Download or read book Introduction to Secure Outsourcing Computation written by Xiaofeng Chen and published by Morgan & Claypool Publishers. This book was released on 2016-02-22 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rapid development of cloud computing, the enterprises and individuals can outsource their sensitive data into the cloud server where they can enjoy high quality data storage and computing services in a ubiquitous manner. This is known as the outsourcing computation paradigm. Recently, the problem for securely outsourcing various expensive computations or storage has attracted considerable attention in the academic community. In this book, we focus on the latest technologies and applications of secure outsourcing computations. Specially, we introduce the state-of-the-art research for secure outsourcing some specific functions such as scientific computations, cryptographic basic operations, and verifiable large database with update. The constructions for specific functions use various design tricks and thus result in very efficient protocols for real-world applications. The topic of outsourcing computation is a hot research issue nowadays. Thus, this book will be beneficial to academic researchers in the field of cloud computing and big data security.

Download or read book Introduction to Secure Outsourcing Computation written by Xiaofeng Chen and published by Springer Nature. This book was released on 2022-05-31 with total page 79 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rapid development of cloud computing, the enterprises and individuals can outsource their sensitive data into the cloud server where they can enjoy high quality data storage and computing services in a ubiquitous manner. This is known as the outsourcing computation paradigm. Recently, the problem for securely outsourcing various expensive computations or storage has attracted considerable attention in the academic community. In this book, we focus on the latest technologies and applications of secure outsourcing computations. Specially, we introduce the state-of-the-art research for secure outsourcing some specific functions such as scientific computations, cryptographic basic operations, and verifiable large database with update. The constructions for specific functions use various design tricks and thus result in very efficient protocols for real-world applications. The topic of outsourcing computation is a hot research issue nowadays. Thus, this book will be beneficial to academic researchers in the field of cloud computing and big data security.

Download or read book Secure Outsourced Computation on Encrypted Data written by Asma Aloufi and published by . This book was released on 2020 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Homomorphic encryption (HE) is a promising cryptographic technique that supports computations on encrypted data without requiring decryption first. This ability allows sensitive data, such as genomic, financial, or location data, to be outsourced for evaluation in a resourceful third-party such as the cloud without compromising data privacy. Basic homomorphic primitives support addition and multiplication on ciphertexts. These primitives can be utilized to represent essential computations, such as logic gates, which subsequently can support more complex functions. We propose the construction of efficient cryptographic protocols as building blocks (e.g., equality, comparison, and counting) that are commonly used in data analytics and machine learning. We explore the use of these building blocks in two privacy-preserving applications. One application leverages our secure prefix matching algorithm, which builds on top of the equality operation, to process geospatial queries on encrypted locations. The other applies our secure comparison protocol to perform conditional branching in private evaluation of decision trees. There are many outsourced computations that require joint evaluation on private data owned by multiple parties. For example, Genome-Wide Association Study (GWAS) is becoming feasible because of the recent advances of genome sequencing technology. Due to the sensitivity of genomic data, this data is encrypted using different keys possessed by different data owners. Computing on ciphertexts encrypted with multiple keys is a non-trivial task. Current solutions often require a joint key setup before any computation such as in threshold HE or incur large ciphertext size (at best, grows linearly in the number of involved keys) such as in multi-key HE. We propose a hybrid approach that combines the advantages of threshold and multi-key HE to support computations on ciphertexts encrypted with different keys while vastly reducing ciphertext size. Moreover, we propose the SparkFHE framework to support large-scale secure data analytics in the Cloud. SparkFHE integrates Apache Spark with Fully HE to support secure distributed data analytics and machine learning and make two novel contributions: (1) enabling Spark to perform efficient computation on large datasets while preserving user privacy, and (2) accelerating intensive homomorphic computation through parallelization of tasks across clusters of computing nodes. To our best knowledge, SparkFHE is the first addressing these two needs simultaneously."--Abstract.

Download or read book Managing Risk and Security in Outsourcing IT Services written by Frank Siepmann and published by CRC Press. This book was released on 2013-12-09 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: With cloud computing quickly becoming a standard in today's IT environments, many security experts are raising concerns regarding security and privacy in outsourced cloud environments-requiring a change in how we evaluate risk and protect information, processes, and people.Managing Risk and Security in Outsourcing IT Services: Onshore, Offshore and

Download or read book Engineering Secure Two Party Computation Protocols written by Thomas Schneider and published by Springer Science & Business Media. This book was released on 2012-08-04 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: Secure two-party computation, called secure function evaluation (SFE), enables two mutually mistrusting parties, the client and server, to evaluate an arbitrary function on their respective private inputs while revealing nothing but the result. Originally the technique was considered to be too inefficient for practical privacy-preserving applications, but in recent years rapid speed-up in computers and communication networks, algorithmic improvements, automatic generation, and optimizations have enabled their application in many scenarios. The author offers an extensive overview of the most practical and efficient modern techniques used in the design and implementation of secure computation and related protocols. After an introduction that sets secure computation in its larger context of other privacy-enhancing technologies such as secure channels and trusted computing, he covers the basics of practically efficient secure function evaluation, circuit optimizations and constructions, hardware-assisted garbled circuit protocols, and the modular design of efficient SFE protocols. The goal of the author's research is to use algorithm engineering methods to engineer efficient secure protocols, both as a generic tool and for solving practical applications, and he achieves an excellent balance between the theory and applicability. The book is essential for researchers, students and practitioners in the area of applied cryptography and information security who aim to construct practical cryptographic protocols for privacy-preserving real-world applications.

Download or read book Security for Cloud Computing written by Flavio Lombardi and published by Artech House. This book was released on 2015 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive resource presents a highly informative overview of cloud computing security issues. This book focuses on relevant approaches aimed at monitoring and protecting computation and data hosted on heterogeneous computing resources. The most critical security aspects are thoroughly discussed, highlighting the importance of reliable secure computation over remote heterogeneous cloud nodes. This book shows that present cloud computing is inherently insecure therefore advanced execution models have to be developed to prevent unauthorized users from accessing or affecting others' data and computation. The cloud approach enables on-demand scalable services that allow performing large computations without the costs and maintenance/management issues of costly server farms (thus enabling a novel kind of outsourced computing). Essential reading for software and computer engineers as well as data architects and IT professionals to better understand the complexity and heterogeneity of modern cloud- based scenarios.

Download or read book Secure Data Service Outsourcing in Cloud Computing written by Cong Wang and published by . This book was released on 2012 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Computer Security and Encryption written by S. R. Chauhan and published by Mercury Learning and Information. This book was released on 2020-06-26 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Because of the rapid growth of cybercrime, cryptography and system security may be the fastest growing technologies in our culture today. This book describes various aspects of cryptography and system security, with a particular emphasis on the use of rigorous security models and practices in the design of networks and systems. The first portion of the book presents the overall system security concepts and provides a general overview of its features, such as object model and inter-object communications. The objective is to provide an understanding of the cryptography underpinnings on which the rest of the book is based. The book is designed to meet the needs of beginners as well as more advanced readers. Features: Covers the major components of cryptography and system security, with a particular emphasis on the use of rigorous security models and practices used in the design of networks and systems Includes a discussion of emerging technologies such as Big Data Analytics, cloud computing, Internet of Things (IoT), Smart Grid, SCADA, control systems, and Wireless Sensor Networks (WSN)

Download or read book Progress in Cryptology AFRICACRYPT 2011 written by Abderrahmane Nitaj and published by Springer Science & Business Media. This book was released on 2011-06-22 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference on the Theory and Application of Cryptographic Techniques in Africa, AFRICACRYPT 2011, held in Dakar, Senegal, in July 2011. The 23 papers presented together with abstracts of 3 invited talks were carefully reviewed and selected from 76 submissions. They are organized in topical sections on protocols, cryptanalysis, secret-key cryptography, efficient implementations, cryptographic schemes, algorithmic problems, elliptic curves, fault analysis, and security proofs.

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.

Download or read book Secure and Verifiable Outsourcing of Computation and Storage written by Yihua Zhang and published by . This book was released on 2015 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Cloud Computing Security written by John R. Vacca and published by CRC Press. This book was released on 2016-09-19 with total page 663 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook offers a comprehensive overview of cloud computing security technology and implementation, while exploring practical solutions to a wide range of cloud computing security issues. With more organizations using cloud computing and cloud providers for data operations, proper security in these and other potentially vulnerable areas have become a priority for organizations of all sizes across the globe. Research efforts from both academia and industry in all security aspects related to cloud computing are gathered within one reference guide.

Download or read book A Pragmatic Introduction to Secure Multi Party Computation written by David Evans and published by Foundations and Trends (R) in Privacy and Security. This book was released on 2018-12-19 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practitioners and researchers seeking a concise, accessible introduction to secure multi-party computation which quickly enables them to build practical systems or conduct further research will find this essential reading.

Download or read book Privacy and Security for Cloud Computing written by Siani Pearson and published by Springer Science & Business Media. This book was released on 2012-08-28 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book analyzes the latest advances in privacy, security and risk technologies within cloud environments. With contributions from leading experts, the text presents both a solid overview of the field and novel, cutting-edge research. A Glossary is also included at the end of the book. Topics and features: considers the various forensic challenges for legal access to data in a cloud computing environment; discusses privacy impact assessments for the cloud, and examines the use of cloud audits to attenuate cloud security problems; reviews conceptual issues, basic requirements and practical suggestions for provisioning dynamically configured access control services in the cloud; proposes scoped invariants as a primitive for analyzing a cloud server for its integrity properties; investigates the applicability of existing controls for mitigating information security risks to cloud computing environments; describes risk management for cloud computing from an enterprise perspective.

Download or read book Secure Computation in the Real World written by Antonio Marcedone and published by . This book was released on 2019 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Secure multiparty computation protocols allow multiple distrustful parties to jointly compute a function of their private data while both ensuring correctness of the results and maintaining maximum privacy. Recent progress in concretely efficient implementations has shown that these once theoretical tools are becoming mature enough to secure a variety of applications from cryptocurrencies and auctions to machine learning and medical diagnosis. However, there is still a gap between the requirements of many real world scenarios and the guarantees and performance offered by generic protocols. In this dissertation, I demonstrate how tailoring secure computation protocols to the requirements of specific applications can allow for efficient solutions that can be deployed today. In particular, I focus and improve upon the scalability and practicality of the following concrete applications: 1. Hardware wallets are small special purpose devices that are used to store the secret keys that allow users to control their cryptocurrency funds. Surprisingly, hardware wallets currently on the market provide little guarantees against an adversarial (malicious) manufacturer (or equivalently a compromised supply chain). This puts user funds at risk. Current solutions either provide vague and ad hoc security guarantees or rely on generic secure computation protocols that are not practical to use. We introduce a formal security model for hardware wallets that adequately captures the capability of an arbitrary adversary and design a concretely efficient solution by constructing a special purpose threshold signature scheme that meets this definition. 2. I investigate how to perform large-scale machine learning training on data held by thousands of mobile phones in a privacy-preserving way. Referred to as federated learning, this scenario presents unique challenges where mobile phones coordinate through a central server and have limited bandwidth and computational resources. Crucially, the situation demands that the computation proceeds to completion even if users drop out anytime due to network or other issues. To allow training models in this distributed scenario without leaking sensitive user data, we design and implement a new efficient Secure Aggregation protocol that provides strong privacy guarantees while less than doubling the communication necessary for training. Google is currently evaluating this scheme in the context of next-word prediction in their Android keyboard app. 3. I look at the more general problem of how to securely compute arithmetic functionalities. These include many tasks such as statistics, machine learning computations, and cryptographic primitives (e.g., threshold ECDSA operations which are useful for cryptocurrencies). While a lot of progress has been made in the context of securely evaluating boolean functions, significant bottlenecks remain for arithmetic functions. We design and implement a new protocol which can evaluate any arithmetic circuit with active security (i.e. secure against parties who can deviate from the protocol arbitrarily). The protocol can be built generically (black-box) using any passive (i.e. secure against an adversary who follows the protocol but tries to extract information from it) instantiation of a simpler building block referred to as the OLE functionality. Furthermore, it requires as little as two times more OLE invocations over what is currently needed by protocols that only achieve passive security. In contrast, previous works have either focused only on passive security or relied on concrete implementations of OLE functionality (often using not-well-know assumptions). Our experiments demonstrate that for a wide range of applications, our protocol outperforms the state of the art (TinyOLE and Overdrive) while relying on standard assumptions.

Download or read book Data Security in Cloud Storage written by Yuan Zhang and published by Springer Nature. This book was released on 2020-06-01 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive overview of data security in cloud storage, ranging from basic paradigms and principles, to typical security issues and practical security solutions. It also illustrates how malicious attackers benefit from the compromised security of outsourced data in cloud storage and how attacks work in real situations, together with the countermeasures used to ensure the security of outsourced data. Furthermore, the book introduces a number of emerging technologies that hold considerable potential – for example, blockchain, trusted execution environment, and indistinguishability obfuscation – and outlines open issues and future research directions in cloud storage security. The topics addressed are important for the academic community, but are also crucial for industry, since cloud storage has become a fundamental component in many applications. The book offers a general introduction for interested readers with a basic modern cryptography background, and a reference guide for researchers and practitioners in the fields of data security and cloud storage. It will also help developers and engineers understand why some current systems are insecure and inefficient, and move them to design and develop improved systems.

Download or read book Algorithms for Data and Computation Privacy written by Alex X. Liu and published by Springer. This book was released on 2020-11-29 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.