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Designed for managers struggling to understand the risks in organizations dependent on secure networks, this book applies economics not to generate breakthroughs in theoretical economics, but rather breakthroughs in understanding the problems of security.
In the late 1990s, researchers began to grasp that the roots of many information security failures can be better explained with the language of economics than by pointing to instances of technical flaws. This led to a thriving new interdisciplinary research field combining economic and engineering insights, measurement approaches and methodologies to ask fundamental questions concerning the viability of a free and open information society. While economics and information security comprise the nucleus of an academic movement that quickly drew the attention of thinktanks, industry, and governments, the field has expanded to surrounding areas such as management of information security, privacy, and, more recently, cybercrime, all studied from an interdisciplinary angle by combining methods from microeconomics, econometrics, qualitative social sciences, behavioral sciences, and experimental economics. This book is structured in four parts, reflecting the main areas: management of information security, economics of information security, economics of privacy, and economics of cybercrime. Each individual contribution documents, discusses, and advances the state of the art concerning its specific research questions. It will be of value to academics and practitioners in the related fields.
The Workshop on the Economics of Information Security (WEIS) is the leading forum for interdisciplinary research and scholarship on information security and privacy, combining ideas, techniques, and expertise from the fields of economics, social science, business, law, policy, and computer science. In 2009, WEIS was held in London, at UCL, a constituent college of the University of London. Economics of Information Security and Privacy includes chapters presented at WEIS 2009, having been carefully reviewed by a program committee composed of leading researchers. Topics covered include identity theft, modeling uncertainty's effects, future directions in the economics of information security, economics of privacy, options, misaligned incentives in systems, cyber-insurance, and modeling security dynamics. Economics of Information Security and Privacy is designed for managers, policy makers, and researchers working in the related fields of economics of information security. Advanced-level students focusing on computer science, business management and economics will find this book valuable as a reference.
The Workshop on the Economics of Information Security (WEIS) is the leading forum for interdisciplinary scholarship on information security, combining expertise from the fields of economics, social science, business, law, policy and computer science. Prior workshops have explored the role of incentives between attackers and defenders, identified market failures dogging Internet security, and assessed investments in cyber-defense. Current contributions build on past efforts using empirical and analytic tools to not only understand threats, but also strengthen security through novel evaluations of available solutions. Economics of Information Security and Privacy III addresses the following questions: how should information risk be modeled given the constraints of rare incidence and high interdependence; how do individuals' and organizations' perceptions of privacy and security color their decision making; how can we move towards a more secure information infrastructure and code base while accounting for the incentives of stakeholders?
The Workshop on the Economics of Information Security (WEIS) is the leading forum for interdisciplinary scholarship on information security, combining expertise from the fields of economics, social science, business, law, policy and computer science. Prior workshops have explored the role of incentives between attackers and defenders, identified market failures dogging Internet security, and assessed investments in cyber-defense. Current contributions build on past efforts using empirical and analytic tools to not only understand threats, but also strengthen security through novel evaluations of available solutions. Economics of Information Security and Privacy III addresses the following questions: how should information risk be modeled given the constraints of rare incidence and high interdependence; how do individuals' and organizations' perceptions of privacy and security color their decision making; how can we move towards a more secure information infrastructure and code base while accounting for the incentives of stakeholders?
Cybersecurity is an increasing problem for which the market may fail to produce a solution. The ultimate source is that computer owners lack adequate incentives to invest in security because they bear fully the costs of their security precautions but share the benefits with their network partners. In a world of positive transaction costs, individuals often select less than optimal security levels. The problem is compounded because the insecure networks extend far beyond the regulatory jurisdiction of any one nation or even coalition of nations. This book brings together the views of leading law and economics scholars on the nature of the cybersecurity problem and possible solutions to it. Many of these solutions are market based, but they need some help, either from government or industry groups or both. Indeed, the cybersecurity problem prefigures a host of 21st century problems created by information technology and the globalization of markets.
During recent years, a continuously increasing amount of personal data has been made available through different websites around the world. Although the availability of personal information has created several advantages, it can be easily misused and may lead to violations of privacy. With growing interest in this area, Digital Privacy: Theory, Technologies, and Practices addresses this timely issue, providing information on state-of-the-art technologies, best practices, and research results, as well as legal, regulatory, and ethical issues. This book features contributions from experts in academia, industry, and government.
Blackhatonomics explains the basic economic truths of the underworld of hacking, and why people around the world devote tremendous resources to developing and implementing malware. The book provides an economic view of the evolving business of cybercrime, showing the methods and motivations behind organized cybercrime attacks, and the changing tendencies towards cyber-warfare. Written by an exceptional author team of Will Gragido, Daniel J Molina, John Pirc and Nick Selby, Blackhatonomics takes practical academic principles and backs them up with use cases and extensive interviews, placing you right into the mindset of the cyber criminal. - Historical perspectives of the development of malware as it evolved into a viable economic endeavour - Country specific cyber-crime analysis of the United States, China, and Russia, as well as an analysis of the impact of Globalization on cyber-crime - Presents the behind the scenes methods used to successfully execute financially motivated attacks in a globalized cybercrime economy - Provides unique insights, analysis, and useful tools for justifying corporate information security budgets - Provides multiple points of view, from pure research, to corporate, to academic, to law enforcement - Includes real world cybercrime case studies and profiles of high-profile cybercriminals
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
This SPR Departmental Paper will provide policymakers with a framework for studying changes to national data policy frameworks.