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# Appearance | ||
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theme: forest | ||
theme: wak | ||
day_night: true | ||
font: 'Rose' | ||
font_size: L | ||
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--- | ||
# Documentation: https://wowchemy.com/docs/managing-content/ | ||
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title: "CamBench - Cryptographic API Misuse Detection Tool Benchmark Suite" | ||
event: "MSR 2022" | ||
event_url: "https://conf.researchr.org/track/msr-2022/msr-2022-registered-reports?" | ||
location: "Online & Pittsburgh" | ||
address: | ||
street: | ||
city: | ||
region: | ||
postcode: | ||
country: | ||
summary: | ||
abstract: "Context: Cryptographic APIs are often misused in real-world applications. Therefore, many cryptographic API misuse detection tools have been introduced. However, there exists no established reference benchmark for a fair and comprehensive comparison and evaluation of these tools. While there are benchmarks, they often only address a subset of the domain or were only used to evaluate a subset of existing misuse detection tools. Objective: To fairly compare cryptographic API misuse detection tools and to drive future development in this domain, we will devise such a benchmark. Openness and transparency in the generation process are key factors to fairly generate and establish the needed benchmark. Method:We propose an approach where we derive the benchmark generation methodology from the literature which consists of general best practices in benchmarking and domain-specific benchmark generation. A part of this methodology is transparency and openness of the generation process, which is achieved by pre-registering this work. Based on our methodology we design CamBench, a fair “Cryptographic API Misuse Detection Tool Benchmark Suite”. We will implement the first version of CamBench limiting the domain to Java, the JCA, and static analyses. Finally, we will use CamBench to compare current misuse detection tools and compare CamBench to related benchmarks of its domain." | ||
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# Talk start and end times. | ||
# End time can optionally be hidden by prefixing the line with `#`. | ||
date: 2022-05-19T15:00:00+02:00 | ||
date_end: 2022-05-24T21:56:12+02:00 | ||
all_day: true | ||
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# Schedule page publish date (NOT event date). | ||
publishDate: 2022-05-16T21:56:12+02:00 | ||
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authors: [anna] | ||
tags: [security, API-misuse, MSR, talk, benchmark] | ||
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# Is this a featured event? (true/false) | ||
featured: true | ||
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# Featured image | ||
# To use, add an image named `featured.jpg/png` to your page's folder. | ||
# Focal points: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight. | ||
image: | ||
caption: "" | ||
focal_point: "" | ||
preview_only: false | ||
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# Custom links (optional). | ||
# Uncomment and edit lines below to show custom links. | ||
# links: | ||
# - name: Follow | ||
# url: https://twitter.com | ||
# icon_pack: fab | ||
# icon: twitter | ||
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# Optional filename of your slides within your event's folder or a URL. | ||
url_slides: https://github.com/CROSSINGTUD/CamBench/blob/main/presentations/2022_05_24_MSR_CamBench.pdf | ||
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url_code: https://github.com/CROSSINGTUD/CamBench | ||
url_pdf: https://github.com/CROSSINGTUD/CamBench/blob/main/presentations/2022_05_19_MSR_CamBench.pdf | ||
url_video: | ||
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# Markdown Slides (optional). | ||
# Associate this event with Markdown slides. | ||
# Simply enter your slide deck's filename without extension. | ||
# E.g. `slides = "example-slides"` references `content/slides/example-slides.md`. | ||
# Otherwise, set `slides = ""`. | ||
slides: "" | ||
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# Projects (optional). | ||
# Associate this post with one or more of your projects. | ||
# Simply enter your project's folder or file name without extension. | ||
# E.g. `projects = ["internal-project"]` references `content/project/deep-learning/index.md`. | ||
# Otherwise, set `projects = []`. | ||
projects: [] | ||
--- |
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# Theme metadata | ||
name = "WAK" | ||
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[light] | ||
# Primary | ||
primary = "#22324A" | ||
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# Menu | ||
menu_primary = "#22324A" | ||
menu_text = "#88B3AD" | ||
menu_text_active = "#BE9AAB | ||
menu_title = "#88B3AD" | ||
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# Home sections | ||
home_section_odd = "#fff" | ||
home_section_even = "#F6F8F6" |