This book constitutes the refereed proceedings of the 6th Australasian Conference on Information Security and Privacy, ACISP 2001, held in Sydney, Australia, in July 2001. The 38 revised full papers presented together with three invited contributions were carefully reviewed and selected from a total of 91 submissions. Among the topics addressed are systems security, network security, trust and access cotrol, authentication, cryptography, cryptanalysis, digital signatures, elliptic curve cryptology, and secret sharing and threshold schemes.
This book deals with Private Information Retrieval (PIR), a technique allowing a user to retrieve an element from a server in possession of a database without revealing to the server which element is retrieved. PIR has been widely applied to protect the privacy of the user in querying a service provider on the Internet. For example, by PIR, one can query a location-based service provider about the nearest car park without revealing his location to the server. The first PIR approach was introduced by Chor, Goldreich, Kushilevitz and Sudan in 1995 in a multi-server setting, where the user retrieves information from multiple database servers, each of which has a copy of the same database. To ensure user privacy in the multi-server setting, the servers must be trusted not to collude. In 1997, Kushilevitz and Ostrovsky constructed the first single-database PIR. Since then, many efficient PIR solutions have been discovered. Beginning with a thorough survey of single-database PIR techniques, this text focuses on the latest technologies and applications in the field of PIR. The main categories are illustrated with recently proposed PIR-based solutions by the authors. Because of the latest treatment of the topic, this text will be highly beneficial to researchers and industry professionals in information security and privacy.
This book is an introduction to holographic interferometry - a field of holography having a great number of important and practically useful ap pl ications. It is intended for special ists working in the field of optics and holography, and also for students of the relevant specialities. At present, a gr eater and greater number of mechanica 1 engi neers, tur bine designers, testers of diverse equipment, biologists, crystallographers, and so on have to do with holographic interferometry. To allow these spe cialists, who are comparatively far from optics, to master the subject too, the main content of the book is preceded by an introductory chapter treating the fundamental concepts of the interference of light, optical interferometry, holography and holographic interferometry. The following chapters deal with the fundamentals of the theory of ho lographic interferometry and of experimental equipment. The authors have set themselves the task of sharing their more than ten year of experience of work in the field of holographic interferometry with their readers. In this connection, the questions which they dealt with directly are con sidered in somewhat greater detail, as a rule, than those with which they have become acquainted only from publications on the subject. A sufficiently detailed (although far from complete) bibliography gives any interested reader an opportunity to improve his knowledge of this field.
This book constitutes the refereed proceedings of the 4th International Conference on Theory and Applications of Models of Computation, TAMC 2007, held in Shanghai, China in May 2007. It addresses all major areas in computer science; mathematics, especially logic; and the physical sciences, particularly with regard to computation and computability theory. The papers particularly focus on algorithms, complexity and computability theory.
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.
Examines the design and use of Intrusion Detection Systems (IDS) to secure Supervisory Control and Data Acquisition (SCADA) systems Cyber-attacks on SCADA systems—the control system architecture that uses computers, networked data communications, and graphical user interfaces for high-level process supervisory management—can lead to costly financial consequences or even result in loss of life. Minimizing potential risks and responding to malicious actions requires innovative approaches for monitoring SCADA systems and protecting them from targeted attacks. SCADA Security: Machine Learning Concepts for Intrusion Detection and Prevention is designed to help security and networking professionals develop and deploy accurate and effective Intrusion Detection Systems (IDS) for SCADA systems that leverage autonomous machine learning. Providing expert insights, practical advice, and up-to-date coverage of developments in SCADA security, this authoritative guide presents a new approach for efficient unsupervised IDS driven by SCADA-specific data. Organized into eight in-depth chapters, the text first discusses how traditional IT attacks can also be possible against SCADA, and describes essential SCADA concepts, systems, architectures, and main components. Following chapters introduce various SCADA security frameworks and approaches, including evaluating security with virtualization-based SCADAVT, using SDAD to extract proximity-based detection, finding a global and efficient anomaly threshold with GATUD, and more. This important book: Provides diverse perspectives on establishing an efficient IDS approach that can be implemented in SCADA systems Describes the relationship between main components and three generations of SCADA systems Explains the classification of a SCADA IDS based on its architecture and implementation Surveys the current literature in the field and suggests possible directions for future research SCADA Security: Machine Learning Concepts for Intrusion Detection and Prevention is a must-read for all SCADA security and networking researchers, engineers, system architects, developers, managers, lecturers, and other SCADA security industry practitioners.
This book seeks to generalize techniques and experiences in designing and analyzing cryptographic schemes for blockchain. It devotes three chapters to review the background and basic knowledge, four chapters to discuss specific types of cryptographic primitive design for blockchain, one chapter to discuss optimization tools and another chapter for blockchain regulation and economies. This book covers the systematic survey of research objects, as well as detailed reviews of cryptographic schemes, lectures and methodologies to practice cryptography. The main findings of this book are summarized as following, first, the practical design and analysis of cryptographic schemes for blockchain can address major problems in blockchain at algorithmic level. Then, some intrinsic deficiencies in some traditional cryptographic primitives, like centralized setup, impractical design, etc, prevent the successful application of these primitives in blockchain. However, huge efforts are being made to make these primitives practical and applicable for researchers. Finally, the formal and rigorous design and analysis of public key cryptographic algorithms is vital to blockchain. Design and Analysis of Cryptographic Algorithms in Blockchain is a useful textbook for graduate students and PhD students, or researches who wish to connect cryptography with blockchain for research and developing projects.
This monograph summarizes major achievements in laser dynamics over the past three decades. The book begins with two introductory Chapters. Chapter 1 offers general considerations on quantum oscillators, formulates the requirements for the laser key elements and shows how these requirements are met in different laser systems. The second Chapter proposes the mathematical models used in semiclassical laser theory, discusses the approximations and simplifications in particular cases, and specifies the range of applicability of these models. In Chapters 3-5 attention is given primarily to the steady states and their stability, the laser behavior in the instability domain, the characteristics of regular and chaotic pulsations and the nature of their mechanisms. Chapter 6 deals with the processes in a laser, accompanying the time variance of laser parameters. Considerable attention is given to a laser response to weak, low-frequency modulation of the parameters. The problems addressed therein are resonant modulation enhancement, transition to the nonlinear regime, chaotic response to periodic impact, spike-like generation due to variation of the cavity geometry and a laser rod temperature drift. Laser behavior is subject to qualitative changes if its optical elements exhibit nonlinear properties. The action of a saturable absorber, which leads to a loss of laser stability and provides passive Q-modulation, is investigated. To a much lesser degree the researchers' attention has been attracted by other nonlinear effects such as self-focusing, e.g., which may have a strong influence on laser dynamics. All of these issues are covered in Chapter 7. The book is intended for researchers, engineers, graduate and post-graduate students majoring in quantum electronics.
Connecting theory with practice, this systematic and rigorous introduction covers the fundamental principles, algorithms and applications of key mathematical models for high-dimensional data analysis. Comprehensive in its approach, it provides unified coverage of many different low-dimensional models and analytical techniques, including sparse and low-rank models, and both convex and non-convex formulations. Readers will learn how to develop efficient and scalable algorithms for solving real-world problems, supported by numerous examples and exercises throughout, and how to use the computational tools learnt in several application contexts. Applications presented include scientific imaging, communication, face recognition, 3D vision, and deep networks for classification. With code available online, this is an ideal textbook for senior and graduate students in computer science, data science, and electrical engineering, as well as for those taking courses on sparsity, low-dimensional structures, and high-dimensional data. Foreword by Emmanuel Candès.
Some seventy-five years after the boundaries of the British Mandate for Palestine were set, the State of Israel still lacks a defined territory and agreed-upon boundaries, except for its boundary with Egypt. This book examines this unusual situation, concentrating especially on the perceptions of territory and boundaries within the Zionist movement. Galnoor discusses the period from the first territorial decision in 1919 up to the establishment of the State of Israel in 1948, placing special emphasis on the relatively unknown Zionist, Palestinian, and Arab positions regarding territorial partition in 1937. And he argues that although dramatic changes have occurred in the international and regional arena, the partners to the conflict, the security considerations, and the international dilemmas, the 1937 decision contained the parameters of the choices that have confronted Arab and Israeli leaders ever since. His findings are of direct relevance to the ongoing Arab-Israeli peace negotiations, which once again revolve around the trade-off between national goals and territorial aspirations.
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