Register to the CYRENE 2nd Hackathon
Click on the button to the right
For 24 hours from the 16th until the 17th of February 2023, you have the opportunity to dive into the world of supply chain cyber security and contribute to the solution of real-life challenges faced by organizations all over the world.
The CYRENE project organizes its 2nd Hackathon and is looking forward to hearing your ideas on the development of new algorithms and visualization tools that could be useful to the CYRENE components and architecture. Open-source software will be suggested for the scope and a repository will be provided for allowing file exchange between project partners and participants.
Registration is open until the 13th of February 2023!
In recent years, the malware industry has become a well-organized market involving large amounts of money. Well-funded, multi-player syndicates invest heavily in technologies and capabilities built to evade traditional protection, requiring anti-malware vendors to develop counter mechanisms for finding and deactivating them. In the meantime, they inflict real financial and emotional pain on users of computer systems.
One of the major challenges that anti-malware faces today is the vast amounts of data and files which need to be evaluated for potential malicious intent. For example, real-time detection anti-malware products are present on many computers worldwide. This generates tens of millions of monitoring data points to be analyzed as potential malware. One of the main reasons for these high volumes of different files is the fact that, in order to evade detection, malware authors introduce polymorphism to the malicious components. This means that malicious files belonging to the same malware “family”, with the same forms of malicious behavior, are constantly modified and/or obfuscated using various tactics, such that they look like many different files.
In order to be effective in analyzing and classifying such large amounts of files, we need to be able to group them into clusters and identify their respective families. In addition, such grouping criteria may be applied to new files encountered on computers in order to detect them as malicious and of a certain family.
For this challenge, the CYRENE Consortium proposes a dataset provided by Microsoft via the Kaggle website
Registration is open until the 13th of February 2023!
Computer, Webcam, Microphone, Headphones and stable internet connection are needed during the full event - optional on-site elements at some CYRENE partner universities
The following skills are mandatory:
Participation in the CYRENE Hackathon is completely free of charge!
TIME (CET) | PRESENTATION | SPEAKERS |
---|---|---|
DAY 1 | ||
9:00 – 9:30 | Hackathon Presentation | [Name, Surname], CRF |
9:30 – 10:00 | Technical description of datasets & tools | [Name, Surname], [Partner Acronym] |
10:00 – 10:15 | Q&A | |
10:30 | Start of the CYRENE Hackathon 2022 (Duration 24hr) | |
DAY 2 | ||
10:30 | End of the CYRENE Hackathon 2022 | |
10:30 – 12:30 | Participants prepare presentations of the results produced | |
12:30 – 13:30 | Presentation of the hackathon results by Hackathon participants | |
13:30 – 14:00 | Final evaluation by project technical commission | |
14:00 – 14:30 | Awards |
The participants are free to choose any tool they are familiar with. However, we propose some tools like those:
tool for visualisation in Python
tool for visualisation in Python
Python data analysis tool
machine learning tool in Python
An end-to-end machine learning platform
A python deep learning API
Click on the button to the right
Project Coordinator: Sofoklis Efremidis
Institution: Maggioli SPA
Email: info{at}cyrene.eu
Start: 1-10-2020
Duration: 36 months
Participating organisations: 14
Number of countries: 10
This project has received funding from the European Union’s Horizon 2020 Research and Innovation program under grant agreement No 952690. The website reflects only the view of the author(s) and the Commission is not responsible for any use that may be made of the information it contains.
This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.
Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.
If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.
This website uses Google Analytics to collect anonymous information such as the number of visitors to the site, and the most popular pages.
Keeping this cookie enabled helps us to improve our website.
Please enable Strictly Necessary Cookies first so that we can save your preferences!
More information about our Cookie Policy