The Internet has dramatically altered the landscape of crime and national security, creating new threats, such as identity theft, computer viruses, and cyberattacks. Moreover, because cybercrimes are often not limited to a single site or nation, crime scenes themselves have changed. Consequently, law enforcement must confront these new dangers and embrace novel methods of prevention, as well as produce new tools for digital surveillance-which can jeopardize privacy and civil liberties. Cybercrime brings together leading experts in law, criminal justice, and security studies to describe crime prevention and security protection in the electronic age. Ranging from new government requirements that facilitate spying to new methods of digital proof, the book is essential to understand how criminal law-and even crime itself-have been transformed in our networked world. Contributors: Jack M. Balkin, Susan W. Brenner, Daniel E. Geer, Jr., James Grimmelmann, Emily Hancock, Beryl A. Howell, Curtis E.A. Karnow, Eddan Katz, Orin S. Kerr, Nimrod Kozlovski, Helen Nissenbaum, Kim A. Taipale, Lee Tien, Shlomit Wagman, and Tal Zarsky. Jack M. Balkin is Knight Professor of Constitutional Law and the First Amendment at Yale Law School, and the Founder and Director of Yale's Information Society Project (ISP). He is the co-editor of The State of Play: Law, Games, and Virtual Worlds, also from NYU Press. James Grimmelmann, Nimrod Kozlovski, Shlomit Wagman, and Tal Zarsky are Fellows of the ISP. Eddan Katz is the Executive Director of the Information Society Project.

Vast amounts of data are nowadays collected, stored and processed, in an effort to assist in making a variety of administrative and governmental decisions. These innovative steps considerably improve the speed, effectiveness and quality of decisions. Analyses are increasingly performed by data mining and profiling technologies that statistically and automatically determine patterns and trends. However, when such practices lead to unwanted or unjustified selections, they may result in unacceptable forms of discrimination. Processing vast amounts of data may lead to situations in which data controllers know many of the characteristics, behaviors and whereabouts of people. In some cases, analysts might know more about individuals than these individuals know about themselves. Judging people by their digital identities sheds a different light on our views of privacy and data protection. This book discusses discrimination and privacy issues related to data mining and profiling practices. It provides technological and regulatory solutions, to problems which arise in these innovative contexts. The book explains that common measures for mitigating privacy and discrimination, such as access controls and anonymity, fail to properly resolve privacy and discrimination concerns. Therefore, new solutions, focusing on technology design, transparency and accountability are called for and set forth.

The Internet has dramatically altered the landscape of crime and national security, creating new threats, such as identity theft, computer viruses, and cyberattacks. Moreover, because cybercrimes are often not limited to a single site or nation, crime scenes themselves have changed. Consequently, law enforcement must confront these new dangers and embrace novel methods of prevention, as well as produce new tools for digital surveillance-which can jeopardize privacy and civil liberties. Cybercrime brings together leading experts in law, criminal justice, and security studies to describe crime prevention and security protection in the electronic age. Ranging from new government requirements that facilitate spying to new methods of digital proof, the book is essential to understand how criminal law-and even crime itself-have been transformed in our networked world. Contributors: Jack M. Balkin, Susan W. Brenner, Daniel E. Geer, Jr., James Grimmelmann, Emily Hancock, Beryl A. Howell, Curtis E.A. Karnow, Eddan Katz, Orin S. Kerr, Nimrod Kozlovski, Helen Nissenbaum, Kim A. Taipale, Lee Tien, Shlomit Wagman, and Tal Zarsky.

Vast amounts of data are nowadays collected, stored and processed, in an effort to assist in making a variety of administrative and governmental decisions. These innovative steps considerably improve the speed, effectiveness and quality of decisions. Analyses are increasingly performed by data mining and profiling technologies that statistically and automatically determine patterns and trends. However, when such practices lead to unwanted or unjustified selections, they may result in unacceptable forms of discrimination. Processing vast amounts of data may lead to situations in which data controllers know many of the characteristics, behaviors and whereabouts of people. In some cases, analysts might know more about individuals than these individuals know about themselves. Judging people by their digital identities sheds a different light on our views of privacy and data protection. This book discusses discrimination and privacy issues related to data mining and profiling practices. It provides technological and regulatory solutions, to problems which arise in these innovative contexts. The book explains that common measures for mitigating privacy and discrimination, such as access controls and anonymity, fail to properly resolve privacy and discrimination concerns. Therefore, new solutions, focusing on technology design, transparency and accountability are called for and set forth.