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Faizan Qamar

Has grant

Senior Lecturer (Assistant Professor)

Universiti Kebangsaan Malaysia (UKM)

Malaysia

Research Interests

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Professors in Cybersecurity

Recent Grants

Grant: Close

An Adaptive Successive Interference Mitigation Technique Based on Zero-Forcing for an Efficient Real-Time Internet of Things (IoT) Network

Open Date: 2022-09-01

Close Date: 2024-08-01

Grant: Close

QoS connectivity with improved optimal routing and interference mitigation approaches for IoT-based ultra-dense networks

Open Date: 2021-09-01

Close Date: 2023-08-01

Grant: Open

Publication Reward

Open Date: 2021-08-01

Close Date: 2033-09-01

Grant: Close

An Adaptive Intrusion Detection System based Ensemble Classifier with Dynamic Neural Networks and Modified Cuttlefish.

Open Date: 2020-08-01

Close Date: 2023-01-01

Grant: Close

Implementing Quantum Algorithm for Least Squares Data Fitting Using IBM-Q.

Open Date: 2020-08-01

Close Date: 2023-01-01

Articles (20)

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2023

Collaborators (6)

Quang Nguyen

Asst. Professor

Waseda University

JAPAN

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Rosilah Hassan

Professor

Universiti Kebangsaan Malaysia (UKM)

MALAYSIA

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Edward Boahen

La Trobe University

AUSTRALIA

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Khairul Azmi Abu Bakar

Senior Lecturer

Universiti Kebangsaan Malaysia (UKM)

MALAYSIA

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Siti Norul Huda Sheikh Abdullah

Associate Professor

Universiti Kebangsaan Malaysia (UKM)

MALAYSIA

View details

Sundus Ali

Assistant Professor

NED University of Engineering and Technology

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Faizan Qamar

Research Interests

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Recent Grants

Articles (20)

Edge- Federated Graph Anomaly Detection With Self-Supervised Representation Learning for IoT Networks

Graph Neural Networks for IoMT Intrusion Detection: Modeling Architectures, Learning Paradigms, and Deployment Challenges

Dual semantic consistency module for domain generalizable face anti-spoofing

A Review of Automatic Identification System Approaches for Maritime Cyber Security

Predicting IoT Privacy Concerns From Tweets Through BERTweet-Based Fusion of Psycholinguistic Big Five and Risk Features: Toward Integration With IoT Security Frameworks

Systematic Analysis of Federated Learning Approaches for Intrusion Detection in the Internet of Things Environment

Threat detection in the 6G enabled Industrial IoT Networks using Deep Learning: A review on the state-of-the-art solutions, challenges and future research directions

Anomaly Detection Model in Network Security Situational Awareness Based on Machine Learning: Limitation, Techniques, and Future Trends

FOCC: A Synthetically Balanced Federated One-Class-Classification for Cyber Threat Intelligence in Software Defined Networking

Federated Conditional Variational Auto Encoders for Cyber Threat Intelligence: Tackling Non-IID Data in SDN Environments

Minimizing Power Consumption and Interference Mitigation of Downlink NOMA HetNets by IRS-Supported Aerial Base Stations

Multi-Antenna Array-Based Massive MIMO for B5G/6G: State of the Art, Challenges, and Future Research Directions

Security of federated learning in 6G era: A review on conceptual techniques and software platforms used for research and analysis

A BiLSTM-Based Feature Fusion With CNN Model: Integrating Smartphone Sensor Data for Pedestrian Activity Recognition

Interference Mitigation Based on Joint Optimization of NTBS 3D Positions and RIS Reflection in Downlink NOMA HetNets

Interference Mitigation for Reconfigurable Intelligent Surface (RIS)-Aided Non-terrestrial Base Station (NTBS) in NOMA Downlink HetNets

Toward Efficient 6G IoT Networks: A Perspective on Resource Optimization Strategies, Challenges, and Future Directions

Analysis of AgRED Performance in LR-WPAN Dense Ad-Hoc Networks

Security Concepts in Emerging 6G Communication: Threats, Countermeasures, Authentication Techniques and Research Directions

A Deep Learning Approach to Online Social Network Account Compromisation

Collaborators (6)

Quang Nguyen

Rosilah Hassan

Edward Boahen

Khairul Azmi Abu Bakar

Siti Norul Huda Sheikh Abdullah

Sundus Ali

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