| Title | DataShield: Configurable Data Confidentiality and Integrity |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Carr, Scott A., Payer, Mathias |
| Conference Name | Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-4944-4 |
| Keywords | compiler security, composability, memory safety, pubcrawl, Resiliency, runtime monitors, software security |
| Abstract | Applications written in C/C++ are prone to memory corruption, which allows attackers to extract secrets or gain control of the system. With the rise of strong control-flow hijacking defenses, non-control data attacks have become the dominant threat. As vulnerabilities like HeartBleed have shown, such attacks are equally devastating. Data Confidentiality and Integrity (DCI) is a low-overhead non-control-data protection mechanism for systems software. DCI augments the C/C++ programming languages with an- notations, allowing the programmer to protect selected data types. The DCI compiler and runtime system prevent illegal reads (confidentiality) and writes (integrity) to instances of these types. The programmer selects types that contain security critical information such as passwords, cryptographic keys, or identification tokens. Protecting only this critical data greatly reduces performance overhead relative to complete memory safety. Our prototype implementation of DCI, DataShield, shows the applicability and efficiency of our approach. For SPEC CPU2006, the performance overhead is at most 16.34%. For our case studies, we instrumented mbedTLS, astar, and libquantum to show that our annotation approach is practical. The overhead of our SSL/TLS server is 35.7% with critical data structures protected at all times. Our security evaluation shows DataShield mitigates a recently discovered vulnerability in mbedTLS. |
| URL | http://doi.acm.org/10.1145/3052973.3052983 |
| DOI | 10.1145/3052973.3052983 |
| Citation Key | carr_datashield:_2017 |
DataShield: Configurable Data Confidentiality and Integrity