Download or read book The Design and Applications of a Privacy preserving Identity and Trust management System written by Mohammed Hussain and published by . This book was released on 2010 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Identities are present in the interactions between individuals and organizations. Online shopping requires credit card information, while e-government services require social security or passport numbers. The involvement of identities, however, makes them susceptible to theft and misuse. The most prominent approach for maintaining the privacy of individuals is the enforcement of privacy policies that regulate the flow and use of identity information. This approach suffers two drawbacks that severely limit its effectiveness. First, recent research in data-mining facilitates the fusion of partial identities into complete identities. That holds true even if the attributes examined are not, normally considered, to be identifying. Second, policies are prone to human error, allowing for identity information to be released accidentally. This thesis presents a system that enables an individual to interact with organizations, without allowing these organizations to link the interactions of that individual together. The system does not release individuals' identities to organizations. Instead, certified artificial identities are used to guarantee that individuals possess the required attributes to successfully participate in the interactions. The system limits the fusion of partial identities and minimizes the effects of human error. The concept of using certified artificial identities has been extensively researched. The system, however, tackles several unaddressed scenarios. The system works not only for interactions that involve an individual and an organization, but also for interactions that involve a set of individuals connected by structured relations. The individuals should prove the existence of relations among them to organizations, yet organizations cannot profile the actions of these individuals. Further, the system allows organizations to be anonymous, while proving their attributes to individuals. Reputation-based trust is incorporated to help individuals make informed decisions whether to deal with a particular organization. The system is used to design applications in e-commerce, access control, reputation management, and cloud computing. The thesis describes the applications in detail.

Download or read book Applied Cryptography and Network Security written by Feng Bao and published by Springer. This book was released on 2012-06-14 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Conference on Applied Cryptography and Network Security, ACNS 2012, held in Singapore, in June 2012. The 33 revised full papers included in this volume were carefully reviewed and selected from 192 submissions. They are organized in topical sessions on authentication, key management, block ciphers, identity-based cryptography, cryptographic primitives, cryptanalysis, side channel attacks, network security, Web security, security and privacy in social networks, security and privacy in RFID systems, security and privacy in cloud systems, and security and privacy in smart grids.

Download or read book Identity Management written by Elisa Bertino and published by Artech House. This book was released on 2010 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital identity can be defined as the digital representation of the information known about a specific individual or organization. Digital identity management technology is an essential function in customizing and enhancing the network user experience, protecting privacy, underpinning accountability in transactions and interactions, and complying with regulatory controls. This practical resource offers you a in-depth understanding of how to design, deploy and assess identity management solutions. It provides a comprehensive overview of current trends and future directions in identity management, including best practices, the standardization landscape, and the latest research finding. Additionally, you get a clear explanation of fundamental notions and techniques that cover the entire identity lifecycle.

Download or read book Security Privacy and Trust in Modern Data Management written by Milan Petkovic and published by Springer Science & Business Media. This book was released on 2007-06-12 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Privacy Technologies and Policy written by Bart Preneel and published by Springer. This book was released on 2014-05-15 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second Annual Privacy Forum, APF 2014, held in Athens, Greece, in May 2014. The 12 revised papers presented in this volume were carefully reviewed and selected from 21 submissions. The topics include: the concept and implementation of "privacy by design", with applications to encrypted databases; the study of video surveillance architectures and new networking concepts and innovative solutions for identity management. The papers address the technical, legal, and economic aspects of these problems.

Download or read book Intelligent Systems Design and Applications written by Ajith Abraham and published by Springer Nature. This book was released on with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Privacy and Identity Management for Life written by Jan Camenisch and published by Springer Science & Business Media. This book was released on 2011-07-07 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the end of the PrimeLife EU project, a book will contain the main research results. It will address primarily researchers. In addition to fundamental research it will contain description of best practice solutions.

Download or read book Digital Privacy written by Jan Camenisch and published by Springer. This book was released on 2011-04-12 with total page 773 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book documents the R&D outcome of the PRIME Project, an R&D project partially funded by the European Union’s Sixth Framework Programme and the Swiss Federal Office for Education and Science. PRIME has focused on privacy-enhancing identity management techniques and systems to support users’ sovereignty over their personal privacy and enterprises’ privacy-compliant data processing. During the course of four years, the project has involved over a hundred researchers and professionals from 22 major European academic and industrial organizations conducting R&D work in areas relevant to digital privacy. The book presents 28 detailed chapters organized in five parts: Introductory summary, legal, social, and economic aspects, realization of privacy-enhancing user-centric identity management, exploitation of PRIME results for applications, conclusions drawn and an outlook on future work. As the first coherent presentation of the topic, this book will serve as a valuable source of reference and inspiration for anybody working on digital privacy.

Download or read book Decentralized Privacy Preservation in Smart Cities written by Cheng Huang and published by Springer. This book was released on 2024-04-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates decentralized trust-based privacy-preserving solutions in smart cities. The authors first present an overview of smart cities and privacy challenges and discuss the benefits of adopting decentralized trust models in achieving privacy preservation. The authors then give a comprehensive review of fundamental decentralized techniques and privacy-preserving cryptographic techniques. The next four chapters each detail a decentralized trust-based scheme, focusing respectively on privacy-preserving identity management, cross-domain authentication, data analytics, and data search, in specific use cases. Finally, the book explores open issues and outlines future research directions in the field of decentralized privacy preservation.

Download or read book Handbook of Research on Mobile Software Engineering Design Implementation and Emergent Applications written by Alencar, Paulo and published by IGI Global. This book was released on 2012-05-31 with total page 1040 pages. Available in PDF, EPUB and Kindle. Book excerpt: The popularity of an increasing number of mobile devices, such as PDAs, laptops, smart phones, and tablet computers, has made the mobile device the central method of communication in many societies. These devices may be used as electronic wallets, social networking tools, or may serve as a person’s main access point to the World Wide Web. The Handbook of Research on Mobile Software Engineering: Design, Implementation, and Emergent Applications highlights state-of-the-art research concerning the key issues surrounding current and future challenges associated with the software engineering of mobile systems and related emergent applications. This handbook addresses gaps in the literature within the area of software engineering and the mobile computing world.

Download or read book Design and Development of a Secure Privacy Preserving and Scalable Blockchain Framework written by Randhir Kumar and published by GRIN Verlag. This book was released on 2023-08-23 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doctoral Thesis / Dissertation from the year 2021 in the subject Computer Science - IT-Security, grade: A, , language: English, abstract: Blockchain is an emerging technology, leveraged with features of decentralization, tamper-proof records storage model based on a Peer-to-Peer architecture. It has been mostly applied in financial applications, and extended to various applications, viz., healthcare, supply-chain, and identity management. However, privacy, security, and scalability are the key challenges in blockchain-based applications that immensely limit the extensive adoption of these extended applications. The work in this thesis addresses the aforementioned challenges, while preserving better privacy, security, and scalability in blockchain-based applications. We propose access control techniques to facilitate better privacy, security in the blockchain network and improve scalability off-chain storage model. First, we propose an access control technique to preserve privacy across the blockchain network such that authorized peers can access the resources. Initially, the access control technique is designed for resource privacy. Further, we extend the policy to preserve privacy in blockchain network by categorizing both peers and resources. In this thesis, we also address another important problem, i.e., scalability in blockchain network while storing large size of data in secure off-chain storage. We use a secure distributed off-chain storage model to address the problem of scalability, based on the structure of the blockchain network. Lastly, we propose two-level of privacy preservation approach in blockchain network, while maintaining the scalability in the network. The proposed approach uses BlockCloud-BlockFog structure for deployment and IPFS-based off-chain storage model for large size data storage. All the proposed frameworks are evaluated using real-world data sets.

Download or read book Security and Trust Management written by Ruben Rios and published by Springer Nature. This book was released on 2023-10-29 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 19th International Workshop on Security and Trust Management, STM 2023, co-located with the 28th European Symposium on Research in Computer Security, ESORICS 2023, held in The Hague, The Netherlands, during September 28th, 2023 The 5 full papers together with 4 short papers included in this volume were carefully reviewed and selected from 15 submissions. The workshop presents papers with topics such as security and privacy, trust models, security services, authentication, identity management, systems security, distributed systems security, privacy-preserving protocols.

Download or read book Trust Management in Cloud Services written by Talal H. Noor and published by Springer. This book was released on 2014-11-14 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the design and implementation of Cloud Armor, a novel approach for credibility-based trust management and automatic discovery of cloud services in distributed and highly dynamic environments. This book also helps cloud users to understand the difficulties of establishing trust in cloud computing and the best criteria for selecting a service cloud. The techniques have been validated by a prototype system implementation and experimental studies using a collection of real world trust feedbacks on cloud services. The authors present the design and implementation of a novel protocol that preserves the consumers’ privacy, an adaptive and robust credibility model, a scalable availability model that relies on a decentralized architecture, and a cloud service crawler engine for automatic cloud services discovery. This book also analyzes results from a performance study on a number of open research issues for trust management in cloud environments including distribution of providers, geographic location and languages. These open research issues illustrate both an overview of the current state of cloud computing and potential future directions for the field. Trust Management in Cloud Services contains both theoretical and applied computing research, making it an ideal reference or secondary text book to both academic and industry professionals interested in cloud services. Advanced-level students in computer science and electrical engineering will also find the content valuable.

Download or read book Trust Privacy and Security in Digital Business written by Claudia Eckert and published by Springer. This book was released on 2014-08-19 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th International Conference on Trust and Privacy in Digital Business, TrustBus 2014, held in Munich, Germany, in September 2014 in conjunction with DEXA 2014. The 16 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in the following topical sections: trust management; trust metrics and evaluation models; privacy and trust in cloud computing; security management; and security, trust, and privacy in mobile and pervasive environments.

Download or read book Privacy aware Authentication and Authorization in Trust Management written by Danfeng Yao (Computer scientist) and published by . This book was released on 2008 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conventional access decisions in stand-alone systems are usually made based on the identity of the entity requesting a resource. By comparison, in open systems such as the Internet, computing grids, and mobile and ad hoc networks, this approach becomes less effective. The main reason is that there is no central authority that has global knowledge of all users and makes access decisions. Instead, the resource owner and the requester typically belong to different security domains administrated by different authorities and are unknown to each other. Trust management refers to access control frameworks that facilitate assured information sharing in open systems. In this thesis, we study authentication and authorization problems in various trust management scenarios, focusing on the requirements of security, efficiency, scalability, and privacy protection. We develop trust management models and cryptographic protocols that satisfy the above requirements without the need of a central authority. Specifically, we present solutions for administrator-free role-based dynamic collaborations, compact and anonymous authorization chains, on-line identity protection, and privacy-preserving recommendation system.

Download or read book Security and Trust Management written by Sara Foresti and published by Springer. This book was released on 2015-09-19 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th International Workshop on Security and Trust Management, STM 2015, held in Vienna, Austria, in September 2015, in conjunction with the 20th European Symposium Research in Computer Security, ESORICS 2015. The 15 revised full papers were carefully reviewed and selected from 38 submissions. They are organized in topical sections as security metrics and classification; data protection; intrusion detection and software vulnerabilities; cryptographic protocols; controlling data release; and security analysis, risk management and usability.

Download or read book Privacy Preserving Machine Learning written by J. Morris Chang and published by Simon and Schuster. This book was released on 2023-05-23 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Keep sensitive user data safe and secure without sacrificing the performance and accuracy of your machine learning models. In Privacy Preserving Machine Learning, you will learn: Privacy considerations in machine learning Differential privacy techniques for machine learning Privacy-preserving synthetic data generation Privacy-enhancing technologies for data mining and database applications Compressive privacy for machine learning Privacy-Preserving Machine Learning is a comprehensive guide to avoiding data breaches in your machine learning projects. You’ll get to grips with modern privacy-enhancing techniques such as differential privacy, compressive privacy, and synthetic data generation. Based on years of DARPA-funded cybersecurity research, ML engineers of all skill levels will benefit from incorporating these privacy-preserving practices into their model development. By the time you’re done reading, you’ll be able to create machine learning systems that preserve user privacy without sacrificing data quality and model performance. About the Technology Machine learning applications need massive amounts of data. It’s up to you to keep the sensitive information in those data sets private and secure. Privacy preservation happens at every point in the ML process, from data collection and ingestion to model development and deployment. This practical book teaches you the skills you’ll need to secure your data pipelines end to end. About the Book Privacy-Preserving Machine Learning explores privacy preservation techniques through real-world use cases in facial recognition, cloud data storage, and more. You’ll learn about practical implementations you can deploy now, future privacy challenges, and how to adapt existing technologies to your needs. Your new skills build towards a complete security data platform project you’ll develop in the final chapter. What’s Inside Differential and compressive privacy techniques Privacy for frequency or mean estimation, naive Bayes classifier, and deep learning Privacy-preserving synthetic data generation Enhanced privacy for data mining and database applications About the Reader For machine learning engineers and developers. Examples in Python and Java. About the Author J. Morris Chang is a professor at the University of South Florida. His research projects have been funded by DARPA and the DoD. Di Zhuang is a security engineer at Snap Inc. Dumindu Samaraweera is an assistant research professor at the University of South Florida. The technical editor for this book, Wilko Henecka, is a senior software engineer at Ambiata where he builds privacy-preserving software. Table of Contents PART 1 - BASICS OF PRIVACY-PRESERVING MACHINE LEARNING WITH DIFFERENTIAL PRIVACY 1 Privacy considerations in machine learning 2 Differential privacy for machine learning 3 Advanced concepts of differential privacy for machine learning PART 2 - LOCAL DIFFERENTIAL PRIVACY AND SYNTHETIC DATA GENERATION 4 Local differential privacy for machine learning 5 Advanced LDP mechanisms for machine learning 6 Privacy-preserving synthetic data generation PART 3 - BUILDING PRIVACY-ASSURED MACHINE LEARNING APPLICATIONS 7 Privacy-preserving data mining techniques 8 Privacy-preserving data management and operations 9 Compressive privacy for machine learning 10 Putting it all together: Designing a privacy-enhanced platform (DataHub)