLICATIONS The problem of privacy-preserving data publishing arises in diverse application domains with unique privacy and utility requirements. The authors elaborate on the merits and limitations of existing solutions, based on which we expect to see many advances in years to come.

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