Introduction
When my friend's files were attacked by viruses and malware we got this idea
How it works
It basically uses cic-flow meter dataset to scan logs of your files and detects viruses and malware
What we've used
We used fast-api, python, mathplotlib, seaborn for backend and react js for front end
Challenges we've faced
The distribution of malware and clean files in real-world datasets is often imbalanced, with a significantly larger number of clean files compared to malware samples. This can lead to biased models that perform well on clean files but struggle to detect rare malware samples, In some scenarios, such as network security or endpoint protection, real-time detection is crucial to prevent the malware from causing damage. Implementing efficient and low-latency detection methods can be demanding.
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