The Science of Quantitative Information Flow

The Science of Quantitative Information Flow PDF Author: Mário S. Alvim
Publisher: Springer Nature
ISBN: 3319961314
Category : Computers
Languages : en
Pages : 478

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Book Description
This book presents a comprehensive mathematical theory that explains precisely what information flow is, how it can be assessed quantitatively – so bringing precise meaning to the intuition that certain information leaks are small enough to be tolerated – and how systems can be constructed that achieve rigorous, quantitative information-flow guarantees in those terms. It addresses the fundamental challenge that functional and practical requirements frequently conflict with the goal of preserving confidentiality, making perfect security unattainable. Topics include: a systematic presentation of how unwanted information flow, i.e., "leaks", can be quantified in operationally significant ways and then bounded, both with respect to estimated benefit for an attacking adversary and by comparisons between alternative implementations; a detailed study of capacity, refinement, and Dalenius leakage, supporting robust leakage assessments; a unification of information-theoretic channels and information-leaking sequential programs within the same framework; and a collection of case studies, showing how the theory can be applied to interesting realistic scenarios. The text is unified, self-contained and comprehensive, accessible to students and researchers with some knowledge of discrete probability and undergraduate mathematics, and contains exercises to facilitate its use as a course textbook.

The Science of Quantitative Information Flow

The Science of Quantitative Information Flow PDF Author: Mário S. Alvim
Publisher: Springer Nature
ISBN: 3319961314
Category : Computers
Languages : en
Pages : 478

Get Book Here

Book Description
This book presents a comprehensive mathematical theory that explains precisely what information flow is, how it can be assessed quantitatively – so bringing precise meaning to the intuition that certain information leaks are small enough to be tolerated – and how systems can be constructed that achieve rigorous, quantitative information-flow guarantees in those terms. It addresses the fundamental challenge that functional and practical requirements frequently conflict with the goal of preserving confidentiality, making perfect security unattainable. Topics include: a systematic presentation of how unwanted information flow, i.e., "leaks", can be quantified in operationally significant ways and then bounded, both with respect to estimated benefit for an attacking adversary and by comparisons between alternative implementations; a detailed study of capacity, refinement, and Dalenius leakage, supporting robust leakage assessments; a unification of information-theoretic channels and information-leaking sequential programs within the same framework; and a collection of case studies, showing how the theory can be applied to interesting realistic scenarios. The text is unified, self-contained and comprehensive, accessible to students and researchers with some knowledge of discrete probability and undergraduate mathematics, and contains exercises to facilitate its use as a course textbook.

Foundations of Software Science and Computational Structures

Foundations of Software Science and Computational Structures PDF Author: Luca De Alfaro
Publisher: Springer Science & Business Media
ISBN: 3642005950
Category : Computers
Languages : en
Pages : 484

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Book Description
This book constitutes the refereed proceedings of the 12th International Conference on Foundations of Software Science and Computational Structures, FOSSACS 2009, held in York, UK, in March 2009, as part of ETAPS 2009, the European Joint Conferences on Theory and Practice of Software. The 30 revised full papers presented together with two invited talks were carefully reviewed and selected from 102 full paper submissions. The topics addressed are semantics, logics and automata, algebras, automata theory, processes and models, security, probabilistic and quantitative models, synthesis, and program analysis and semantics.

The Phenomenon of Information

The Phenomenon of Information PDF Author: Mario Pérez-Montoro
Publisher: Scarecrow Press
ISBN: 1461673380
Category : Education
Languages : en
Pages : 299

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Book Description
We are surrounded by information. Even the most routine situations in which we find ourselves conceal a hidden information flow. Every step we take, a host of signals meet us, providing information about what is happening in other parts of reality. The cherry tree in bloom reveals that spring has arrived. The footprint left on wet sand indicates that someone has walked along the beach. A red traffic light signals that we must bring our car to a halt. In The Phenomenon of Information, author Mario Pérez-Montoro addresses the problems of providing a theoretical explanation of how a signal carries informational content, how to identify its characteristics, and how to define the mechanisms for describing it. To do this, Pérez-Montoro examines several theoretical approaches to the phenomenon of information: the mathematical theory of communication, Dretske's approach, and the relational theory of meaning. A critique of these efforts leads to the author's definition of informational content, named "the extensional approach," which is designed to overcome the conceptual limitations of the previous theories. The author proposes that his definition might serve as a basis on which a satisfactory analysis of the concept of information can be developed.

Principles of Verification: Cycling the Probabilistic Landscape

Principles of Verification: Cycling the Probabilistic Landscape PDF Author: Nils Jansen
Publisher: Springer Nature
ISBN: 3031757831
Category :
Languages : en
Pages : 462

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Book Description


Frontiers of Digital Transformation

Frontiers of Digital Transformation PDF Author: Kazuya Takeda
Publisher: Springer Nature
ISBN: 9811513589
Category : Computers
Languages : en
Pages : 239

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Book Description
Proposing the concept of real-world data circulation (RWDC), this book presents various practical and industry-related studies in human, mechanical, and social data domains. RWDC is a new field of study, established by the information technology (IT) community. In the real world, the speed of data transmission between computers surpassed that of human communications long ago and has since expanded exponentially. As a result, the origin of the majority of data has become non-human, mechanical, or natural sources; in fact, humans are merely the source of a small part of the current data explosion. Such expanding data transmission does not simply consist of single source–destination pairs, but actually circulates over a complex network connecting numerous sources and destinations. Such circulation is an important aspect of the underlying systems. Based on this concept, in order to tame and control the massive amount of data originating from non-human sources, the authors have been considering the insertion of acquisition, analysis, and implementation processes in the flow of data circulation. This book introduces the outcome of the RWDC degree program organized at Nagoya University, Japan, collecting contributions from graduate students enrolled in the program from various research fields targeting diverse applications. Through examples of RWDC, the resulting creation of social value is illustrated. This book will be useful not only for those working on the topics discussed, but also to anyone who is interested in RWDC, digital transformation, and Industry 4.0.

Quantitative Methods in Reservoir Engineering

Quantitative Methods in Reservoir Engineering PDF Author: Wilson C Chin
Publisher: Gulf Professional Publishing
ISBN: 012811097X
Category : Technology & Engineering
Languages : en
Pages : 708

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Book Description
Quantitative Methods in Reservoir Engineering, Second Edition, brings together the critical aspects of the industry to create more accurate models and better financial forecasts for oil and gas assets. Updated to cover more practical applications related to intelligent infill drilling, optimized well pattern arrangement, water flooding with modern wells, and multiphase flow, this new edition helps reservoir engineers better lay the mathematical foundations for analytical or semi-analytical methods in today's more difficult reservoir engineering applications. Authored by a worldwide expert on computational flow modeling, this reference integrates current mathematical methods to aid in understanding more complex well systems and ultimately guides the engineer to choose the most profitable well path. The book delivers a valuable tool that will keep reservoir engineers up-to-speed in this fast-paced sector of the oil and gas market. - Stay competitive with new content on unconventional reservoir simulation - Get updated with new material on formation testing and flow simulation for complex well systems and paths - Apply methods derived from real-world case studies and calculation examples

Principles of Security and Trust

Principles of Security and Trust PDF Author: Martín Abadi
Publisher: Springer
ISBN: 3642547923
Category : Computers
Languages : en
Pages : 322

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Book Description
This book constitutes the refereed proceedings of the Third International Conference on Principles of Security and Trust, POST 2014, held as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2014, Grenoble, France, in April 2014. The 15 papers presented in this volume were carefully reviewed and selected from 55 submissions. They are organized in topical sections named: analysis of cryptographic protocols; quantitative aspects of information flow; information flow control in programming languages; cryptography in implementations and policies and attacks.

Secure Data Science

Secure Data Science PDF Author: Bhavani Thuraisingham
Publisher: CRC Press
ISBN: 1000557510
Category : Computers
Languages : en
Pages : 433

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Book Description
Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and data science. This is because the novel data science techniques being developed have applications in solving such cyber security problems as intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security but also for every application area—including healthcare, finance, manufacturing, and marketing—could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data, which could result in the violation of individual privacy. This is the first such book that provides a comprehensive overview of integrating both cyber security and data science and discusses both theory and practice in secure data science. After an overview of security and privacy for big data services as well as cloud computing, this book describes applications of data science for cyber security applications. It also discusses such applications of data science as malware analysis and insider threat detection. Then this book addresses trends in adversarial machine learning and provides solutions to the attacks on the data science techniques. In particular, it discusses some emerging trends in carrying out trustworthy analytics so that the analytics techniques can be secured against malicious attacks. Then it focuses on the privacy threats due to the collection of massive amounts of data and potential solutions. Following a discussion on the integration of services computing, including cloud-based services for secure data science, it looks at applications of secure data science to information sharing and social media. This book is a useful resource for researchers, software developers, educators, and managers who want to understand both the high level concepts and the technical details on the design and implementation of secure data science-based systems. It can also be used as a reference book for a graduate course in secure data science. Furthermore, this book provides numerous references that would be helpful for the reader to get more details about secure data science.

Trustworthy Global Computing

Trustworthy Global Computing PDF Author: Gilles Barthe
Publisher: Springer Science & Business Media
ISBN: 3540786627
Category : Computers
Languages : en
Pages : 411

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Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the Third Symposium on Trustworthy Global Computing, TGC 2007; it moreover contains tutorials from the adjacent Workshop on the Interplay of Programming Languages and Cryptography, both held in Sophia-Antipolis, France, in November 2007. The 19 revised papers presented together with 3 invited papers were carefully selected from 48 submissions during two rounds of reviewing and improvement. The TGC 2007 symposium papers focus on providing tools and frameworks for constructing well-behaved applications and for reasoning about their behavior and properties in models of computation that incorporate code and data mobility over distributed networks with highly dynamic topologies and heterogeneous devices. The volume concludes with 3 tutorial papers, presented at the co-located Workshop on the Interplay of Programming Languages and Cryptography.

Data Science

Data Science PDF Author: Yang Wang
Publisher: Springer Nature
ISBN: 9811951942
Category : Computers
Languages : en
Pages : 455

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Book Description
This two volume set (CCIS 1628 and 1629) constitutes the refereed proceedings of the 8th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2022 held in Chengdu, China, in August, 2022. The 65 full papers and 26 short papers presented in these two volumes were carefully reviewed and selected from 261 submissions. The papers are organized in topical sections on: Big Data Mining and Knowledge Management; Machine Learning for Data Science; Multimedia Data Management and Analysis.