Secure Searchable Encryption And Data Management
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Secure Searchable Encryption And Data Management
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Author : Brij B. Gupta
language : en
Publisher: CRC Press
Release Date : 2021-03-15
Secure Searchable Encryption And Data Management written by Brij B. Gupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-15 with Computers categories.
With the advent of the IT revolution, the volume of data produced has increased exponentially and is still showing an upward trend. This data may be abundant and enormous, but it’s a precious resource and should be managed properly. Cloud technology plays an important role in data management. Storing data in the cloud rather than on local storage has many benefits, but apart from these benefits, there are privacy concerns in storing sensitive data over third-party servers. These concerns can be addressed by storing data in an encrypted form; however, while encryption solves the problem of privacy, it engenders other serious issues, including the infeasibility of the fundamental search operation and a reduction in flexibility when sharing data with other users, amongst others. The concept of searchable encryption addresses these issues. This book provides every necessary detail required to develop a secure, searchable encryption scheme using both symmetric and asymmetric cryptographic primitives along with the appropriate security models to ensure the minimum security requirements for real-world applications.
Privacy Preserving Query Processing On Health Data
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Author : Mohammad Hoseyn Sheykholeslam
language : en
Publisher:
Release Date : 2018
Privacy Preserving Query Processing On Health Data written by Mohammad Hoseyn Sheykholeslam and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
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.
Advances To Homomorphic And Searchable Encryption
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Author : Stefania Loredana Nita
language : en
Publisher: Springer Nature
Release Date : 2023-10-28
Advances To Homomorphic And Searchable Encryption written by Stefania Loredana Nita and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-28 with Computers categories.
This book presents the current state of the literature on the fields of homomorphic and searchable encryption, from both theoretical and practical points of view. Homomorphic and searchable encryption are still relatively novel and rapidly evolving areas and face practical constraints in the contexts of large-scale cloud computing and big data. Both encryption methods can be quantum-resistant if they use the right mathematical techniques. In fact, many fully homomorphic encryption schemes already use quantum-resistant techniques, such as lattices or characteristics of polynomials – which is what motivated the authors to present them in detail. On the one hand, the book highlights the characteristics of each type of encryption, including methods, security elements, security requirements, and the main types of attacks that can occur. On the other, it includes practical cases and addresses aspects like performance, limitations, etc. As cloud computing and big data already represent the future in terms of storing, managing, analyzing, and processing data, these processes need to be made as secure as possible, and homomorphic and searchable encryption hold huge potential to secure both the data involved and the processes through which it passes. This book is intended for graduates, professionals and researchers alike. Homomorphic and searchable encryption involve advanced mathematical techniques; accordingly, readers should have a basic background in number theory, abstract algebra, lattice theory, and polynomial algebra.
Big Data
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Author : Fei Hu
language : en
Publisher: CRC Press
Release Date : 2016-04-27
Big Data written by Fei Hu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-27 with Computers categories.
Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details-making them unsuitable to R&D people. To fill such a need, Big Data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It covers the 3S desi
Symmetric Schemes For Efficient Range And Error Tolerant Search On Encrypted Data
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Author : Nathan Lee Chenette
language : en
Publisher:
Release Date : 2012
Symmetric Schemes For Efficient Range And Error Tolerant Search On Encrypted Data written by Nathan Lee Chenette and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Cloud computing categories.
Large-scale data management systems rely more and more on cloud storage, where the need for efficient search capabilities clashes with the need for data confidentiality. Encryption and efficient accessibility are naturally at odds, as for instance strong encryption necessitates that ciphertexts reveal nothing about underlying data. Searchable encryption is an active field in cryptography studying encryption schemes that provide varying levels of efficiency, functionality, and security, and efficient searchable encryption focuses on schemes enabling sub-linear (in the size of the database) search time. I present the first cryptographic study of efficient searchable symmetric encryption schemes supporting two types of search queries, range queries and error-tolerant queries. The natural solution to accommodate efficient range queries on ciphertexts is to use order-preserving encryption (OPE). I propose a security definition for OPE schemes, construct the first OPE scheme with provable security, and further analyze security by characterizing one-wayness of the scheme. Efficient error-tolerant queries are enabled by efficient fuzzy-searchable encryption (EFSE). For EFSE, I introduce relevant primitives, an optimal security definition and a (somewhat space-inefficient, but in a sense efficient as possible) scheme achieving it, and more efficient schemes that achieve a weaker, but practical, security notion. In all cases, I introduce new appropriate security definitions, construct novel schemes, and prove those schemes secure under standard assumptions. The goal of this line of research is to provide constructions and provable security analysis that should help practitioners decide whether OPE or FSE provides a suitable efficiency-security-functionality tradeoff for a given application.
Searchable Encryption
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Author : Kui Ren
language : en
Publisher: Springer Nature
Release Date : 2023-01-04
Searchable Encryption written by Kui Ren and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-04 with Computers categories.
This book comprehensively reviews searchable encryption, which represents a series of research developments that directly enable search functionality over encrypted data. The book majorly covers: 1) the design and implementation of encrypted search algorithms, data structures, and systems that facilitate various forms of search over always-encrypted databases; 2) different threat models, assumptions, and the related security guarantees, when using searchable encryption in the real-world settings; and 3) latest efforts in building full-fledged encrypted database systems that draw insights from searchable encryption constructions. The book fits in the timely context, where the necessity of safeguarding important and sensitive data has been globally recognized. Traditional security measures, such as storing data behind network firewalls and layers of access control mechanisms to keep attackers out, are no longer sufficient to cope with the expanding landscape of surging cyber threats. There is an urgent call to keep sensitive data always encrypted to protect the data at rest, in transit, and in use. Doing so guarantees data confidentiality for owners, even if the data is out of their hands, e.g., hosted at in-the-cloud databases. The daunting challenge is how to perform computation over encrypted data. As we unfold in this book, searchable encryption, as a specific line of research in this broadly defined area, has received tremendous advancements over the past decades. This book is majorly oriented toward senior undergraduates, graduate students, and researchers, who want to work in the field and need extensive coverage of encrypted database research. It also targets security practitioners who want to make well-informed deployment choices of the latest advancements in searchable encryption for their targeted applications. Hopefully, this book will be beneficial in both regards.
Privacy Preserving Searchable Encryption Scheme With Optimized Homomorphic Encryption On Nosql Databases
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Author : Yash Darak
language : en
Publisher:
Release Date : 2019
Privacy Preserving Searchable Encryption Scheme With Optimized Homomorphic Encryption On Nosql Databases written by Yash Darak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
The idea of outsourcing storage and processing of private data to a third party is a high-risk decision that makes applications vulnerable to unauthorized access by an external or by malicious insiders (MIs). Security and privacy in the cloud environment are critical concerns for cloud users. This paper proposes a searchable security scheme and a homomorphic encryption scheme to execute aggregate queries over encrypted non-relational databases and a secure proxy server for implementing the security plan and to provide confidentiality and integrity of the data from malicious insiders (MIs).
Secure Data Management
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Author : Willem Jonker
language : en
Publisher: Springer
Release Date : 2014-05-14
Secure Data Management written by Willem Jonker and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-14 with Computers categories.
This book constitutes the refereed proceedings of the 10th VLDB Workshop on Secure Data Management held in Trento, Italy, on August 30, 2013. The 15 revised full papers and one keynote paper presented were carefully reviewed and selected from various submissions. The papers are organized in technical papers and 10 vision papers which address key challenges in secure data management and indicate interesting research questions.
Secure And Dynamic Search Over Encrypted Cloud Data In Dot Net Framework
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Author : Dr.V.V.L.N. Sastry
language : en
Publisher: Idea Publishing
Release Date : 2020-05-05
Secure And Dynamic Search Over Encrypted Cloud Data In Dot Net Framework written by Dr.V.V.L.N. Sastry and has been published by Idea Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-05 with Computers categories.
Due to the increasing popularity of cloud computing, more and more data owners are motivated to outsource their data to cloud servers for great convenience and reduced cost in data management. However, sensitive data should be encrypted before outsourcing for privacy requirements, which obsoletes data utilization like keyword-based document retrieval. In this paper, we present a secure multi-keyword ranked search scheme over encrypted cloud data, which simultaneously supports dynamic update operations like deletion and insertion of documents. Specifically, the vector space model and the widely-used TF_IDF model are combined in the index construction and query generation. We construct a special tree-based index structure and propose a “Greedy Depth-first Search” algorithm to provide efficient multi-keyword ranked search. The secure kNN algorithm is utilized to encrypt the index and query vectors, and ensure accurate relevance score calculation between encrypted index and query vectors. In order to resist statistical attacks, phantom terms are added to the index vector for blinding search results. Due to the use of our special tree-based index structure, the proposed scheme can achieve sub-linear search time and deal with the deletion and insertion of documents flexibly. Extensive experiments are conducted to demonstrate the efficiency of the proposed scheme.
Security Privacy And Trust In Modern Data Management
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Author : Milan Petkovic
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-06-12
Security Privacy And Trust In Modern Data Management written by Milan Petkovic and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-12 with Computers categories.
The vision of ubiquitous computing and ambient intelligence describes a world of technology which is present anywhere, anytime in the form of smart, sensible devices that communicate with each other and provide personalized services. However, open interconnected systems are much more vulnerable to attacks and unauthorized data access. In the context of this threat, this book provides a comprehensive guide to security and privacy and trust in data management.