1,721,087 research outputs found
Security in communication networks : 4th international conference, SCN 2004, Amalfi, Italy, September 8-10, 2004 : revised selected papers
No full textThis book constitutes the thoroughly refereed postproceedings of the 4th International Conference on Security in Communication Networks, SCN 2004, held in Amalfi, Italy in September 2004.The 25 revised full papers presented together with an invited paper were carefully selected during two rounds of reviewing and improvement. The papers are organized in topical sections on reduction of security and primitives, digital signature schemes, anonymity and privacy, authentication and identification, zero knowledge, public key cryptosystems, distributed cryptography, cryptanalysis of public key crypto systems, cryptanalysis, email security, and key distribution and feedback shift registers
A lightweight protocol for dynamic RFID identification
No full textRFID technology is widely used worldwide in a broad range of applications. Such technology however raises security concerns about the protection of the information stored in the RFID tags and exchanged during the wireless communication with the readers. In this work we propose an efficient protocol for tag identification which improves on previous proposals and provides an increased level of security, allowing dynamic addition or remotion of tags from the set of recognized tags. The protocol relies on the use of skip lists, authenticated data structures previously used in other fields of application
Visual cryptography and secret image sharing
No full textWith rapid progress in Internet and digital imaging technology, there are more and more ways to easily create, publish, and distribute images. Considered the first book to focus on the relationship between digital imaging and privacy protection, Visual Cryptography and Secret Image Sharing is a complete introduction to novel security methods and sharing-control mechanisms used to protect against unauthorized data access and secure dissemination of sensitive information.Image data protection and image-based authentication techniques offer efficient solutions for controlling how private data and images are made available only to select people. Essential to the design of systems used to manage images that contain sensitive datasuch as medical records, financial transactions, and electronic voting systemsthe methods presented in this book are useful to counter traditional encryption techniques, which do not scale well and are less efficient when applied directly to image files.An exploration of the most prominent topics in digital imaging security, this book discusses:Potential for sharing multiple secretsVisual cryptography schemes based either on the probabilistic reconstruction of the secret image, or on different logical operations for combining shared imagesInclusion of pictures in the distributed sharesContrast enhancement techniquesColor-image visual cryptographyCheating preventionAlignment problems for image sharesSteganography and authenticationIn the continually evolving world of secure image sharing, a growing number of people are becoming involved as new applications and business models are being developed all the time. This contributed volume gives academicians, researchers, and professionals the insight of well-known experts on key concepts, issues, trends, and technologies in this emerging field"--Provided by publisher.
"Preface Secure digital imaging is an important research area combining methods and techniques coming from cryptography and image processing. Visual cryptography and in general secret image sharing techniques enable distributing sensitive visual materials to involved participants through public communication channels, as the generated secure images do not reveal any information if they are not combined in the prescribed way. In visual cryptography, the decoding process is performed directly by the human eyes, while in general, the shared images need some processing to reconstruct the secret image. The increasing number of possibilities to create, publish, and distribute images calls for novel protection methods, o ering new sharing and access control mechanisms for the information contained in the published images. Secure image sharing techniques overcome the traditional cryptographic approach, providing new solutions for the development of new and secure imaging applications. Since both digital imaging and privacy protection are two research themes that involve a continuously growing number of people and applications, the book focuses on secure image sharing techniques, o ering an interesting reference point for studying and developing solutions needed in such areas. This book aims to ll the existing literature gap, providing a valid guide for professional people and/or researchers interested in such elds of research. It provides a scienti cally and scholarly sound treatment of state-of-the-art techniques to students, researchers, academics, and practitioners who are interested or involved in the study, research, use, design, and development of image sharing techniques"
Image watermarking using visual cryptography
No full textCopyright protection is a very important issue in our digital society, where a very large amount of multimedia data are daily generated and distributed using different kinds of consumer electronic devices and very popular communication channels, such as the Web and the social networks. In this chapter we describe some of the approaches that have been recently proposed for the copyright protection of digital images, exploiting the combination of watermarking techniques with visual cryptography schemes. The combined schemes take advantage of both techniques in terms of robustness and simplicity, and provide some important solutions for tampering verification and the resolution of disputes on the ownership of a given image
Biometrics and privacy
No full textBy now, biometric systems find already home in a broad range of commercial and institutional applications. They are typically employed to authenticate users before allowing access to restricted areas or services. The interest in biometrics is mainly due to their potential advantages over traditional authentication procedures. Such advantages extend across: security, accuracy, reliability, usability, and friendliness. Unfortunately, with the benefits also possible risks arise. A main concern in the design of biometric authentication systems is the protection of the biometric templates. In fact, potential threats to users’ privacy might derive from the abuse of biometric information. These privacy concerns are the subject of current discussions and often prevent the adoption of biometric systems on a large scale. The aim of this paper is to present the latest advances in the area of biometric authentication systems comprising the construction of biometric templates from actual samples. The discussion will cover research results published in the open literature and patents recently filed with inventions related to the field
Proceedings of the IFIP TC 11 23. international information security conference : IFIP 20. world computer congress, IFIP SEC '08 : september 7-10, 2008, Milano, Italy
No full textClustering models in secure clustered multiparty computation
No full textSecure Multiparty Computation (SMC) is well-known to have serious scalability issues. In fact, in spite of many significant achievements reported in SMC literature, SMC protocols are seldom efficiently scalable to real-world applications. In this paper we propose a new scheme, called Secure Clustered Multiparty Computation (SCMC) to improve the efficiency of SMC by reducing the number of participant through clustering. SCMC improves efficiency at the expense of privacy of participants with respect to other members of the same cluster. The paper analyzes different clustering models and presents some protocols suitable for SCMC schemes
A risk model for cloud processes
Full text linkTraditionally, risk assessment consists of evaluating the probability of "feared events", corresponding to known threats and attacks, as well as these events' severity, corresponding to their impact on one or more stakeholders. Assessing risks of cloud-based processes is particularly difficult due to lack of historical data on attacks, which has prevented frequency-based identification of "typical" threats and attack vectors. Also, the dynamic, multi-party nature of cloud-based processes makes severity assessment very dependent on the particular set of stakeholders involved in each process execution. In this paper, we tackle these problems by presenting a novel, process-oriented quantitative risk assessment methodology aimed at disclosure risks on cloud computing platforms. Key advantages of our methodology include (i) a fully quantitative and iterative approach, which enables stakeholders to compare alternative versions of cloud-based processes (e.g., with and without security controls) (ii) non-frequency-based probability estimates, which allow analyzing threats for which a detailed history is not available (iii) support for quick visual comparisons of risk profiles of alternative processes even when impact cannot be exactly quantified
Privacy-Preserving Query Processing by Multi-Party Computation
No full textIn this paper, we investigate privacy-preserving query processing (P3Q) techniques on partitioned databases, where relational queries have to be executed on horizontal data partitions held by different data owners. In our scenario, data owners use Secure Multi-party Computation (SMC) to compute privacy-preserving queries on entire relation(s) without sharing their private partitions. Our solution is applicable to a subset of SQL query language called SQL−− including selection and equi-join queries. To nicely scale up with large size data, we show that computation and communication costs can be reduced via a novel bucketization technique. We consider the classical notion of query privacy, where the querier only learns query results (and what can be inferred from it), and data owners learn as little as possible (in a computational sense) about the query. To ensure such privacy, our technique involves a trusted party only at the beginning of the protocol execution. Experimental results on horizontally partitioned, distributed data show the effectiveness of our approach
- …
