World's Best Scientists 2026 revealed!
Mohammad Zulkernine

Mohammad Zulkernine

D-Index & Metrics

Computer Science

D-Index
32
Citations
5095
World Ranking
13069
National Ranking
503

Research.com Recognitions

  • 2013 - ACM Senior Member

Best Publications

  • Random-Forests-Based Network Intrusion Detection Systems

    Unknown

  • Anomaly Based Network Intrusion Detection with Unsupervised Outlier Detection

    Unknown

  • A hybrid network intrusion detection technique using random forests

    Unknown

  • A software implementation of a genetic algorithm based approach to network intrusion detection

    Ren Hui Gong;M. Zulkernine;P. Abolmaesumi

  • A Survey of Security Attacks in Information-Centric Networking

    Eslam G. AbdAllah;Hossam S. Hassanein;Mohammad Zulkernine

  • Mitigating program security vulnerabilities: Approaches and challenges

    Unknown

  • DIDMA: a distributed intrusion detection system using mobile agents

    Unknown

  • Network Intrusion Detection using Random Forests.

    Unknown

  • Attacks and Defenses in Short-Range Wireless Technologies for IoT

    Unknown

  • Preventing Cache-Based Side-Channel Attacks in a Cloud Environment

    Unknown

  • Trustworthiness testing of phishing websites: A behavior model-based approach

    Unknown

  • An anomaly intrusion detection method using the CSI-KNN algorithm

    Unknown

  • MUTEC: Mutation-based testing of Cross Site Scripting

    Unknown

  • Client-Side Detection of Cross-Site Request Forgery Attacks

    Unknown

  • CAT: a context-aware trust model for open and dynamic systems

    Mohammad Gias Uddin;Mohammad Zulkernine;Sheikh Iqbal Ahamed

  • S2XS2: A Server Side Approach to Automatically Detect XSS Attacks

    Unknown

  • A Server-Side Solution to Cache-Based Side-Channel Attacks in the Cloud

    Unknown

  • UMLintr: a UML profile for specifying intrusions

    Unknown

  • Routeguard: an intrusion detection and response system for mobile ad hoc networks

    A. Hasswa;M. Zulkernine;H. Hassanein

  • Multi-layer stacking ensemble learners for low footprint network intrusion detection

    Unknown

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