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Arif Khan

Sub Dean (Graduate Studies)

Charles Sturt University

Australia

Research Interests

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Professors in Australia Professors in Cybersecurity Cybersecurity professors in Australia

About

Arif Khan is an Associate Professor at Charles Sturt University in Australia. His research areas include machine learning applications in network security, resource allocation for Internet of Everything (IoE) edge networks, and low-power Internet of Things (IoT) devices. Recent articles authored by him explore the intersection of intelligence with modern technology, including models for signal strength estimation and ransomware detection systems.

Articles (34)

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Collaborators (15)

M. Shamim Hossain

Professor (full)

king saud university

SAUDI ARABIA

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Sabih ur Rehman

Senior Lecturer/ Course Director

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Arif Khan

Research Interests

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About

Articles (34)

An LLM-Enabled Multimodal Agentic AI Framework for the Medical Internet of Things (MIoT)

RADAR

Robust Cyber Threat Intelligence analysis under perturbed attack conditions

A scalable cryptographic privacy-preserving authentication system for healthcare applications

Cyber Threat Intelligence Based Resource Allocation Model for IoE-Edge

HOTA

Encrusted suprapubic catheter in urethral injury with pulmonary embolism

Impact of Differentials in SIMON32 Algorithm for Lightweight Security of Internet of Things

RAID-Crypt: Rounding Alignment of Intermediate Differentials for Cryptanalysis of Lightweight Encryption

Network state prediction and fault detection in IoT using Green's Theorem and Maxwell's equations

Mechanism-Oriented Interpretation of Electrical Degradation Indicators in Wide-Bandgap Power Transistors

How intelligence is reshaping today

A Lightweight Received Signal Strength Indicator Estimation Model for Low-Power Internet of Things Devices in Constrained Indoor Networks

Using intelligence in resource allocation and task off-loading for the IoE-edge networks

Machine Learning Based Channel Estimation for Low-Power Internet of Things (LP-IoT) Devices: A Probabilistic Analysis

iCNN-LSTM+: A Batch-Based Incremental Ransomware Detection System Using Sysmon

Cyber vulnerabilities and technical regulation of China-made CCTV IoT surveillance cameras in Australia

Towards Technology-Based Regulation of China-Made IoT Surveillance IP Cameras: The Case Study of Australia

Addressing inadequate forensic training and resources for law enforcement national strategy in drone based investigations

A comprehensive survey on deep learning solutions for 3D flood mapping

GTFD protocol for fault-detection and self-stabilization in wireless sensor networks

Wireless Channel Estimation for Low-Power IoT Devices Using Real-Time Data

Association of litter size with the ruminal microbiome structure and metabolomic profile in goats

Ransomware Detection Using Machine Learning: A Review, Research Limitations and Future Directions

Leveraging AI for Network Threat Detection—A Conceptual Overview

Lightweight Cryptanalysis of IoT Encryption Algorithms: Is Quota Sampling the Answer?

Security and Privacy for Low Power IoT Devices on 5G and Beyond Networks: Challenges and Future Directions

Resource Allocation and Task Off-Loading for 6G Enabled Smart Edge Environments

Federation based joint client and server side Machine Learning for 5G and beyond Wireless Channel Estimation

Optical phase conjugation with dual frame OFDM for dispersion and nonlinearity mitigation over multimode fiber

Machine Learning Techniques for 5G and Beyond

Investigating Smart Home Security: Is Blockchain the Answer?

Investigation of Deterministic, Statistical and Parametric NB-PLC Channel Modeling Techniques for Advanced Metering Infrastructure

Investigation of deterministic, statistical and parametric NB-PLC channel modeling techniques for advanced metering infrastructure

Collaborators (15)

M. Shamim Hossain

Sabih ur Rehman

Bin Liang

M. Abdur Rahman

Md. Rafiqul Islam

Mubarak Alrashoud

Lihong Zheng

Tanmoy Debnath

Zahid Islam

Syed Usman Jamil

Jamil Ispahany

Tanveer Zia

Khurram Shahzad

Tauqeer Hussain Mallhi

Ausma Bernot

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