Summary
Overview
Work History
Education
Skills
Honorsandawards
Personal Information
References
Languages
Timeline
Generic

Sepideh Niktabe

Toronto,Canada

Summary

Ambitious and results-driven cybersecurity professional with a Master of Science in Computer Science, specializing in cybersecurity and intrusion detection. Demonstrated expertise in developing and optimizing security models, anomaly detection systems, and intrusion detection frameworks using advanced machine learning and deep learning techniques. Proficient in Python and experienced with various data science tools such as TensorFlow, Keras, and scikit-learn. Excellent communication, collaboration, and teamwork skills, honed through teaching and mentoring experiences. Passionate about learning and developing proficiency in cloud security and architecture, with hands-on experience in AWS services. Recognized for outstanding academic achievements and contributions to cybersecurity research. Committed to designing robust security solutions and improving system resilience against cyber threats.

Overview

2
2
years of professional experience

Work History

Teacher Helper

Graduate Cybersecurity Research Assistant

York University
05.2022 - Current
  • Developed NTLFlowLyzer, a Python open-source project, to extract network layer features from TCP-based traffic for anomaly profiling
  • It generates bidirectional flows, calculates statistical features separately for forward and backward directions, and includes functionalities for feature selection, addition, and flow timeout control
  • TCP flows terminate upon connection teardown, maximum duration, or inactivity timeout
  • (Github repo)
  • Developed an optimized IoT bot detection and identification model using XAI (SHAP), combining XGBoost with a novel feature selection method, and an LSTM neural network optimized via Bayesian Optimization
  • Achieved 0.9999 accuracy, precision, recall, and F1-score on the augmented BCCC-Aposemat-Bot-IoT-24 dataset, outperforming established models and excelling in handling sequential data, imbalanced datasets, and providing explainable insights
  • Model evaluation utilized AWS SageMaker and S3 storage for streamlined building, training, and deployment
  • Developed the 'BCCC-CIRA-CIC-DoHBrw-2020' dataset and innovative feature engineering method to profile DoH traffic, achieving over 93% accuracy using decision trees
  • This research addressed gaps in DoH traffic analysis, enhancing privacy and security profiling despite dataset limitations
  • (Article Link)
  • Developed statistical pattern recognition models using linear and logistic regression to profile benign and malicious DoH traffic, achieving up to 95.35% accuracy and 97.61% F1-score on the CIRA-CIC-DoHBrw-2020 dataset
  • The models offer advantages in computational efficiency, simplicity, and robustness, though performance may vary with different datasets
  • (Article Link)
  • Python
  • Dpkt

Graduate Teaching Assistant

York University
05.2022 - Current
  • Designed and delivered lab lectures and instructions, while helping students to write modular, robust software
  • Mentored and guided students during lab sessions, using my verbal and written communication skills

Education

M.Sc. in Computer Science -

York University
08.2024

B.Sc. in Computer Science -

Amirkabir University of Technology(Tehran Polytechnic)
04.2020

Skills

  • Machine Learning: TensorFlow, Keras, Numpy, Scipy, Pandas, scikit-learn, SHAP, pillow, tesseract, opencv
  • Python Project: pillow, tesseract, and opencv
  • MLOps: Git
  • Languages: Python: Python Classes and Inheritance, HTML/CSS, REST API: Data Collection and Processing with Python, Bash
  • Cloud: AWS: Introduction to AWS, AWS IAM: AWS Identity and Access Management (IAM) Concepts, Amazon S3, Amazon SageMaker
  • Databases: PostgreSQL, MySQL
  • Operating system: Linux (Ubuntu), Windows

Honorsandawards

  • York University Fellowship, C$62,500 for my master's studies
  • Ranked within top 1% in nationwide Iranian university entrance exam among 182,000 participants

Personal Information

Title: Cloud security Engineer

References

  • Arash Habibi Lashkari, ahabibil@yorku.ca, Department of Electrical Engineering and Computer Science, York University
  • Habib-ur Rehman, habibr@yorku.ca, Department of Electrical Engineering and Computer Science, York University
  • Pooria Madani, pooria.madani@ontariotechu.ca, Faculty of Business and Information Technology

Languages

English
Professional Working
German
Elementary
Persian
Native or Bilingual

Timeline

Graduate Cybersecurity Research Assistant

York University
05.2022 - Current

Graduate Teaching Assistant

York University
05.2022 - Current

Teacher Helper

M.Sc. in Computer Science -

York University

B.Sc. in Computer Science -

Amirkabir University of Technology(Tehran Polytechnic)

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Sepideh Niktabe