I am pursuing a Master's degree in Information Systems Security at Concordia University. My research is about finding vulnerabilities in software by applying Machine Learning methods. More precisely, right now I am working on vulnerable code clones detection in JavaScript. My supervisors are Dr. M. Mannan, and Dr. A. Youssef.
Providing cybersecurity services to organizations. This included compliance audits for ISO27001, GDPR, PCI DSS and others, Vulnerability assessment, security awareness trainings etc.
Comparing efficiency of Deep Learning Algorithms in predicting attack patterns in network traffic.
Implementing McAfee solutions to security systems. I worked mainly with the DXL and OpenDXL technologies.
Developing a website for a fitness club on React framework : http://fitnesscity.in.ua
Developing an Enterprise document management system
CGPA: 4.2
Javascript vulnerabilities, code clone detection, Software vulnerabilities detection with Machine Learning.
Wireless network security, Vulnerabilities of Wi-Fi and the protocols WEP, WPA, WPA2/3.
Secure communication channels for IoT devices.
Survey of vulnerabilities, weaknesses and threats of Wi-Fi networks. Development of a scanning program, which records information on accessible public networks. Data gathering with this program in Kyiv's public places. Data analysis and conclusions on average security state of public networks in Kyiv.
Studying variety of deep learning algorithms to have a broad understanding of state-of-art solutions to cybersecurity problems. In specific, classification of network traffic as anomaly and normal
Survey on the protocols and channels between devices in IoT. OpenDXL (open data exchange layer) solution as a way of communication between smart devices on software level.
Developing physical and network architecture for Information protection in the organisation, which restors information from damaged hardware. It has access to information, classified as "secret".