RESEARCHER PROFILE

Ban Mohammed Khammas

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B

Nahrain University

Advanced Malware Detection TechniquesNetwork Security and Intrusion DetectionSpam and Phishing DetectionSecurity and Verification in ComputingInternet Traffic Analysis and Secure E-voting

Ban Mohammed Khammas works in Advanced Malware Detection Techniques, Network Security and Intrusion Detection, Spam and Phishing Detection, Security and Verification in Computing, Internet Traffic Analysis and Secure E-voting. Recorded institutional associations include Nahrain University.

29Publications
759Citations
8H-index

ORCID

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems

    2022 · 465 citations

  2. Ransomware Detection using Random Forest Technique

    2020 · 146 citations

  3. FEATURE SELECTION AND MACHINE LEARNING CLASSIFICATION FOR MALWARE DETECTION

    2015 · 43 citations

  4. Incorporating known malware signatures to classify new malware variants in network traffic

    2015 · 13 citations

  5. Comparative analysis of various machine learning algorithms for ransomware detection

    2022 · 11 citations

  6. Metamorphic Malware Detection Based on Support Vector Machine Classification of Malware Sub-Signatures

    2016 · 11 citations

  7. Pre-filters in-transit malware packets detection in the network

    2019 · 10 citations

  8. The Performance of IoT Malware Detection Technique Using Feature Selection and Feature Reduction in Fog Layer

    2020 · 8 citations

  9. Malware Detection using Sub-Signatures and Machine Learning Technique

    2018 · 8 citations

  10. First Line Defense Against Spreading New Malware in the Network

    2018 · 7 citations

  11. Accuracy Improved Malware Detection Method using Snort Sub-signatures and Machine Learning Techniques

    2018 · 7 citations

  12. AN EFFECTIVE AND EFFICIENT FEATURES VECTORS FOR RANSOMWARE DETECTION VIA MACHINE LEARNING TECHNIQUE

    2022 · 5 citations

  13. Performance Evaluation of Deep Learning Techniques in The Detection of IOT Malware

    2024 · 4 citations

  14. Design Neural Wireless Sensor Network Using FPGA

    2012 · 4 citations

  15. IoT Malware Detection Technique Based on Deep Learning and Natural Language Processing

    2023 · 3 citations

  16. Obfuscated computer virus detection using machine learning algorithm

    2019 · 3 citations

  17. Hybrid Evolutionary Approach in Feature Vector for Ransomware Detection

    2021 · 2 citations

  18. Online traffic classification for malicious flows using efficient machine learning techniques

    2021 · 2 citations

  19. Ambiguity and concepts in real time online internet traffic classification

    2014 · 2 citations

  20. Design a Fault Tolerance for Real Time Distributed System

    2012 · 2 citations

  21. Image-Based IoT Malware Detection Method Using Deep CNNs

    2024 · 1 citations

  22. Simplified review on cyber security threats detection in IoT environment using deep learning approach

    2023 · 1 citations

  23. Comparative analysis of various machine learning algorithms for ransomware detection

    2021 · 1 citations

  24. ONLINE PEER-TO-PEER TRAFFIC IDENTIFICATION BASED ON COMPLEX EVENTS PROCESSING OF TRAFFIC EVENT SIGNATURES

    2016 · 1 citations

  25. FPGA Based Neural Wireless Sensor Network

    2012 · 1 citations

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