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Computer Science

D-Index
39
Citations
9988
World Ranking
9557
National Ranking
595

Overview

Sakir Sezer is affiliated with Queen's University Belfast in the United Kingdom. Their research spans several interconnected fields primarily within computer science and engineering. The main areas of study include signal processing, electrical and electronic engineering, control and systems engineering, computer networks and communications, and artificial intelligence.

The scientist's work focuses on topics related to advanced malware detection techniques, network security and intrusion detection, smart grid security and resilience, vehicular ad hoc networks (VANETs), spam and phishing detection, security and verification in computing, and privacy-preserving technologies in data.

Frequent co-authors collaborating with Sakir Sezer include Kieran McLaughlin, Fahad Siddiqui, Domhnall Carlin, Rafiullah Khan, and Fatih Kurugöllü.

Several publication venues have featured the scientist's work, with notable contributions to arXiv (Cornell University), Computers & Security, IEEE Transactions on Vehicular Technology, International Journal of Critical Infrastructure Protection, and Journal of Information Security and Applications.

Recent published papers include:

  • NOTRINO: A NOvel Hybrid TRust Management Scheme for INternet-of-Vehicles, 2021, IEEE Transactions on Vehicular Technology
  • MaldomDetector: A system for detecting algorithmically generated domain names with machine learning, 2020, Computers & Security
  • Vulnerability analysis of S7 PLCs: Manipulating the security mechanism, 2021, International Journal of Critical Infrastructure Protection
  • MFMCNS: a multi-feature and multi-classifier network-based system for ransomworm detection, 2022, Computers & Security
  • A Model-Free Approach to Intrusion Response Systems, 2022, Journal of Information Security and Applications

Best Publications

  • Are we ready for SDN? Implementation challenges for software-defined networks

    S. Sezer;Sandra Scott-Hayward;P. K. Chouhan;B. Fraser

  • A Survey of Security in Software Defined Networks

    Sandra Scott-Hayward;Sriram Natarajan;Sakir Sezer

  • Sdn Security: A Survey

    Sandra Scott-Hayward;Gemma O'Callaghan;Sakir Sezer

  • Deep Android Malware Detection

    Niall McLaughlin;Jesus Martinez del Rincon;BooJoong Kang;Suleiman Yerima

  • A Multimodal Deep Learning Method for Android Malware Detection Using Various Features

    TaeGuen Kim;BooJoong Kang;Mina Rho;Sakir Sezer

  • DL-Droid: Deep learning based android malware detection using real devices

    Mohammed K. Alzaylaee;Suleiman Y. Yerima;Sakir Sezer

  • A New Android Malware Detection Approach Using Bayesian Classification

    S. Y. Yerima;S. Sezer;G. McWilliams;I. Muttik

  • Obfuscation: The Hidden Malware

    P. O'Kane;S. Sezer;K. McLaughlin

  • STRIDE-based threat modeling for cyber-physical systems

    Rafiullah Khan;Kieran McLaughlin;David Laverty;Sakir Sezer

  • STPA-SafeSec: Safety and Security Analysis for Cyber-Physical Systems

    Ivo Friedberg;Kieran McLaughlin;Paul Smith;David M. Laverty

  • DroidFusion: A Novel Multilevel Classifier Fusion Approach for Android Malware Detection

    Suleiman Y. Yerima;Sakir Sezer

  • High Accuracy Android Malware Detection Using Ensemble Learning

    Suleiman Y. Yerima;Sakir Sezer;Igor Muttik

  • Multiattribute SCADA-Specific Intrusion Detection System for Power Networks

    Y. Yang;K. McLaughlin;S. Sezer;T. Littler

  • Analysis of Bayesian classification-based approaches for Android malware detection

    Suleiman Y. Yerima;Sakir Sezer;Gavin McWilliams

  • Multidimensional Intrusion Detection System for IEC 61850-Based SCADA Networks

    Yi Yang;Hai-Qing Xu;Lei Gao;Yu-Bo Yuan

  • Threat analysis of BlackEnergy malware for synchrophasor based real-time control and monitoring in smart grid

    Rafiullah Khan;Peter Maynard;Kieran McLaughlin;David Laverty

  • Android Malware Detection Using Parallel Machine Learning Classifiers

    Suleiman Y. Yerima;Sakir Sezer;Igor Muttik

  • A Multi-Classifier Network-Based Crypto Ransomware Detection System: A Case Study of Locky Ransomware

    Ahmad O. Almashhadani;Mustafa Kaiiali;Sakir Sezer;Philip O'Kane

  • Man-in-the-Middle Attack Test-bed Investigating Cyber-security Vulnerabilities in Smart Grid SCADA Systems

    Y. Yang;K. McLaughlin;T. Littler;S. Sezer

  • Impact of cyber-security issues on Smart Grid

    Y. Yang;Tim Littler;S. Sezer;K. McLaughlin

  • Evolution of ransomware

    Philip O'Kane;Sakir Sezer;Domhnall Carlin

Frequent Co-Authors

Maire O'Neill
Maire O'Neill Queen's University Belfast
Mark A. Tully
Mark A. Tully University of Ulster
Ashish Kapoor
Ashish Kapoor Microsoft (United States)
Huiyu Zhou
Huiyu Zhou University of Leicester
Awais Rashid
Awais Rashid University of Bristol
Chris Hankin
Chris Hankin Imperial College London
Yu Hen Hu
Yu Hen Hu University of Wisconsin–Madison
Vincent Fusco
Vincent Fusco Queen's University Belfast
Earl E. Swartzlander
Earl E. Swartzlander The University of Texas at Austin
Hannu Tenhunen
Hannu Tenhunen Royal Institute of Technology

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