Maryna Kluban

+38(096) 602-6537 ยท m_kluban@encs.concordia.ca

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.


Work Experience

Cybersecurity Consultant

10 Guards LLC

Providing cybersecurity services to organizations. This included compliance audits for ISO27001, GDPR, PCI DSS and others, Vulnerability assessment, security awareness trainings etc.

September 2019 - June 2020

Research Intern

Concordia University

Comparing efficiency of Deep Learning Algorithms in predicting attack patterns in network traffic.

June 2019 - August 2019

Cybersecurity engineer

BakoTech

Implementing McAfee solutions to security systems. I worked mainly with the DXL and OpenDXL technologies.

February 2019 - May 2019

Front end developer

FitnessCity

Developing a website for a fitness club on React framework : http://fitnesscity.in.ua

October 2018 - December 2018

Junior Front end developer

Andersen

Developing an Enterprise document management system

October 2018 - December 2018

Education

Concordia University, Montreal

The Master of Applied Science in Information Systems Security
September 2020 - Present

Taras Shevchenko National University of Kyiv

Bachelor of Information Security Management

CGPA: 4.2

September 2016 - May 2020

Kyiv Gymnasium 191

2005 - 2016

Skills

Cybersecurity
  • Network architectures and protocols
  • Cryptography
  • Python
  • Kali Linux
  • Wireless networking
  • Standards and regulations
  • Organizational security
Front end
  • Angular 2+
  • React
  • TypeScript
  • HTML/CSS
Other
  • Machine Learning (Deep Learning)
  • Arduino
  • Business Analysis
  • Technical, academical writing

Research Interests

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.


Research work

Personal Data Protection In Public Wireless Networks

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.

January 2020 - May 2020
Deep Learning for Cyber-Physical Security in Smart World

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

June 2019 - August 2019
Secure communication channels in IoT

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.

February 2019 - May 2019
Complex Information Protection System for 2 level security clearance

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".

September 2018 - December 2018