Objective information theory
Objective Information Theory (OIT) is proposed to represent and compute the information in a large-scale complex information system with big data in this monograph. To formally analyze, design, develop, and evaluate the information, OIT interprets the information from essential nature, measures the information from mathematical properties, and models the information from concept, logic, and physic. As the exemplified applications, Air Traffic Control System (ATCS) and Smart Court SoSs (System of Systems) are introduced for practical OITs.
Network Security, Firewalls, and VPNs ; 3rd ed.
Provides a unique, in-depth look at the major business challenges and threats that are introduced when an organization’s network is connected to the public Internet. Written by industry experts, this book provides a comprehensive explanation of network security basics, including how hackers access online networks and the use of Firewalls and VPNs to provide security countermeasures. Using examples and exercises, this book incorporates hands-on activities to prepare the reader to disarm threats and prepare for emerging technologies and future attacks.
Modelling and Reasoning with Vague Concepts
This volume outlines a formal representation framework for modelling and reasoning with vague concepts in Artificial Intelligence. The new calculus has many applications, especially in automated reasoning, learning, data analysis and information fusion. This book gives a rigorous introduction to label semantics theory, illustrated with many examples, and suggests clear operational interpretations of the proposed measures. It also provides a detailed description of how the theory can be applied in data analysis and information fusion based on a range of benchmark problems.
Modeling decisions : Information fusion and aggregation operators
This book covers the underlying science and application issues related to aggregation operators, focusing on tools used in practical applications that involve numerical information. Starting with detailed introductions to information fusion and integration, measurement and probability theory, fuzzy sets, and functional equations.
Measure, Integration & Real Analysis
This book welcomes students into the fundamental theory of measure, integration, and real analysis. Focusing on an accessible approach, Axler lays the foundations for further study by promoting a deep understanding of key results.
Introduction to Machine Learning with Applications in Information Security
Provides a classroom-tested introduction to a wide variety of machine learning and deep learning algorithms and techniques, reinforced via realistic applications. The book is accessible and doesn't prove theorems, or dwell on mathematical theory. The goal is to present topics at an intuitive level, with just enough detail to clarify the underlying concepts. The book covers core classic machine learning topics in depth, including Hidden Markov Models (HMM), Support Vector Machines (SVM), and clustering. Additional machine learning topics include k-Nearest Neighbor (k-NN), boosting, Random Forests, and Linear Discriminant Analysis (LDA). The fundamental deep learning topics of backpropagation, Convolutional Neural Networks (CNN), Multilayer Perceptrons (MLP), and Recurrent Neural Networks (RNN) are covered in depth. A broad range of advanced deep learning architectures are also presented, including Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN), Extreme Learning Machines (ELM), Residual Networks (ResNet), Deep Belief Networks (DBN), Bidirectional Encoder Representations from Transformers (BERT), and Word2Vec.
Intelligent Network Management and Control : Intelligent Security, Multi-criteria Optimization, Cloud Computing, Internet of Vehicles, Intelligent Radio
The management and control of networks can no longer be envisaged without the introduction of artificial intelligence at all stages. Deals with topical issues related mainly to intelligent security of computer networks, deployment of security services in SDN (software-defined networking), optimization of networks using artificial intelligence techniques and multi-criteria optimization methods for selecting networks in a heterogeneous environment. Focuses on selecting cloud computing services, intelligent unloading of calculations in the context of mobile cloud computing, intelligent resource management in a smart grid-cloud system for better energy efficiency, new architectures for the Internet of Vehicles (IoV), the application of artificial intelligence in cognitive radio networks and intelligent radio input to meet the on-road communication needs of autonomous vehicles.
Human-Computer Interaction and Cybersecurity Handbook - Human Factors and Ergonomics
Covers all areas of human–computer interaction and human factors in cybersecurity Includes information for IT specialists, who often desire more knowledge about the human side of cybersecurity Provides a reference for other disciplines such as psychology, behavioral science, software engineering, and security management Offers a source of information for cybersecurity practitioners in government agencies and private enterprises Presents new areas such as smart networking and devices
Hardening Windows
Hardening is the process of protecting a system against unknown threats. System administrators harden against that which they think could be a threat. Administrators know the Internet is a hostile environment. Although they can't tell, for example, that a hacker will attempt to gain access to the SQL server next Tuesday, they can bet money there'll be an attempt soon and should "batten down the hatches" in anticipation. Hardening Windows, Second Edition is the definitive "counterintelligence" guide to performing preventative security measures for the Windows operating system. This second edition covers the release of Windows XP Service Pack 2 and its new security features, including the Windows Firewall and the Security Center. It also covers Windows Server 2003 Service Pack 1, Windows Server R2's new Security Configuration Wizard, Windows NT, Windows 2000, branch-office security features, and new setup options.
General Theory of Information Transfer and Combinatorics
This book constitutes the thoroughly refereed research papers contributed to a research project on the `General Theory of Information Transfer and Combinatorics' that was hosted from 2001-2004 at the Center for Interdisciplinary Research (ZIF) of Bielefeld University and also papers of several incorporated meetings thereof. The 63 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on probabilistic models, cryptology, pseudo random sequences, quantum models, statistics, probability theory, information measures, error concepts, performance criteria, search, sorting, ordering, planning, language evolution, pattern discovery, reconstructions, network coding, combinatorial models, and a problem section.
Fundamentals of information systems security ; 3rd ed.
Provides a comprehensive overview of the essential concepts readers must know as they pursue careers in information systems security. The text opens with a discussion of the new risks, threats, and vulnerabilities associated with the transition to a digital world. Part 2 presents a high level overview of the Security+ Exam and provides students with information as they move toward this certification. The book closes with information on information security standards, education, professional certifications, and compliance laws. With its practical, conversational writing style and step-by-step examples, this text is a must-have resource for those entering the world of information systems security.
Fundamentals of information systems security ; 4th ed.
Provides a comprehensive overview of the concepts readers must know as they pursue careers in information systems security. The text opens with a discussion of emerging technologies and the risks, threats, and vulnerabilities associated with our digital world. Part II takes a deeper dive into the foundational knowledge areas and functions associated with a career in information security. The book closes with a survey of information security standards, professional certifications, and compliance laws. With its practical, conversational writing style and step-by-step examples, this text is a must-have resource for those entering the world of information systems security.
Forecasting and Assessing Risk of Individual Electricity Peaks
The overarching aim of this open access book is to present self-contained theory and algorithms for investigation and prediction of electric demand peaks. A cross-section of popular demand forecasting algorithms from statistics, machine learning and mathematics is presented, followed by extreme value theory techniques with examples.
Focused Access to XML Documents ; 6th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2007 Dagstuhl Castle, Germany, December 17-19, 2007. Selected Papers
This book constitutes the thoroughly refereed post-conference proceedings of the 6th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2007, held at Dagstuhl Castle, Germany, in December 2007.The 37 revised full papers presented were carefully reviewed and selected for presentation at the workshop from 50 initial submissions. The papers are organized in an ad hoc track and 6 topical sections on book search, XML-mining, entity ranking, interactive, link-the-wiki, and multimedia.
Financial cryptography and data security ; 12th International Conference, FC 2008, Cozumel, Mexico, January 28-31, 2008. Revised Selected Papers
This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Conference on Financial Cryptography and Data Security, FC 2008, held in Cozumel, Mexico, in January 2008.The 16 revised full papers and 9 revised short papers presented together with 5 poster papers, 2 panel reports, and 1 invited lecture were carefully reviewed and selected from 86 submissions. The papers are organized in topical sections on attacks and counter measures, protocols, theory, hardware, chips and tags, signatures and encryption, as well as anonymity and e-cash.
Fault Diagnosis and Tolerance in Cryptography ; 3rd International Workshop, FDTC 2006, Yokohama, Japan, October 10, 2006, Proceedings
The sophistication of the underlying cryptographic algorithms, the high complexity of the implementations, and the easy access and low cost of cryptographic devices resulted in increased concerns regarding the reliability and security of crypto-devices. The effectiveness of side channel attacks on cryptographic devices, like timing and power-based attacks, has been known for some time. Several recent investigations have demonstrated the need to develop methodologies and techniques for designing robust cryptographic systems (both hardware and software) to protect them against both accidental faults and maliciously injected faults with the purpose of extracting the secret key. This trend has been particularly motivated by the fact that the equipment needed to carry out a successful side channel attack based on fault injection is easily accessible at a relatively low cost (for example, laser beam technology), and that the skills needed to use it are quite common.
Ergodic Dynamics : From Basic Theory to Applications
This textbook provides a broad introduction to the fields of dynamical systems and ergodic theory. Motivated by examples throughout, the author offers readers an approachable entry-point to the dynamics of ergodic systems. Modern and classical applications complement the theory on topics ranging from financial fraud to virus dynamics, offering numerous avenues for further inquiry. Starting with several simple examples of dynamical systems, the book begins by establishing the basics of measurable dynamical systems, attractors, and the ergodic theorems. From here, chapters are modular and can be selected according to interest. Highlights include the Perron–Frobenius theorem, which is presented with proof and applications that include Google PageRank. An in-depth exploration of invariant measures includes ratio sets and type III measurable dynamical systems using the von Neumann factor classification. Topological and measure theoretic entropy are illustrated and compared in detail, with an algorithmic application of entropy used to study the papillomavirus genome. A chapter on complex dynamics introduces Julia sets and proves their ergodicity for certain maps. Cellular automata are explored as a series of case studies in one and two dimensions, including Conway’s Game of Life and latent infections of HIV. Other chapters discuss mixing properties, shift spaces, and toral automorphisms.
Electronic Postage Systems : Technology, Security, Economics
This book introduces a taxonomy of electronic postage systems and explains their security risks and countermeasures. The underlying cryptographic mechanisms are introduced and explained, and the industrial-scale electronic postage systems existing worldwide, are sorted out with respect to this taxonomy. The author also discusses privacy and anonymous mail, the state of standardization of electronic postage, and the process of security evaluation and testing of electronic postage systems. This volume including electronic postage designers of postal operators and standardization bodies, software and test engineers, software vendors integrating electronic postage solutions into their applications, security engineers and cryptography experts, and accredited test laboratories evaluating electronic postage systems.
E-health records
Each patient can view his health history electronically, decision makers can view the history of any patient and the treatment methods he underwent during his life and take the necessary measures to reach the patient to optimal health, and the Ministry of Health can obtain medical reports that enable it to take the necessary decisions.
Deep learning approaches to cloud security
Covering one of the most important subjects to our society today, cloud security, this editorial team delves into solutions taken from evolving deep learning approaches, solutions allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined through its relation to simpler concepts.



















