Security from Location a Dissertation Submitted to the Department of Aeronautics and Astronautics and the Committee on Graduate Studies of Stanford University in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy

نویسنده

  • Di Qiu
چکیده

The emergence of the Internet and personal computers has led to an age of unprecedented information access. The proliferation of Internet connectivity, personal computers, and portable, high density data storage has put volumes of data at one's ngertips. While the spread of such technology has increased e ciency and knowledge, it has also made information theft easier and more damaging. One common expression of information theft is a data storage disk or equipment containing sensitive or valuable information. For example, the U.K. government lost computer disks that contain personal information on almost half of the country's population. The information includes names, addresses, insurance numbers, bank account details, etc. These emerging problems have made the eld of information security grow significantly in recent years. This thesis develops a new means to provide more protection against information loss, named geo-security or location-based security. This new technology is well suited to help mitigate the above described data loss scenario. Precise location and time information can be used to restrict access of the system or equipment at certain locations and time frames. This study bridges the two elds of navigation and security, and provides experimental support for the concept using location information for security. This thesis designs a theoretical framework that provides a general analysis of geo-security, and quanti es the reliability and security of a geo-security system. The qualitative part of this analysis includes navigation signal de nition, system design, performance standards, threat model and attack scenarios, and mitigation of the threats/attacks. The quantitative part of this analysis measures and quanti es location-dependent navigation parameters based on information theory, and evaluates

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منابع مشابه

Structuring Peer Interactions for Massive Scale Learning a Dissertation Submitted to the Department of Computer Science and the Committee on Graduate Studies of Stanford University in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy

....................................................................................................................... iv Acknowledgments ........................................................................................................ vi Table of

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تاریخ انتشار 2009