The article ‘Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence’ critically assesses 23 state-of-the-art LLM benchmarks. The authors highlight significant limitations, such as biases, difficulties…
Continue readingThe paper presents a new innovative approach to Multiple-criteria Decision Analysis (MCDA) in cybersecurity by integrating the Analytic Hierarchy Process (AHP) and Generative Pre-trained Transformer 4 (GPT-4). The study focuses…
Continue readingThe paper presents ‘CyberMetric’, a benchmark dataset composed of 10,000 questions from various cybersecurity sources. The dataset’s purpose is to assess and compare the knowledge of large language models (LLMs),…
Continue readingThe paper discusses the ongoing threat of ransomware, especially in Linux-based systems. It introduces GuardFS, a file system-based approach that not only detects but also mitigates ransomware threats. GuardFS uses…
Continue readingDespite various countermeasures, people continue to fall for phishing emails. This paper presents an empirical study that investigates how people make decisions when responding to emails. The study identifies different…
Continue readingThis article delves into the application of game theory in studying cyber attacker and defender behaviors. It critiques the inherent limitations due to game theory’s roots in economics where players…
Continue readingThe article presents a study introducing a cyber-twin framework to enhance the security of Roadside Units (RSUs) in Vehicular Ad-hoc Networks (VANETs). The framework combines digital twin technology with Artificial…
Continue readingDespite numerous countermeasures, people continue to fall victim to phishing emails. This article presents an empirical study conducted to understand the decision-making process when responding to emails. The study reveals…
Continue readingThis research conducted a user study to compare different computer system authentication methods, specifically regular password and picture authentication. The aim is to improve security in non-invasive ways that are…
Continue readingThe paper discusses the application of Graph Neural Networks (GNNs) in bolstering defensive cyber operations. With the growing complexity and evolution of cyber attacks, traditional defensive mechanisms are proving inadequate….
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