Usman Ali · imagine-talent

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Academic

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CGPA

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Year

2021

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DOB

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Career

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Skills

NodeJS, Python, Visual Studio Code, Eclipse, Angular, Machine Learning, Hybrid Analysis, Malware Detection

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.

RandecII is a ransomware detector which has been made to focus on hybrid analysis. Being implemented with our own four machine learning algorithms, RandecII accepts file uploads and process these files to ultimately classify them as malicious or benign. This enables users to comfortably know if any ransomware even part of the PUP family has been downloaded or installed in their device. Different malicious files that are part of legitimate files can also be tested and be correctly classified. The datasets used in training were taken from VirusTotal and Kaggle.  
Features include: 
- Realtime testing of malicious files 
- Cloud storage and its benefits 
- Hybrid analysis to ensure that the benefits of static and dynamic malware detection can be achieved. 
- Detection of obfuscated code. 











Technology Used: 
NodeJS, Python, Visual Studio Code, Eclipse, Angular 
Supervisor Name: 
Mr. Jawad Hassan 
Group Members:   
Usman Ali (i16 - 0164) 
Afaq Asif (i17 - 0217)

AI enrichment

Usman Ali is a student who contributed to RandecII, a ransomware detector utilizing hybrid analysis and custom machine learning algorithms. The project involved processing file uploads to classify malware using datasets from VirusTotal and Kaggle.

Skills (AI)

["NodeJS", "Python", "Angular", "Machine Learning", "Hybrid Analysis", "Malware Detection"]

Status: ai_done

Provenance

Source file: Graduate Directory FAST School of Computing 2021 (1st Final) (1).pdf
From job #24 page 226
Created: 1778144159