Continuous Flow Analysis to Detect Security Problems
September 30, 2019 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Steven P. Reiss
arXiv ID
1909.13683
Category
cs.SE: Software Engineering
Cross-listed
cs.CR
Citations
2
Venue
arXiv.org
Last Checked
4 months ago
Abstract
We introduce a tool that supports continuous flow analysis in order to detect security problems as the user edits. The tool uses abstract interpretation over both byte codes and abstract syntax trees to trace the flow of both type annotations and system states from their sources to security problems. The flow analysis achieves a balance between performance and accuracy in order to detect security vulnerabilities within seconds, and uses incremental update to provide immediate feedback to the programmer. Resource files are used to specify the specific security constraints of an application and to tune the analysis. The system can also provide detailed information to the programmer as to why it flagged a particular problem. The tool is integrated into the Code Bubbles development environment.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Software Engineering
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Microservices: yesterday, today, and tomorrow
π
π
The Cartographer
A Survey of Machine Learning for Big Code and Naturalness
R.I.P.
π»
Ghosted
An Overview on Smart Contracts: Challenges, Advances and Platforms
R.I.P.
π»
Ghosted
Slither: A Static Analysis Framework For Smart Contracts
R.I.P.
π»
Ghosted
ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection
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