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Privacy-preserving Query Processing on Text Documents

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Author :
Release : 2013
Genre :
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.

Privacy-Preserving Data Mining

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Author :
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 Query Processing on Health Data

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Author :
Release : 2018
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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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 for Location-based Services

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Author :
Release : 2011
Genre : Location-based services
Kind : eBook
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Book Synopsis Privacy Preserving Query Processing for Location-based Services by : Tanzima Hashem

Download or read book Privacy Preserving Query Processing for Location-based Services written by Tanzima Hashem. This book was released on 2011. Available in PDF, EPUB and Kindle. Book excerpt:

Algorithms for Data and Computation Privacy

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Release : 2020-11-28
Genre : Computers
Kind : eBook
Book Rating : 963/5 ( reviews)

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Book Synopsis Algorithms for Data and Computation Privacy by : Alex X. Liu

Download or read book Algorithms for Data and Computation Privacy written by Alex X. Liu. This book was released on 2020-11-28. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the state-of-the-art algorithms for data and computation privacy. It mainly focuses on searchable symmetric encryption algorithms and privacy preserving multi-party computation algorithms. This book also introduces algorithms for breaking privacy, and gives intuition on how to design algorithm to counter privacy attacks. Some well-designed differential privacy algorithms are also included in this book. Driven by lower cost, higher reliability, better performance, and faster deployment, data and computing services are increasingly outsourced to clouds. In this computing paradigm, one often has to store privacy sensitive data at parties, that cannot fully trust and perform privacy sensitive computation with parties that again cannot fully trust. For both scenarios, preserving data privacy and computation privacy is extremely important. After the Facebook–Cambridge Analytical data scandal and the implementation of the General Data Protection Regulation by European Union, users are becoming more privacy aware and more concerned with their privacy in this digital world. This book targets database engineers, cloud computing engineers and researchers working in this field. Advanced-level students studying computer science and electrical engineering will also find this book useful as a reference or secondary text.

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