Mubariz Khan's Projects
Malicious Activity Detection System (current) Final Year Project (in progress) Deep Learning based solution, which analyses Network Activity sequences to classify whether the certain node is Malicious or Benign. Devising a tool/software which will detect malicious Network Activity Detection using Deep Learning Model. Tools: Python, Neural Network (BERT), Google Colaboratory
This dataset is part of my Master's research on malware detection and classification using the XGBoost library. The dataset is a collection of 1.55 million of 1000 API import features extract from the EMBER dataset 2017 v2 and 2018. All duplicated records are removed. Instructions: * FEATURES * Column name: sha256 Description: SHA256 hash of the example Type: string Column name: appeared Description: appeared date of the sample Type: date (yyyy-mm format) Column name: label Description: specify malware or goodware of the sample Type: integer Column name: GetProcAddress Description: Most imported function (1st) Type: 0 (Not imported) or 1 (Imported) ... Column name: LookupAccountSidW Description: Least imported function (1000th) Type: 0 (Not imported) or 1 (Imported)
TensorFlow code and pre-trained models for BERT
These books are related to Computer science
This is a Python version of CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) - an Ethernet traffic Bi-flow generator and analyzer for anomaly detection.
Everything related to Object Oriented Programming & C++
Practice codes of the neccessary stuff in web development-- One step at a time.
A tool to generate malicious .deb files
Docker AWS CDK Flask application orchestrated with elastic cloud service
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