Malka N. Halgamuge

Senior Lecturer (Cybersecurity)

RMIT University

Australia

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Malka N. Halgamuge is a Senior Lecturer in Cybersecurity at RMIT University in Australia. Her research primarily focuses on generative artificial intelligence, cybersecurity frameworks, and the evolving landscape of IoT security policies. Recent publications include works on chaotic semantic states of AI, ransomware trends, and large language model benchmarks.

Malka N. Halgamuge

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Articles (23)

Over the Edge of Chaos? Excess Complexity as a Roadblock to Artificial General Intelligence

Modeling the Chaotic Semantic States of Generative Artificial Intelligence (AI): A Quantum Mechanics Analogy Approach

From Google Gemini to OpenAI Q* (Q-Star): A Survey on Reshaping the Generative Artificial Intelligence (AI) Research Landscape

Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence

Ransomware Reloaded: Re-examining Its Trend, Research and Mitigation in the Era of Data Exfiltration

A Culturally Sensitive Test to Evaluate Nuanced GPT Hallucination

A Reasoning and Value Alignment Test to Assess Advanced GPT Reasoning

From COBIT to ISO 42001: Evaluating cybersecurity frameworks for opportunities, risks, and regulatory compliance in commercializing large language models

Adaptive edge security framework for dynamic IoT security policies in diverse environments

A Culturally Sensitive Test to Evaluate Nuanced GPT Hallucination

A Game-Theoretic Approach to Containing Artificial General Intelligence: Insights from Highly Autonomous Aggressive Malware

Leveraging Deep Learning to Strengthen the Cyber-Resilience of Renewable Energy Supply Chains: A Survey

Malicious Data Traceability and Throughput Optimization Using Blockchain (IOTA Smart Contracts) for Next Generation Internet of Vehicles

Supply chain traceability and counterfeit detection of COVID-19 vaccines using novel blockchain-based Vacledger system

Time Estimation for a New Block Generation in Blockchain-Enabled Internet of Things

Estimation of the success probability of a malicious attacker on blockchain-based edge network

Fair rewarding mechanism in music industry using smart contracts on public-permissionless blockchain

Optimization framework for Best Approver Selection Method (BASM) and Best Tip Selection Method (BTSM) for IOTA tangle network: Blockchain-enabled next generation Industrial IoT

Lightweight blockchain framework using enhanced master-slave blockchain paradigm

Robust Ensemble Machine Learning Model for Filtering Phishing URLs: Expandable Random Gradient Stacked Voting Classifier (ERG-SVC)

Robust Ensemble Machine Learning Model for Filtering Phishing URLs: Expandable Random Gradient Stacked Voting Classifier (ERG-SVC)

Best optimizer selection for predicting bushfire occurrences using deep learning

Supervised Machine Learning Algorithms for Bioelectromagnetics: Prediction Models and Feature Selection Techniques Using Data from Weak Radiofrequency Radiation Effect on Human and Animals Cells

Collaborators (5)

Alex NG

Teo Susnjak

Paul Watters

Napoleon Reyes

Nalin Arachchilage

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