On Modular and Fully-Abstract Compilation -- Technical Appendix
April 18, 2016 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Marco Patrignani, Dominique Devriese, Frank Piessens
arXiv ID
1604.05044
Category
cs.PL: Programming Languages
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Secure compilation studies compilers that generate target-level components that are as secure as their source-level counterparts. Full abstraction is the most widely-proven property when defining a secure compiler. A compiler is modular if it allows different components to be compiled independently and then to be linked together to form a whole program. Unfortunately, many existing fully-abstract compilers to untyped machine code are not modular. So, while fully-abstractly compiled components are secure from malicious attackers, if they are linked against each other the resulting component may become vulnerable to attacks. This paper studies how to devise modular, fully-abstract compilers. It first analyses the attacks arising when compiled programs are linked together, identifying security threats that are due to linking. Then, it defines a compiler from an object-based language with method calls and dynamic memory allocation to untyped assembly language extended with a memory isolation mechanism. The paper provides a proof sketch that the defined compiler is fully-abstract and modular, so its output can be linked together without introducing security violations.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Programming Languages
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
R.I.P.
π»
Ghosted
Glow: Graph Lowering Compiler Techniques for Neural Networks
R.I.P.
π»
Ghosted
Learnable Programming: Blocks and Beyond
R.I.P.
π»
Ghosted
Scenic: A Language for Scenario Specification and Scene Generation
R.I.P.
π»
Ghosted
Vandal: A Scalable Security Analysis Framework for Smart Contracts
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted