BenchPress: Analyzing Android App Vulnerability Benchmark Suites
March 12, 2019 Β· Declared Dead Β· π 2019 34th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW)
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Joydeep Mitra, Venkatesh-Prasad Ranganath, Aditya Narkar
arXiv ID
1903.05170
Category
cs.SE: Software Engineering
Cross-listed
cs.CR
Citations
6
Venue
2019 34th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW)
Last Checked
4 months ago
Abstract
In recent years, various benchmark suites have been developed to evaluate the efficacy of Android security analysis tools. The choice of such benchmark suites used in tool evaluations is often based on the availability and popularity of suites and not on their characteristics and relevance. One of the reasons for such choices is the lack of information about the characteristics and relevance of benchmarks suites. In this context, we empirically evaluated four Android specific benchmark suites: DroidBench, Ghera, IccBench, and UBCBench. For each benchmark suite, we identified the APIs used by the suite that were discussed on Stack Overflow in the context of Android app development and measured the usage of these APIs in a sample of 227K real world apps (coverage). We also compared each pair of benchmark suites to identify the differences between them in terms of API usage. Finally, we identified security-related APIs used in real-world apps but not in any of the above benchmark suites to assess the opportunities to extend benchmark suites (gaps). The findings in this paper can help 1) Android security analysis tool developers choose benchmark suites that are best suited to evaluate their tools (informed by coverage and pairwise comparison) and 2) Android app vulnerability benchmark creators develop and extend benchmark suites (informed by gaps).
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