Open Access. Powered by Scholars. Published by Universities.®

Computer Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Air Force Institute of Technology

Theses and Dissertations

2015

Cryptography

Articles 1 - 2 of 2

Full-Text Articles in Computer Engineering

Git As An Encrypted Distributed Version Control System, Russell G. Shirey Mar 2015

Git As An Encrypted Distributed Version Control System, Russell G. Shirey

Theses and Dissertations

This thesis develops and presents a secure Git implementation, Git Virtual Vault (GV2), for users of Git to work on sensitive projects with repositories located in unsecure distributed environments, such as in cloud computing. This scenario is common within the Department of Defense, as much work is of a sensitive nature. In order to provide security to Git, additional functionality is added for confidentiality and integrity protection. This thesis examines existing Git encryption implementations and baselines their performance compared to unencrypted Git. Real-world Git repositories are examined to characterize typical Git usage and determine if the existing Git encryption implementations …


The Theory And Application Of Privacy-Preserving Computation, Michael R. Clark Mar 2015

The Theory And Application Of Privacy-Preserving Computation, Michael R. Clark

Theses and Dissertations

Privacy is a growing concern in the digital world as more information becomes digital every day. Often the implications of how this information could be exploited for nefarious purposes are not explored until after the fact. The public is becoming more concerned about this. This dissertation introduces a new paradigm for tackling the problem, namely, transferable multiparty computation (T-MPC). T-MPC builds upon existing multiparty computation work yet allows some additional flexibility in the set of participants. T-MPC is orders of magnitude more efficient for certain applications. This greatly increases the scalability of the sizes of networks supported for privacy-preserving computation.