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Improving System Security Through TCB Reduction

The OS (operating system) is the primary target of todays attacks. A single exploitable defect can be sufficient to break the security of the system and give fully control over all the software on the machine. Because current operating systems are too large to be defect free, the best approach to improve the system security is to reduce their code to more manageable levels. This work shows how the security-critical part of the OS, the so called TCB (Trusted Computing Base), can be reduced from millions to less than hundred thousand lines of code to achieve these security goals. Shrinking the software stack by more than an order of magnitude is an open challenge since no single technique can currently achieve this.

We therefore followed a holistic approach and improved the design as well as implementation of several system layers starting with a new OS called NOVA. NOVA provides a small TCB for both newly written applications but also for legacy code running inside virtual machines. Virtualization is thereby the key technique to ensure that compatibility requirements will not increase the minimal TCB of our system. The main contribution of this work is to show how the virtual machine monitor for NOVA was implemented with significantly less lines of code without affecting the performance of its guest OS. To reduce the overall TCB of our system, other parts had to be improved as well. Additional contributions are the simplification of the OS debugging interface, the reduction of the boot stack and a new programming language called B1 that can be more easily compiled.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa.de:bsz:14-qucosa-162177
Date16 April 2015
CreatorsKauer, Bernhard
ContributorsTechnische Universität Dresden, Fakultät Informatik, Prof. Dr. Hermann Haertig, Prof. Dr. Hermann Haertig, Prof. Dr. Paulo Esteves Veríssimo
PublisherSaechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typedoc-type:doctoralThesis
Formatapplication/pdf

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