Cybersecurity is a conundrum. Despite a decade of sustained attention from scholars, legislators, military officials, popular media, and successive presidential administrations, little, if any, progress has been made in augmenting Internet security. Current scholarship on cybersecurity is bound to ill-fitting doctrinal models; it addresses cybersecurity based upon identification of actors and intent, arguing that inherent defects in the Internet’s architecture must be remedied to enable attribution. These proposals, if adopted, would badly damage the Internet’s generative capacity for innovation. Drawing upon scholarship in economics, animal behavior, and mathematics, the Article takes a radical new path, offering a theoretical model oriented around information, in distinction to the near-obsession with technical infrastructure demonstrated by other models. It posits a regulatory focus on access and alteration of data, and on guaranteeing its integrity. Counterintuitively, it suggests that creating inefficient storage and connectivity best protects user capabilities to access and alter information, but this necessitates difficult tradeoffs with preventing unauthorized interaction with data. The Article outlines how to implement inefficient information storage and connectivity through legislation. Lastly, it describes the stakes in cybersecurity debates: adopting current scholarly approaches jeopardizes not only the Internet’s generative architecture, but also key normative commitments to free expression on-line.
Volume 96 - No. 2
- Note: Maximizing the Min-Max Test: A Proposal To Unify the Framework for Rule 403 Decisions
- Note: Anticompetitive Until Proven Innocent: An Antitrust Proposal To Embargo Covert Patent Privateering Against Small Businesses
- New Economy, Old Biases
- Will LGBT Antidiscrimination Law Follow the Course of Race Antidiscrimination Law?
- “The More Things Change . . .”: New Moves for Legitimizing Racial Discrimination in a “Post-Race” World
© 2011-2016 Minnesota Law Review. All Rights Reserved.