CV

Education

• B.S. in Computer Engineering, Karadeniz Technical University, 2010
• M.S. in Computer Engineering, Karadeniz Technical University, 2013
• Ph.D in Computer and Information Engineering, Sakarya University, 2020

Work experience

• 2021-Present: Asst. Prof. Dr.
  • Duzce University
• 2011-2021: Research Assistant
  • Duzce University

Research Interests

• Computer Networks
  • Software-Defined Networks
• Network Security
  • Intrusion Detection
• Machine Learning
  • Artificial Neural Networks
  • Support Vector Machines
  • Deep Learning
  • Anomaly Detection

Publications

An Augmented Reality Application for Computer Engineering Curriculum

ŞİMŞEK, M , TOKLU, S , ÖZSARAÇ, H , ZAVRAK, S , BAŞER, E , TAKGİL, B , KANBUR, Z . (2017). "An Augmented Reality Application for Computer Engineering Curriculum". International Journal of Informatics Technologies, 10 (1) , 47-0 . Retrieved from https://dergipark.org.tr/tr/pub/gazibtd/issue/27536/289674

Leakage detection and localization on water transportation pipelines: a multi-label classification approach

Kayaalp, F., Zengin, A., Kara, R., Zavrak, S. "Leakage detection and localization on water transportation pipelines: a multi-label classification approach". Neural Computing and Applications 28, 2905–2914 (2017). https://doi.org/10.1007/s00521-017-2872-4.

The implementation of two-factor web authentication system based on facial recognition

Zavrak, S., Yilmaz, S., Bodur, H., & Toklu, S. (2017). "The implementation of two-factor web authentication system based on facial recognition". Global Journal of Computer Sciences: Theory and Research, 7(2), 92-101.

Anomaly-Based Intrusion Detection From Network Flow Features Using Variational Autoencoder

S. Zavrak and M. İskefiyeli, "Anomaly-Based Intrusion Detection From Network Flow Features Using Variational Autoencoder", in IEEE Access, vol. 8, pp. 108346-108358, 2020, doi: 10.1109/ACCESS.2020.3001350

Development and implementation of an analysis tool for direct current electrical circuits

H. Pehlivan, C. Atalar, and S. Zavrak, Development and implementation of an analysis tool for direct current electrical circuits, Comput. Appl. Eng. Educ., vol. 29, no. 5, pp. 1071–1086, Sep. 2021, doi: 10.1002/cae.22361

Real-Time Monitoring and Scalable Messaging of SCADA Networks Data: A Case Study on Cyber-Physical Attack Detection in Water Distribution System

Balta, S., Zavrak, S., Eken, S. (2022). Real-Time Monitoring and Scalable Messaging of SCADA Networks Data: A Case Study on Cyber-Physical Attack Detection in Water Distribution System. In: Seyman, M.N. (eds) Electrical and Computer Engineering. ICECENG 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 436. Springer, Cham. https://doi.org/10.1007/978-3-031-01984-5_17

Flow-based intrusion detection on software-defined networks: a multivariate time series anomaly detection approach

Zavrak, S., Iskefiyeli, M. Flow-based intrusion detection on software-defined networks: a multivariate time series anomaly detection approach. Neural Comput & Applic (2023). https://doi.org/10.1007/s00521-023-08376-5

Email spam detection using hierarchical attention hybrid deep learning method

Zavrak, S., & Yilmaz, S. (2023). Email spam detection using hierarchical attention hybrid deep learning method. Expert Systems with Applications, 233, 120977. https://doi.org/10.1016/J.ESWA.2023.120977