Samer Y. Khamaiseh, Ph.D.

 Professional photo of Samer Khamaiseh

Assistant Professor

017 Benton Hall 

Research Interests

  • Cybersecurity with the integration of Artificial Intelligence
  • Adversarial machine learning
  • Software-Defined Networking (SND)
  • Software security
  • Machine learning security
  • Network security


  • Ph.D. Cybersecurity
    • Boise State University, 2019
  • M.S. Computer Science
    • Boise State University, 2016
  • B.A. Computer Science
    • Yarmouk University, 2012

Research Bio

Samer Khamaiseh is an assistant professor of Computer Science and Software Engineering at Miami University. His research focuses on cybersecurity with the integration of Artificial Intelligence. Specifically, adversarial machine learning, Software-Defined Networking (SND), software security, machine learning security, and network security.

Dr. Khamaiseh's main research interest on the area of intrusion detection systems for SDN fabric; often applied deep learning techniques to develop smart DDoS detection and prevention systems. In addition, Dr.khamaiseh is applying adversarial machine learning attacks to develop adversarial traffic generation tools that penetrate real-life IDS/IPS systems. In the area of software security, His research focuses on integrating deep learning and knowledge graph on large-scale source code systems to develop state-of-the-art security vulnerability detection tools. Another area Dr.Khamasish is heavily focusing on is adversarial machine learning. Dr. Khamaiseh discovers two new attacks that defeat state-of-the-art image classification neural networks. 


  • Assistant Professor, Monmouth Universiy, September 2020 - June 2022
  • Assistant Professor, Midwestern State University, January 2020 - July 2020
  • Graduate Research Assistant, Boise State University, January 2015 - December 2019
  • Software Engineer, EtQ LLC, November 2012 - December 2014

Principle Publications

Journal Proceeding

  • S.Y. Khamaiseh, D. Bagagem, A. Al-Alaj, M. Mancino and H. W. Alomari, "Adversarial Deep Learning: A Survey on Adversarial Attacks and Defense Mechanisms on Image Classification," in IEEE Access, vol. 10, pp. 102266-102291, 2022, doi: 10.1109/ACCESS.2022.3208131.
  • Khamaiseh, S.; Al-Alaj, A.; Adnan, M.; Alomari, H.W. The Robustness of Detecting Known and Unknown DDoS Saturation Attacks in SDN via the Integration of Supervised and Semi-Supervised Classifiers. Future Internet 2022, 14, 164.
  • Z. Li, W. Xing, S. Khamaiseh and D. Xu, "Detecting Saturation Attacks Based on Self-Similarity of OpenFlow Traffic," in IEEE Transactions on Network and Service Management, vol. 17, no. 1, pp. 607-621, March 2020, doi: 10.1109/TNSM.2019.2959268.

Conference Proceeding

  • S.Y. Khamaiseh, A. Al-Alaj and A. Warner, "FloodDetector: Detecting Unknown DoS Flooding Attacks in SDN," 2020 International Conference on Internet of Things and Intelligent Applications (ITIA), 2020, pp. 1-5, doi: 10.1109/ITIA50152.2020.9312310.
  • S.Y. Khamaiseh, I. Alsmadi and A. Al-Alaj, "Deceiving Machine Learning-Based Saturation Attack Detection Systems in SDN," 2020 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 2020, pp. 44-50, doi: 10.1109/NFV-SDN50289.2020.9289908.
  • S.Khamaiseh, E. Serra and D. Xu, "vSwitchGuard: Defending OpenFlow Switches Against Saturation Attacks," 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), 2020, pp. 851-860, doi: 10.1109/COMPSAC48688.2020.0-157.
  • S.Khamaiseh, E. Serra, Z. Li and D. Xu, "Detecting Saturation Attacks in SDN via Machine Learning," 2019 4th International Conference on Computing, Communications and Security (ICCCS), 2019, pp. 1-8, doi: 10.1109/CCCS.2019.8888049.
  • S.Khamaiseh, P. Chapman and D. Xu, "Model-Based Testing of Obligatory ABAC Systems," 2018 IEEE International Conference on Software Quality, Reliability and Security (QRS), 2018, pp. 405-413, doi: 10.1109/QRS.2018.00054.
  • S.Khamaiseh and D. Xu, "Software Security Testing via Misuse Case Modeling," 2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), 2017, pp. 534-541, doi: 10.1109/DASC-PICom-DataCom-CyberSciTec.2017.98.
  • I. Alsmadi, S. Khamaiseh and D. Xu, "Network Parallelization in HPC Clusters," 2016 International Conference on Computational Science and Computational Intelligence (CSCI), 2016, pp. 584-589, doi: 10.1109/CSCI.2016.0116.

Professional Activties

Editorial Board

Guest-editor, Future Internet Journal - Special Issues "Software Defined Networking and Cyper Security".3(August/2020 - March 2022)

Organizing Committee and TPC Member

  • The 9th IEEE International Conference on Data Science and Advanced Analytics (DSAA), (session chair)
  • The Second International Symposium on Advanced Intelligent Systems for Cybersecurity (AISC2022)
  • The 2021 International Conference on Cyber-physical Social Intelligence (CSI)
  • The International Conference on Internet of Things and Intelligent Applications (ITIA2020)

Paper Reviewers

  • IEEE Transactions on Information Forensics and Security
  • IEEE Transactions on Network Science and Engineering
  • ACM Conference on Computer and Communications Security Posters and Demo (ACM CCS 2020)
  • IEEE International Conference on Data Science and Advanced Analytics