Research Directions in Data and Applications Security XVIII presents original unpublished research results, practical experiences, and innovative ideas in the field of data and applications security and privacy. Topics presented in this volume include:
-Data protection techniques;
-Access control models;
-Design and management;
This book is the eighteenth volume in the series produced by the International Federation for Information Processing (IFIP) Working Group 11.3 on Data and Applications Security. It contains twenty-three papers and two invited talks that were presented at the Eighteenth Annual IFIP WG 11.3 Conference on Data and Applications Security, which was sponsored by IFIP and held in Sitges, Catalonia, Spain in July 2004.
Research Directions in Data and Applications Security XVIII is a high-quality reference volume that addresses several aspects of information protection, and is aimed at researchers, educators, students, and developers.
This state-of-the-art survey provides a solid ground for researchers approaching this topic to understand current achievements through a common categorization of privacy threats and defense techniques. This objective is particularly challenging considering the specific (and often implicit) assumptions that characterize the recent literature on privacy in location-based services.
The book also illustrates the many facets that make the study of this topic a particularly interesting research subject, including topics that go beyond privacy preserving transformations of service requests, and include access control, privacy preserving publishing of moving object data, privacy in the use of specific positioning technology, and privacy in vehicular network applications.
This book constitutes the refereed proceedings of the 12th International Workshop on Security and Trust Management, STM 2016, held in Heraklion, Crete, Greece, in September 2016, in conjunction with the 21st European Symposium Research in Computer Security, ESORICS 2016.
The 13 full papers together with 2 short papers were carefully reviewed and selected from 34 submissions. the focus on the workshop was on following topics: access control, data protection, mobile security, privacy, security and trust policies, trust models.
Security and Privacy in the Age of Uncertainty covers issues related to security and privacy of information in a wide range of applications including:
*Secure Networks and Distributed Systems;
*Secure Multicast Communication and Secure Mobile Networks;
*Intrusion Prevention and Detection;
*Access Control Policies and Models;
*Security and Control of IT in Society.
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.
Security of Data and Transaction Processing serves as an excellent reference, providing insight into some of the most challenging research issues in the field.
The 29 revised full papers and 9 revised short papers presented were carefully reviewed and selected from 105 submissions. The papers are organized in topical sections on analysis techniques, hash functions, database security and biometrics, algebraic attacks and proxy re-encryption, distributed system security, identity management and authentication, applied cryptography, access control, MAC and nonces, and P2P and Web services.
Cybercrime is the fastest growing area of crime as more criminals seek to exploit the speed, convenience and anonymity that the Internet provides to commit a diverse range of criminal activities. Today's online crime includes attacks against computer data and systems, identity theft, distribution of child pornography, penetration of online financial services, using social networks to commit crimes, and the deployment of viruses, botnets, and email scams such as phishing. Symantec's 2012 Norton Cybercrime Report stated that the world spent an estimated $110 billion to combat cybercrime, an average of nearly $200 per victim.
Law enforcement agencies and corporate security officers around the world with the responsibility for enforcing, investigating and prosecuting cybercrime are overwhelmed, not only by the sheer number of crimes being committed but by a lack of adequate training material. This book provides that fundamental knowledge, including how to properly collect and document online evidence, trace IP addresses, and work undercover.Provides step-by-step instructions on how to investigate crimes onlineCovers how new software tools can assist in online investigationsDiscusses how to track down, interpret, and understand online electronic evidence to benefit investigationsDetails guidelines for collecting and documenting online evidence that can be presented in court
While you can interface with Google in 97 languages and glean results in 35, you can't find any kind of instruction manual from Google. Lucky for you, our fully updated and greatly expanded second edition to the bestselling Google: The Missing Manual covers everything you could possibly want to know about Google, including the newest and coolest--and often most underused (what is Froogle, anyway?)--features. There's even a full chapter devoted to Gmail, Google's free email service that includes a whopping 2.5 GB of space).
This wise and witty guide delivers the complete scoop on Google, from how it works to how you can search far more effectively and efficiently (no more scrolling through 168 pages of seemingly irrelevant results); take best advantage of Google's lesser-known features, such as Google Print, Google Desktop, and Google Suggest; get your website listed on Google; track your visitors with Google Analytics; make money with AdWords and AdSense; and much more.
Whether you're new to Google or already a many-times-a-day user, you're sure to find tutorials, tips, tricks, and tools that take you well beyond simple search to Google gurudom.
If you’re looking for more leads, sales, and profit from your website, then look no further than this expert guide to Google’s free A/B and multivariate website testing tool, Google Website Optimizer. Recognized online marketing guru and New York Times bestselling author, Bryan Eisenberg, and his chief scientist, John Quarto-vonTivadar, show you how to test and tune your site to get more visitors to contact you, buy from you, subscribe to your services, or take profitable actions on your site. This practical and easy-to-follow reference will help you:Develop a testing framework to meet your goals and objectives Improve your website and move more of your customers to action Select and categorize your products and services with a customer-centric view Optimize your landing pages and create copy that sells Choose the best test for a given application Reap the fullest benefits from your testing experience Increase conversions with over 250 testing ideas
Take the guesswork out of your online marketing efforts. Let Always Be Testing: The Complete Guide to Google Website Optimizer show you why you should test, how to test, and what to test on your site, and ultimately, help you discover what is best for your site and your bottom line.
Peter Christen’s book is divided into three parts: Part I, “Overview”, introduces the subject by presenting several sample applications and their special challenges, as well as a general overview of a generic data matching process. Part II, “Steps of the Data Matching Process”, then details its main steps like pre-processing, indexing, field and record comparison, classification, and quality evaluation. Lastly, part III, “Further Topics”, deals with specific aspects like privacy, real-time matching, or matching unstructured data. Finally, it briefly describes the main features of many research and open source systems available today.By providing the reader with a broad range of data matching concepts and techniques and touching on all aspects of the data matching process, this book helps researchers as well as students specializing in data quality or data matching aspects to familiarize themselves with recent research advances and to identify open research challenges in the area of data matching. To this end, each chapter of the book includes a final section that provides pointers to further background and research material. Practitioners will better understand the current state of the art in data matching as well as the internal workings and limitations of current systems. Especially, they will learn that it is often not feasible to simply implement an existing off-the-shelf data matching system without substantial adaption and customization. Such practical considerations are discussed for each of the major steps in the data matching process.
This book is targeted at all aspiring administrators, architects, or students who want to build cloud environments using Openstack. Knowledge of IaaS or cloud computing is recommended.What You Will LearnGet an introduction to OpenStack and its componentsAuthenticate and authorize the cloud environment using KeystoneStore and retrieve data and images using storage components such as Cinder, Swift, and GlanceUse Nova to build a Cloud Computing fabric controllerAbstract technology-agnostic networks using the Neutron network componentGain an understanding of optional components such as Ceilometer, Trove, Ironic, Sahara, Barbican, Zaqar, Designate, Manila, and many moreSee how all of the OpenStack components collaborate to provide IaaS to usersCreate a production-grade OpenStack and automate your OpenStack CloudIn Detail
OpenStack is a free and open source cloud computing platform that is rapidly gaining popularity in Enterprise data centres. It is a scalable operating system and is used to build private and public clouds. It is imperative for all the aspiring cloud administrators to possess OpenStack skills if they want to succeed in the cloud-led IT infrastructure space.
This book will help you gain a clearer understanding of OpenStack's components and their interaction with each other to build a cloud environment. You will learn to deploy a self-service based cloud using just four virtual machines and standard networking.
You begin with an introduction on the basics of cloud computing. This is followed by a brief look into the need for authentication and authorization, the different aspects of dashboards, cloud computing fabric controllers, along with “Networking as a Service” and “Software Defined Networking.” Then, you will focus on installing, configuring, and troubleshooting different architectures such as Keystone, Horizon, Nova, Neutron, Cinder, Swift, and Glance. Furthermore, you will see how all of the OpenStack components come together in providing IaaS to users. Finally, you will take your OpenStack cloud to the next level by integrating it with other IT ecosystem elements before automation.
By the end of this book, you will be proficient with the fundamentals and application of OpenStack.Style and approach
This is a practical step-by-step guide comprising of installation prerequisites and basic troubleshooting instructions to help you build an error-free OpenStack cloud easily.
This third edition of the successful Analysis and Design of Information Systems provides a comprehensive introduction and user-friendly survey to all aspects of business transformation and analysis, and aims to provide the complex set of tools covering all types of systems, including legacy, transactional, database, and web/e-commerce topics. Focusing on the applied aspects of analysis to create systems that meet the needs of their users, (consumers and businesses), this revised text aims to enhance the set of techniques and tools that the analyst/designer requires for success and to organizations to implement business transformation of operations.
Topics and features:
• Additional chapters on Web interface tools, security and change control, and data warehouse system design
• Developments on new designs and technologies, particularly in the area of web analysis and design; a revised Web/Commerce chapter addresses component middleware for complex systems design
• New case studies and more examples, providing readers with a deeper understanding of practicalities
• Presents modelling tools within a SDLC framework, thereby providing readers with a step-by-step understanding of when and how to use them
• More coverage on converting logical models to physical models, how to generate DDL, and testing database functionalities
• Expanded scope of analysis and design to include more specific conventions, such as logical to physical design steps, XML, data values, and denormalization
Based on feedback the author received from instructors and practitioners in industry, this enhanced text/reference presents a set of good practices that allow readers to adjust to the constraints and needs of any business. It is a valuable resource and guide for all information systems students, as well as practitioners and professionals who need an in-depth understanding of the principles of the analysis and design process.
Dr. Arthur M. Langer is the senior director of the Center for Technology, Innovation, and Community Engagement at Columbia University’s Fu Foundation School of Engineering and Applied Science. He is on the faculty in the Department of Organization and Leadership at the Graduate School of Education (Teachers College), and associate director of instruction and curricular development for programs in information technology in the School of Continuing Education.
Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented. The second part covers the key topics of Web mining, where Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and sentiment analysis, Web usage mining, query log mining, computational advertising, and recommender systems are all treated both in breadth and in depth. His book thus brings all the related concepts and algorithms together to form an authoritative and coherent text.
The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining and data mining both as a learning text and as a reference book. Professors can readily use it for classes on data mining, Web mining, and text mining. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.
This comprehensive Guide to Web Development with Java introduces readers to the three-tiered, Model-View-Controller architecture by using Hibernate, JSPs, and Java Servlets. These three technologies all use Java, so that a student with a background in programming will be able to master them with ease, with the end result of being able to create web applications that use MVC, validate user input and save data to a database.
Topics and features: presents the many topics of web development in small steps, in an accessible, easy-to-follow style - focusing on the most important information first, and allowing the reader to gain basic understanding before moving forwards; uses existing powerful technologies that are freely available on the web to speed up web development, such as JSP, JavaBeans, annotations, JSTL, Java 1.5, Hibernate and Tomcat; discusses HTML, HTML Forms, Cascading Style Sheets and XML; starts with the simplest technology for web development (JSP) and gradually introduces the reader to more complex topics; introduces core technologies from the outset, such as the Model-View-Controller architecture; contains many helpful pedagogical tools for students and lecturers such as questions and exercises at the end of each chapter, detailed illustrations, chapter summaries, and a glossary; includes examples for accessing common web services; provides supplementary examples and tutorials at http://www.bytesizebook.com/.
Written for novice developers with a solid background in programming, but who do not have any database training, this thorough, easy-to-use textbook/guide provides an exemplary introductory course in web development for undergraduates, as well as web developers. With its straightforward and systematic style this text is also ideal for self-study.
A Developer’s Guide to the Semantic Web helps the reader to learn the core standards, key components and underlying concepts. It provides in-depth coverage of both the what-is and how-to aspects of the Semantic Web. From Yu’s presentation, the reader will obtain not only a solid understanding about the Semantic Web, but also learn how to combine all the pieces to build new applications on the Semantic Web.
The second edition of this book not only adds detailed coverage of the latest W3C standards such as SPARQL 1.1 and RDB2RDF, it also updates the readers by following recent developments. More specifically, it includes five new chapters on schema.org and semantic markup, on Semantic Web technologies used in social networks and on new applications and projects such as data.gov and Wikidata and it also provides a complete coding example of building a search engine that supports Rich Snippets.
Software developers in industry and students specializing in Web development or Semantic Web technologies will find in this book the most complete guide to this exciting field available today. Based on the step-by-step presentation of real-world projects, where the technologies and standards are applied, they will acquire the knowledge needed to design and implement state-of-the-art applications.
The first part provides an introduction to basic procedures for handling and operating with text strings. Then, it reviews major mathematical modeling approaches. Statistical and geometrical models are also described along with main dimensionality reduction methods. Finally, it presents some specific applications such as document clustering, classification, search and terminology extraction.
All descriptions presented are supported with practical examples that are fully reproducible. Further reading, as well as additional exercises and projects, are proposed at the end of each chapter for those readers interested in conducting further experimentation.
ONDUX (On Demand Unsupervised Information Extraction) is an unsupervised probabilistic approach for IETS that relies on content-based features to bootstrap the learning of structure-based features. JUDIE (Joint Unsupervised Structure Discovery and Information Extraction) aims at automatically extracting several semi-structured data records in the form of continuous text and having no explicit delimiters between them. In comparison with other IETS methods, including ONDUX, JUDIE faces a task considerably harder that is, extracting information while simultaneously uncovering the underlying structure of the implicit records containing it. iForm applies the authors’ approach to the task of Web form filling. It aims at extracting segments from a data-rich text given as input and associating these segments with fields from a target Web form.
All of these methods were evaluated considering different experimental datasets, which are used to perform a large set of experiments in order to validate the presented approach and methods. These experiments indicate that the proposed approach yields high quality results when compared to state-of-the-art approaches and that it is able to properly support IETS methods in a number of real applications. The findings will prove valuable to practitioners in helping them to understand the current state-of-the-art in unsupervised information extraction techniques, as well as to graduate and undergraduate students of web data management.
Wil van der Aalst delivers the first book on process mining. It aims to be self-contained while covering the entire process mining spectrum from process discovery to operational support. In Part I, the author provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Part II focuses on process discovery as the most important process mining task. Part III moves beyond discovering the control flow of processes and highlights conformance checking, and organizational and time perspectives. Part IV guides the reader in successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM. Finally, Part V takes a step back, reflecting on the material presented and the key open challenges.Overall, this book provides a comprehensive overview of the state of the art in process mining. It is intended for business process analysts, business consultants, process managers, graduate students, and BPM researchers.
A key Guerrilla concept is tactical planning whereby short-range planning questions and projects are brought up in team meetings such that management is compelled to know the answer, and therefore buys into capacity planning without recognizing it as such. Once you have your "foot in the door", capacity planning methods can be refined in an iterative cycle of improvement called "The Wheel of Capacity Planning". Another unique Guerrilla tool is Virtual Load Testing, based on Dr. Gunther's "Universal Law of Computational Scaling", which provides a highly cost-effective method for assessing application scalability.
This book will show you how to quickly get up and running with Ferret. You'll learn how to index different document types such as PDF, Microsoft Word, and HTML, as well as how to deal with foreign languages and different character encodings. Ferret describes the Ferret Query Language in detail along with the object-oriented approach to building queries.
You will also be introduced to sorting, filtering, and highlighting your search results, with an explanation of exactly how you need to set up your index to perform these tasks. You will also learn how to optimize a Ferret index for lightning fast indexing and split-second query results.
This book bridges the gap that exists between purely technical books about the blockchain and purely business-focused books. It does so by explaining both the technical concepts that make up the blockchain and their role in business-relevant applications.
What You'll LearnWhat the blockchain is
Why it is needed and what problem it solves
Why there is so much excitement about the blockchain and its potential
Major components and their purpose
How various components of the blockchain work and interact
Limitations, why they exist, and what has been done to overcome them
Major application scenarios
Who This Book Is For
Everyone who wants to get a general idea of what blockchain technology is, how it works, and how it will potentially change the financial system as we know it
Recommender Systems Handbook, an edited volume, is a multi-disciplinary effort that involves world-wide experts from diverse fields, such as artificial intelligence, human computer interaction, information technology, data mining, statistics, adaptive user interfaces, decision support systems, marketing, and consumer behavior. Theoreticians and practitioners from these fields continually seek techniques for more efficient, cost-effective and accurate recommender systems. This handbook aims to impose a degree of order on this diversity, by presenting a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, challenges and applications. Extensive artificial applications, a variety of real-world applications, and detailed case studies are included.
Recommender Systems Handbook illustrates how this technology can support the user in decision-making, planning and purchasing processes. It works for well known corporations such as Amazon, Google, Microsoft and AT&T. This handbook is suitable for researchers and advanced-level students in computer science as a reference.
Electronic information involved in a lawsuit requires a completely different process for management and archiving than paper information. With the recent change to Federal Rules of Civil Procedure making all lawsuits subject to e-discovery as soon as they are filed, it is more important than ever to make sure that good e-discovery practices are in place.
e-Discovery For Dummies is an ideal beginner resource for anyone looking to understand the rules and implications of e-discovery policy and procedures. This helpful guide introduces you to all the most important information for incorporating legal, technical, and judicial issues when dealing with the e-discovery process. You'll learn the various risks and best practices for a company that is facing litigation and you'll see how to develop an e-discovery strategy if a company does not already have one in place.E-discovery is the process by which electronically stored information sought, located, secured, preserved, searched, filtered, authenticated, and produced with the intent of using it as evidence Addresses the rules and process of e-discovery and the implications of not having good e-discovery practices in place Explains how to develop an e-discovery strategy if a company does not have one in place
e-Discovery For Dummies will help you discover the process and best practices of managing electronic information for lawsuits.
This book provides the first descriptive and structured presentation of the TV-Anytime norm, which will standardize information formats and communication protocols to create a framework for the development of novel and intelligent services in the audiovisual market. The standard, the dissemination of which has been entrusted to the European Telecommunications Standards Institute, ensures manufacturers and service providers that their products will be presented to the widest possible market, without fear of being constrained by the wars of interest typical for emerging technologies. The individual chapters provide detailed descriptions of the new standard’s most important capabilities and contributions, including metadata management, customization and personalization processes, uni- and bidirectional data transfer, and remote receiver programming.Overall, the authors deliver a solid introduction to the standard. To ensure a better understanding of concepts and tools, they present a wide range of simple examples illustrating many different usage scenarios that can be found when describing users, equipment and content. This presentation style mainly targets professionals in the television and broadcasting industry who are interested in acquainting themselves with the standard and the possibilities it offers.
Meinard Müller details concepts and algorithms for robust and efficient information retrieval by means of two different types of multimedia data: waveform-based music data and human motion data. In Part I, he discusses in depth several approaches in music information retrieval, in particular general strategies as well as efficient algorithms for music synchronization, audio matching, and audio structure analysis. He also shows how the analysis results can be used in an advanced audio player to facilitate additional retrieval and browsing functionality. In Part II, he introduces a general and unified framework for motion analysis, retrieval, and classification, highlighting the design of suitable features, the notion of similarity used to compare data streams, and data organization. The detailed chapters at the beginning of each part give consideration to the interdisciplinary character of this field, covering information science, digital signal processing, audio engineering, musicology, and computer graphics.
This first monograph specializing in music and motion retrieval appeals to a wide audience, from students at the graduate level and lecturers to scientists working in the above mentioned fields in academia or industry. Lecturers and students will benefit from the didactic style, and each unit is suitable for stand-alone use in specialized graduate courses. Researchers will be interested in the detailed description of original research results and their application in real-world browsing and retrieval scenarios.
Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book.
This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science.
In the second edition of this very successful book, Tony Sammes and Brian Jenkinson show how information held in computer systems can be recovered when it has been hidden or subverted by criminals, and how to insure that it is accepted as admissible evidence in court. Updated to fall in line with ACPO 2003 guidelines, "Forensic Computing: A Practitioner's Guide" is illustrated with plenty of case studies and worked examples, and will help practitioners and students gain a clear understanding in:
* Recovering information from computer systems that will acceptable as evidence
* The principles involved in password protection and data encryption
* The evaluation procedures used in circumventing a system’s internal security safeguards
* Full search and seizure protocols for experts and police officers.
The new volume not only discusses the new file system technologies brought in by Windows XP and 2000 but now also considers modern fast drives, new encryption technologies, the practicalities of "live" analysis, and the problems inherent in examining personal organisers.
Professor A. J. Sammes is Professor of Computing Science, in the Faculty of Military Science, Technology and Management at the Defense Academy, Shrivenham. His department has been more or less solely responsible for training senior police officers in the UK in the art of forensic computing. His testimony as an expert witness has been called in countless cases, some of great national importance.
Brian Jenkinson is a retired Detective Inspector, formally Head of the Cambridgeshire Constabulary Fraud Squad. He is now an independent Forensic Computer Consultant and is also closely involved in teaching to both law enforcement and commercial practitioners. He was appointed Visiting Professor for Forensic Computing in 2002 at Cranfield University and the Defence Academy.
Big Data Networked Storage Solution for Hadoop delivers the capabilities for ingesting, storing, and managing large data sets with high reliability. IBM InfoSphere® Big InsightsTM provides an innovative analytics platform that processes and analyzes all types of data to turn large complex data into insight.
IBM InfoSphere BigInsights brings the power of Hadoop to the enterprise. With built-in analytics, extensive integration capabilities, and the reliability, security and support that you require, IBM can help put your big data to work for you.
This IBM Redpaper publication provides basic guidelines and best practices for how to size and configure Big Data Networked Storage Solution for Hadoop.
Levy profiles the imaginative brainiacs who found clever and unorthodox solutions to computer engineering problems. They had a shared sense of values, known as "the hacker ethic," that still thrives today. Hackers captures a seminal period in recent history when underground activities blazed a trail for today's digital world, from MIT students finagling access to clunky computer-card machines to the DIY culture that spawned the Altair and the Apple II.
Whether you're a product developer researching the market viability of a new product or service, a marketing manager gauging or predicting the effectiveness of a campaign, a salesperson who needs data to support product presentations, or a lone entrepreneur responsible for all of these data-intensive functions and more, the unique approach in Head First Data Analysis is by far the most efficient way to learn what you need to know to convert raw data into a vital business tool.
You'll learn how to:
Determine which data sources to use for collecting informationAssess data quality and distinguish signal from noiseBuild basic data models to illuminate patterns, and assimilate new information into the modelsCope with ambiguous informationDesign experiments to test hypotheses and draw conclusionsUse segmentation to organize your data within discrete market groupsVisualize data distributions to reveal new relationships and persuade othersPredict the future with sampling and probability modelsClean your data to make it usefulCommunicate the results of your analysis to your audience
Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First Data Analysis uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.