Since the early eighties IFIP/Sec has been an important rendezvous for Information Technology researchers and specialists involved in all aspects of IT security. The explosive growth of the Web is now faced with the formidable challenge of providing trusted information. IFIP/Sec’01 is the first of this decade (and century) and it will be devoted to “Trusted Information - the New Decade Challenge” This proceedings are divided in eleven parts related to the conference program. Session are dedicated to technologies: Security Protocols, Smart Card, Network Security and Intrusion Detection, Trusted Platforms. Others sessions are devoted to application like eSociety, TTP Management and PKI, Secure Workflow Environment, Secure Group Communications, and on the deployment of applications: Risk Management, Security Policies andTrusted System Design and Management. The year 2001 is a double anniversary. First, fifteen years ago, the first IFIP/Sec was held in France (IFIP/Sec’86, Monte-Carlo) and 2001 is also the anniversary of smart card technology. Smart cards emerged some twenty years ago as an innovation and have now become pervasive information devices used for highly distributed secure applications. These cards let millions of people carry a highly secure device that can represent them on a variety of networks. To conclude, we hope that the rich “menu” of conference papers for this IFIP/Sec conference will provide valuable insights and encourage specialists to pursue their work in trusted information.

Information is currency. Recent studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. In this important and timely new book, Danette McGilvray presents her "Ten Steps approach to information quality, a proven method for both understanding and creating information quality in the enterprise. Her trademarked approach—in which she has trained Fortune 500 clients and hundreds of workshop attendees—applies to all types of data and to all types of organizations.* Includes numerous templates, detailed examples, and practical advice for executing every step of the "Ten Steps approach.* Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices.* A companion Web site includes links to numerous data quality resources, including many of the planning and information-gathering templates featured in the text, quick summaries of key ideas from the Ten Step methodology, and other tools and information available online.

Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for understanding information quality with techniques, tools, and instructions for practically putting the approach to work – with the end result of high-quality trusted data and information, so critical to today's data-dependent organizations. The Ten Steps approach applies to all types of data and all types of organizations – for-profit in any industry, non-profit, government, education, healthcare, science, research, and medicine. This book includes numerous templates, detailed examples, and practical advice for executing every step. At the same time, readers are advised on how to select relevant steps and apply them in different ways to best address the many situations they will face. The layout allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, best practices, and warnings. The experience of actual clients and users of the Ten Steps provide real examples of outputs for the steps plus highlighted, sidebar case studies called Ten Steps in Action. This book uses projects as the vehicle for data quality work and the word broadly to include: 1) focused data quality improvement projects, such as improving data used in supply chain management, 2) data quality activities in other projects such as building new applications and migrating data from legacy systems, integrating data because of mergers and acquisitions, or untangling data due to organizational breakups, and 3) ad hoc use of data quality steps, techniques, or activities in the course of daily work. The Ten Steps approach can also be used to enrich an organization's standard SDLC (whether sequential or Agile) and it complements general improvement methodologies such as six sigma or lean. No two data quality projects are the same but the flexible nature of the Ten Steps means the methodology can be applied to all. The new Second Edition highlights topics such as artificial intelligence and machine learning, Internet of Things, security and privacy, analytics, legal and regulatory requirements, data science, big data, data lakes, and cloud computing, among others, to show their dependence on data and information and why data quality is more relevant and critical now than ever before. - Includes concrete instructions, numerous templates, and practical advice for executing every step of The Ten Steps approach - Contains real examples from around the world, gleaned from the author's consulting practice and from those who implemented based on her training courses and the earlier edition of the book - Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices - A companion Web site includes links to numerous data quality resources, including many of the templates featured in the text, quick summaries of key ideas from the Ten Steps methodology, and other tools and information that are available online

Report concluds that by using currently available technology, the government can set up a network that substantially improves our ability to prevent terrorist attacks and protect civil liberties. It provided details for the necessary elements of a proposed System-wide Homeland Analysis and Resource Exchange (SHARE) Network that would more effectively combat terrorism than our current system, while protecting privacy. The public's trust in a governmental network that makes use of information about its own people can be achieved only if government-wide guidelines for information sharing and privacy protection are established after open public debates on the issue. The Task Force therefore proposed that the President set the goal of creating such a network, and issue clear government-wide policy guidelines for the collection and use of information about people in the U.S., including private sector information.

Keeping U.S. Intelligence Effective: The Need for a Revolution in Intelligence Affairs explores whether the U.S. intelligence enterprise will be able to remain effective in today's security environment. Based on the demands currently being placed upon the intelligence community, the analysis concludes that the effectiveness of U.S. intelligence will decline unless it embarks upon an aggressive, transformational course of action to reform various aspects of its operations. In keeping with the emerging literature on this subject, the book asserts that a so-called Revolution in Intelligence Affairs is needed.

Advances in medical, biomedical and health services research have reduced the level of uncertainty in clinical practice. Clinical practice guidelines (CPGs) complement this progress by establishing standards of care backed by strong scientific evidence. CPGs are statements that include recommendations intended to optimize patient care. These statements are informed by a systematic review of evidence and an assessment of the benefits and costs of alternative care options. Clinical Practice Guidelines We Can Trust examines the current state of clinical practice guidelines and how they can be improved to enhance healthcare quality and patient outcomes. Clinical practice guidelines now are ubiquitous in our healthcare system. The Guidelines International Network (GIN) database currently lists more than 3,700 guidelines from 39 countries. Developing guidelines presents a number of challenges including lack of transparent methodological practices, difficulty reconciling conflicting guidelines, and conflicts of interest. Clinical Practice Guidelines We Can Trust explores questions surrounding the quality of CPG development processes and the establishment of standards. It proposes eight standards for developing trustworthy clinical practice guidelines emphasizing transparency; management of conflict of interest ; systematic review-guideline development intersection; establishing evidence foundations for and rating strength of guideline recommendations; articulation of recommendations; external review; and updating. Clinical Practice Guidelines We Can Trust shows how clinical practice guidelines can enhance clinician and patient decision-making by translating complex scientific research findings into recommendations for clinical practice that are relevant to the individual patient encounter, instead of implementing a one size fits all approach to patient care. This book contains information directly related to the work of the Agency for Healthcare Research and Quality (AHRQ), as well as various Congressional staff and policymakers. It is a vital resource for medical specialty societies, disease advocacy groups, health professionals, private and international organizations that develop or use clinical practice guidelines, consumers, clinicians, and payers.