Dynamic professional with a strong background in cybersecurity. Threat and vulnerability identification, including cyber crime prevention and protection. Skilled in cyber forensics, with a focus on enhancing institutional cyber preparedness and communication strategies.
Performing quality control towards clients and maintaining of excellent working relations with clients.
Monitoring projects concerning people, financial and program management, and developing new business propositions with support from other leaders within Cyber Strategy.
Providing advice with end-to-end cyber solutions using ISO/IEC(International Organization for Standardization/International Electrotechnical Commision) 27001.
Building and maintaining strong relationships with various stakeholders and adding value to existing and new proposals.
I did a capstone project on a deep learning-based intrusion detection method that is robust against adversarial machine learning attacks.
I used the fast gradient sign method and projected gradient descent method as adversarial attacks.
The tools used were Python programming language for development, TensorFlow for creating Machine Learning Models, Keras, scikit-learn, and Adversarial Robustness Toolbox (ART). The dataset used is CICIDS2017.
The project produce an IT artifact that can detect adversarial examples in real time as an Intrusion Detection System using DNN and being robust against these attacks. The IT Artifact will produce better accuracy, and less false positives.