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Book An Enhanced Homomorphic Encryption Model for Preserving Privacy in Clouds

Download or read book An Enhanced Homomorphic Encryption Model for Preserving Privacy in Clouds written by Sonam Mittal and published by . This book was released on 2023-05-25 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "An Enhanced Homomorphic Encryption Model for Preserving Privacy in Clouds" is a comprehensive and innovative book that explores the application of enhanced homomorphic encryption techniques to safeguard privacy in cloud computing environments. Authored by experts in the field, this book serves as a valuable resource for researchers, professionals, and practitioners interested in leveraging advanced encryption methods to protect sensitive data while harnessing the benefits of cloud computing. In this book, the authors delve into the critical need for privacy preservation in cloud computing, where data is outsourced to remote servers. They introduce an enhanced homomorphic encryption model that enables computations on encrypted data, allowing secure and privacy-preserving data processing in cloud environments. The book covers various aspects of the enhanced homomorphic encryption model, including its theoretical foundations, implementation considerations, and practical applications. Key topics covered in this book include: Privacy challenges in cloud computing: The authors provide a comprehensive overview of the privacy concerns associated with cloud computing, including data leakage, unauthorized access, and privacy breaches. They highlight the need for encryption techniques that allow data to remain confidential even when processed in the cloud. Homomorphic encryption fundamentals: The book offers an in-depth exploration of homomorphic encryption techniques and their applications in cloud computing. Readers gain a solid understanding of fully homomorphic encryption (FHE) and its variations, including partially homomorphic encryption (PHE) and somewhat homomorphic encryption (SHE). Enhanced homomorphic encryption model: The authors present their enhanced homomorphic encryption model that incorporates innovative approaches to improve the efficiency, scalability, and security of homomorphic encryption. They discuss techniques such as ciphertext compression, parallelization, and optimization algorithms, ensuring the practicality of the encryption model for real-world cloud computing scenarios. Secure data processing in the cloud: The book explores how the enhanced homomorphic encryption model enables secure and privacy-preserving data processing in cloud environments. It covers various applications, including secure search, data mining, machine learning, and data analytics, demonstrating how encrypted data can be utilized without compromising privacy. Performance considerations and trade-offs: The authors address the performance challenges and trade-offs associated with homomorphic encryption. They discuss factors such as computation complexity, encryption overhead, and key management, providing insights into optimizing the performance of the enhanced homomorphic encryption model. Practical implementation and case studies: The book includes practical implementation considerations and case studies that showcase the deployment and effectiveness of the enhanced homomorphic encryption model in real-world cloud computing scenarios. The case studies cover domains such as healthcare, finance, and sensitive data sharing, illustrating the practicality and benefits of the proposed model. Throughout the book, the authors provide insights, practical examples, and algorithmic explanations to facilitate a deep understanding of the enhanced homomorphic encryption model. By leveraging the power of enhanced homomorphic encryption, "An Enhanced Homomorphic Encryption Model for Preserving Privacy in Clouds" equips its readers with the knowledge and tools necessary to protect sensitive data, preserve privacy, and enable secure cloud-based computations.

Book Protecting Privacy through Homomorphic Encryption

Download or read book Protecting Privacy through Homomorphic Encryption written by Kristin Lauter and published by Springer Nature. This book was released on 2022-01-04 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book summarizes recent inventions, provides guidelines and recommendations, and demonstrates many practical applications of homomorphic encryption. This collection of papers represents the combined wisdom of the community of leading experts on Homomorphic Encryption. In the past 3 years, a global community consisting of researchers in academia, industry, and government, has been working closely to standardize homomorphic encryption. This is the first publication of whitepapers created by these experts that comprehensively describes the scientific inventions, presents a concrete security analysis, and broadly discusses applicable use scenarios and markets. This book also features a collection of privacy-preserving machine learning applications powered by homomorphic encryption designed by groups of top graduate students worldwide at the Private AI Bootcamp hosted by Microsoft Research. The volume aims to connect non-expert readers with this important new cryptographic technology in an accessible and actionable way. Readers who have heard good things about homomorphic encryption but are not familiar with the details will find this book full of inspiration. Readers who have preconceived biases based on out-of-date knowledge will see the recent progress made by industrial and academic pioneers on optimizing and standardizing this technology. A clear picture of how homomorphic encryption works, how to use it to solve real-world problems, and how to efficiently strengthen privacy protection, will naturally become clear.

Book Security  Privacy and Trust in Cloud Systems

Download or read book Security Privacy and Trust in Cloud Systems written by Surya Nepal and published by Springer Science & Business Media. This book was released on 2013-09-03 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book compiles technologies for enhancing and provisioning security, privacy and trust in cloud systems based on Quality of Service requirements. It is a timely contribution to a field that is gaining considerable research interest, momentum, and provides a comprehensive coverage of technologies related to cloud security, privacy and trust. In particular, the book includes - Cloud security fundamentals and related technologies to-date, with a comprehensive coverage of evolution, current landscape, and future roadmap. - A smooth organization with introductory, advanced and specialist content, i.e. from basics of security, privacy and trust in cloud systems, to advanced cartographic techniques, case studies covering both social and technological aspects, and advanced platforms. - Case studies written by professionals and/or industrial researchers. - Inclusion of a section on Cloud security and eGovernance tutorial that can be used for knowledge transfer and teaching purpose. - Identification of open research issues to help practitioners and researchers. The book is a timely topic for readers, including practicing engineers and academics, in the domains related to the engineering, science, and art of building networks and networked applications. Specifically, upon reading this book, audiences will perceive the following benefits: 1. Learn the state-of-the-art in research and development on cloud security, privacy and trust. 2. Obtain a future roadmap by learning open research issues. 3. Gather the background knowledge to tackle key problems, whose solutions will enhance the evolution of next-generation secure cloud systems.

Book Privacy Preservation and Secured Data Storage in Cloud Computing

Download or read book Privacy Preservation and Secured Data Storage in Cloud Computing written by D., Lakshmi and published by IGI Global. This book was released on 2023-10-25 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: As cloud services become increasingly popular, safeguarding sensitive data has become paramount. Privacy Preservation and Secured Data Storage in Cloud Computing is a comprehensive book that addresses the critical concerns surrounding privacy and security in the realm of cloud computing. Beginning with an introduction to cloud computing and its underlying technologies, the book explores various models of cloud service delivery. It then delves into the challenges and risks associated with storing and processing data in the cloud, including data breaches, insider threats, and third-party access. The book thoroughly examines techniques and tools to enhance privacy and security in the cloud, covering encryption, access control, data anonymization, and other measures to mitigate risks. Additionally, it explores emerging trends and opportunities in cloud security, such as blockchain-based solutions, homomorphic encryption, and other cutting-edge technologies poised to transform data privacy and security. This invaluable resource offers practical advice and in-depth analysis for cloud service providers, IT professionals, researchers, and students seeking to understand best practices for securing data in the cloud.

Book Homomorphic Encryption and Applications

Download or read book Homomorphic Encryption and Applications written by Xun Yi and published by Springer. This book was released on 2014-11-06 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the fundamental concepts of homomorphic encryption. From these foundations, applications are developed in the fields of private information retrieval, private searching on streaming data, privacy-preserving data mining, electronic voting and cloud computing. The content is presented in an instructional and practical style, with concrete examples to enhance the reader's understanding. This volume achieves a balance between the theoretical and the practical components of modern information security. Readers will learn key principles of homomorphic encryption as well as their application in solving real world problems.

Book Advances to Homomorphic and Searchable Encryption

Download or read book Advances to Homomorphic and Searchable Encryption written by Stefania Loredana Nita and published by Springer Nature. This book was released on 2023-10-28 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Shaping the Future of Automation With Cloud Enhanced Robotics

Download or read book Shaping the Future of Automation With Cloud Enhanced Robotics written by Gatti, Rathishchandra Ramachandra and published by IGI Global. This book was released on 2024-04-26 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world where automation is quickly becoming a standard, a significant challenge arises – the need for robots to overcome their inherent limitations in processing power and storage. This bottleneck restricts their potential for innovation and collaboration, hindering the realization of true autonomous capabilities. The burgeoning field of Cloud Robotics promises a revolutionary solution by seamlessly integrating robots with cloud-based technologies. This integration empowers robots to offload computation tasks, tap into vast data resources, and engage in real-time collaboration with their mechanical counterparts. Existing literature often falls short of providing a holistic understanding of the complex interplay between robotics and cloud computing. Researchers, academics, and industry professionals find themselves grappling with fragmented insights, hindering their ability to harness the full potential of cloud-enhanced robotics. The lack of a centralized resource leaves a void, impeding progress and innovation in this groundbreaking field. Without a roadmap to navigate the challenges and opportunities presented by cloud robotics, stakeholders risk being left behind in an era where interdisciplinary collaboration is paramount. Enter Shaping the Future of Automation With Cloud-Enhanced Robotics, a beacon of knowledge designed specifically for academics, researchers, and industry professionals seeking to unlock the transformative power of cloud robotics. From fundamental principles to advanced applications, each chapter meticulously unravels the intricacies of cloud infrastructure, communication protocols, data management, human-robot interaction, and more. By addressing challenges and proposing solutions, this book not only disseminates recent advancements but also equips readers with actionable insights. Real-world examples and case studies illuminate the practical applications and benefits of cloud-enhanced robotics, making it an indispensable guide for professionals aiming to implement these innovations in their operations.

Book Enhancement in Homomorphic Encryption Scheme for Cloud Data Security

Download or read book Enhancement in Homomorphic Encryption Scheme for Cloud Data Security written by Independently Published and published by . This book was released on 2017-12-13 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cloud computing is a technology or distributed network where user can move their data and any application software on it. With the use of this technology user need not to worry about the cost of hardware installation and their maintenance cost. Cloud computing provide different services to user. Cloud computing is now become most popular technology because of its availability, low cost and some other factors. But there is some issues in cloud computing, the main one is security because every user store their useful data on the network so they want their data should be protected from any unauthorized access, any changes that is not done on user's behalf. There are different encryption techniques used for security purpose like FDE and FHE. FDE encrypts the entire disk and FHE encrypts the particular functions. In representative architecture we use the term FHE for encryption. To solve the problem of Key management, Key Sharing various schemes have been proposed. The third party auditor is the scheme for key management and key sharing. The main advantage of this is the cloud service provider can offer the functions which were provided by the traditional third party auditor and make it trustful. The third party auditing scheme will be failed, if the third party's security is compromised or of the third party will be malicious. To solve this problem, we will work on to design new modal for key sharing and key management in fully Homomorphic Encryption scheme. In this we use the symmetric key agreement algorithm named Diffie Hellman, it is key exchange algorithm with create session key between two parties who want to communicate with each other and HMAC for the data integrity OTP(One Time Password) is created which provides more security. Due to this the problem of managing the key is removed and data is more secured.

Book Virtual and Mobile Healthcare  Breakthroughs in Research and Practice

Download or read book Virtual and Mobile Healthcare Breakthroughs in Research and Practice written by Management Association, Information Resources and published by IGI Global. This book was released on 2019-09-06 with total page 1064 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the primary topics at the center of discussion, and very often debate, between industry professionals, government officials, and the general public is the current healthcare system and the potential for an overhaul of its processes and services. Many organizations concerned for the long-term care of patients wish to see new strategies, practices, and organizational tools developed to optimize healthcare systems all over the world. One of the central engines of the current shift toward reorientation of healthcare services is virtual and mobile healthcare. Virtual and Mobile Healthcare: Breakthroughs in Research and Practice explores the trends, challenges, and issues related to the emergence of mobile and virtual healthcare. The book also examines how mobile technologies can best be used for the benefit of both doctors and their patients. Highlighting a range of topics such as smart healthcare, electronic health records, and m-health, this publication is an ideal reference source for medical professionals, healthcare administrators, doctors, nurses, practitioners, and researchers in all areas of the medical field.

Book Cloud security mechanisms

    Book Details:
  • Author : Neuhaus, Christian
  • Publisher : Universitätsverlag Potsdam
  • Release : 2014-10-09
  • ISBN : 3869562811
  • Pages : 88 pages

Download or read book Cloud security mechanisms written by Neuhaus, Christian and published by Universitätsverlag Potsdam. This book was released on 2014-10-09 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cloud computing has brought great benefits in cost and flexibility for provisioning services. The greatest challenge of cloud computing remains however the question of security. The current standard tools in access control mechanisms and cryptography can only partly solve the security challenges of cloud infrastructures. In the recent years of research in security and cryptography, novel mechanisms, protocols and algorithms have emerged that offer new ways to create secure services atop cloud infrastructures. This report provides introductions to a selection of security mechanisms that were part of the "Cloud Security Mechanisms" seminar in summer term 2013 at HPI.

Book Cryptography for Security and Privacy in Cloud Computing

Download or read book Cryptography for Security and Privacy in Cloud Computing written by Stefan Rass and published by Artech House. This book was released on 2013-11-01 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: As is common practice in research, many new cryptographic techniques have been developed to tackle either a theoretical question or foreseeing a soon to become reality application. Cloud computing is one of these new areas, where cryptography is expected to unveil its power by bringing striking new features to the cloud. Cloud computing is an evolving paradigm, whose basic attempt is to shift computing and storage capabilities to external service providers. This resource offers an overview of the possibilities of cryptography for protecting data and identity information, much beyond well-known cryptographic primitives such as encryption or digital signatures. This book represents a compilation of various recent cryptographic primitives, providing readers with the features and limitations of each.

Book A Comparative Study on Homomorphic Encryption Algorithms for Data Security in Cloud Environment

Download or read book A Comparative Study on Homomorphic Encryption Algorithms for Data Security in Cloud Environment written by Devi P and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Security in cloud is the prime prerequisite due to the fact of digital violations/ cyber-crimes, hacking and attacks are the common words we hear in day to day digital sectors mainly like banking, healthcare, etc. Nowadays, data is been stored in cloud for easy access and retrieval and the privacy preserving is the biggest challenge in cloud. Henceforth, sensitive data is to be safeguarded before storing it to cloud by encrypting, one among the strongest and secured is homomorphic encryption technique where the operations is on the scrambled information where the computation is been carried out without knowing the actual data and easy to connect in any framework by utilizing different open key algorithms. In this paper, the primary concentrate is on open key cryptographic algorithms in view of homomorphic encryption conspire for protecting security. The contextual investigation on different standards and properties of homomorphic encryption is given as the analyzing proof.

Book Fully Homomorphic Encryption in Real World Applications

Download or read book Fully Homomorphic Encryption in Real World Applications written by Ayantika Chatterjee and published by Springer. This book was released on 2019-03-29 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the latest developments in fully homomorphic encryption (FHE), an effective means of performing arbitrary operations on encrypted data before storing it in the ‘cloud’. The book begins by addressing perennial problems like sorting and searching through FHE data, followed by a detailed discussion of the basic components of any algorithm and adapting them to handle FHE data. In turn, the book focuses on algorithms in both non-recursive and recursive versions and discusses their realizations and challenges while operating in the FHE domain on existing unencrypted processors. It highlights potential complications and proposes solutions for encrypted database design with complex queries, including the basic design details of an encrypted processor architecture to support FHE operations in real-world applications.

Book Energy Efficient Computing and Communication

Download or read book Energy Efficient Computing and Communication written by Sangheon Pack and published by MDPI. This book was released on 2020-06-18 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information and communication technology (ICT) is reponsible for up to 10% of world power consumption. In particular, communications and computing systems are indispensable elements in ICT; thus, determining how to improve the energy efficiency in communications and computing systems has become one of the most important issues for realizing green ICT. Even though a number of studies have been conducted, most of them focused on one aspect—either communications or computing systems. However, salient features in communications and computing systems should be jointly considered, and novel holistic approaches across communications and computing systems are strongly required to implement energy-efficient systems. In addition, emerging systems, such as energy-harvesting IoT devices, cyber-physical systems (CPSs), autonomous vehicles (AVs), and unmanned aerial vehicles (UAVs), require new approaches to satisfy their strict energy consumption requirements in mission-critical situations. The goal of this Special Issue is to disseminate the recent advances in energy-efficient communications and computing systems. Review and survey papers on these topics are welcome. Potential topics include, but are not limited to, the following: • energy-efficient communications: from physical layer to application layer; • energy-efficient computing systems; • energy-efficient network architecture: through SDN/NFV/network slicing; • energy-efficient system design; • energy-efficient Internet of Things (IoT) and Industrial IoT (IIoT); • energy-efficient edge/fog/cloud computing; • new approaches for energy-efficient computing and communications (e.g., AI/ML and data-driven approaches); • new performance metrics on energy efficiency in emerging systems; • energy harvesting and simultaneous wireless information and power transfer (SWIPT); • smart grid and vehicle-to-grid (V2G); and • standardization and open source activities for energy efficient systems.

Book Secure Cloud Computing

    Book Details:
  • Author : Sushil Jajodia
  • Publisher : Springer Science & Business Media
  • Release : 2014-01-23
  • ISBN : 1461492785
  • Pages : 351 pages

Download or read book Secure Cloud Computing written by Sushil Jajodia and published by Springer Science & Business Media. This book was released on 2014-01-23 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a range of cloud computing security challenges and promising solution paths. The first two chapters focus on practical considerations of cloud computing. In Chapter 1, Chandramouli, Iorga, and Chokani describe the evolution of cloud computing and the current state of practice, followed by the challenges of cryptographic key management in the cloud. In Chapter 2, Chen and Sion present a dollar cost model of cloud computing and explore the economic viability of cloud computing with and without security mechanisms involving cryptographic mechanisms. The next two chapters address security issues of the cloud infrastructure. In Chapter 3, Szefer and Lee describe a hardware-enhanced security architecture that protects the confidentiality and integrity of a virtual machine’s memory from an untrusted or malicious hypervisor. In Chapter 4, Tsugawa et al. discuss the security issues introduced when Software-Defined Networking (SDN) is deployed within and across clouds. Chapters 5-9 focus on the protection of data stored in the cloud. In Chapter 5, Wang et al. present two storage isolation schemes that enable cloud users with high security requirements to verify that their disk storage is isolated from some or all other users, without any cooperation from cloud service providers. In Chapter 6, De Capitani di Vimercati, Foresti, and Samarati describe emerging approaches for protecting data stored externally and for enforcing fine-grained and selective accesses on them, and illustrate how the combination of these approaches can introduce new privacy risks. In Chapter 7, Le, Kant, and Jajodia explore data access challenges in collaborative enterprise computing environments where multiple parties formulate their own authorization rules, and discuss the problems of rule consistency, enforcement, and dynamic updates. In Chapter 8, Smith et al. address key challenges to the practical realization of a system that supports query execution over remote encrypted data without exposing decryption keys or plaintext at the server. In Chapter 9, Sun et al. provide an overview of secure search techniques over encrypted data, and then elaborate on a scheme that can achieve privacy-preserving multi-keyword text search. The next three chapters focus on the secure deployment of computations to the cloud. In Chapter 10, Oktay el al. present a risk-based approach for workload partitioning in hybrid clouds that selectively outsources data and computation based on their level of sensitivity. The chapter also describes a vulnerability assessment framework for cloud computing environments. In Chapter 11, Albanese et al. present a solution for deploying a mission in the cloud while minimizing the mission’s exposure to known vulnerabilities, and a cost-effective approach to harden the computational resources selected to support the mission. In Chapter 12, Kontaxis et al. describe a system that generates computational decoys to introduce uncertainty and deceive adversaries as to which data and computation is legitimate. The last section of the book addresses issues related to security monitoring and system resilience. In Chapter 13, Zhou presents a secure, provenance-based capability that captures dependencies between system states, tracks state changes over time, and that answers attribution questions about the existence, or change, of a system’s state at a given time. In Chapter 14, Wu et al. present a monitoring capability for multicore architectures that runs monitoring threads concurrently with user or kernel code to constantly check for security violations. Finally, in Chapter 15, Hasan Cam describes how to manage the risk and resilience of cyber-physical systems by employing controllability and observability techniques for linear and non-linear systems.

Book Algorithms for Data and Computation Privacy

Download or read book Algorithms for Data and Computation Privacy written by Alex X. Liu and published by Springer Nature. This book was released on 2020-11-28 with total page 404 pages. 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.

Book Privacy Preserving Data Mining

Download or read book Privacy Preserving Data Mining written by Jaideep Vaidya and published by Springer Science & Business Media. This book was released on 2006-09-28 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Privacy preserving data mining implies the "mining" of knowledge from distributed data without violating the privacy of the individual/corporations involved in contributing the data. This volume provides a comprehensive overview of available approaches, techniques and open problems in privacy preserving data mining. Crystallizing much of the underlying foundation, the book aims to inspire further research in this new and growing area. Privacy Preserving Data Mining is intended to be accessible to industry practitioners and policy makers, to help inform future decision making and legislation, and to serve as a useful technical reference.