Ransomware reloaded: Re-examining its trend, research and mitigation in the era of data exfiltration
Ransomware has grown to be a dominant cybersecurity threat by exfiltrating, encrypting, or
destroying valuable user data and causing numerous disruptions to victims. The severity of …
destroying valuable user data and causing numerous disruptions to victims. The severity of …
[HTML][HTML] A survey on large language model (llm) security and privacy: The good, the bad, and the ugly
Abstract Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized
natural language understanding and generation. They possess deep language …
natural language understanding and generation. They possess deep language …
[HTML][HTML] From cobit to iso 42001: Evaluating cybersecurity frameworks for opportunities, risks, and regulatory compliance in commercializing large language models
This study investigated the integration readiness of four predominant cybersecurity
Governance, Risk and Compliance (GRC) frameworks–NIST CSF 2.0, COBIT 2019, ISO …
Governance, Risk and Compliance (GRC) frameworks–NIST CSF 2.0, COBIT 2019, ISO …
Inadequacies of large language model benchmarks in the era of generative artificial intelligence
TR McIntosh, T Susnjak, N Arachchilage, T Liu… - ar** the generative artificial intelligence (ai) research landscape
This comprehensive survey explored the evolving landscape of generative Artificial
Intelligence (AI), with a specific focus on the transformative impacts of Mixture of Experts …
Intelligence (AI), with a specific focus on the transformative impacts of Mixture of Experts …
Optimizing alignment with progressively selective weight enhancement in large language models
H Monota, Y Shigeta - 2024 - authorea.com
The rapid proliferation of AI-driven technologies has demonstrated the need for models that
not only perform well but also align with ethical standards and user expectations. The …
not only perform well but also align with ethical standards and user expectations. The …
Optimizing blue team strategies with reinforcement learning for enhanced ransomware defense simulations
S Wang, Y Li, F Chen - Authorea Preprints, 2024 - authorea.com
Ransomware has rapidly evolved into one of the most significant threats to organizational
cybersecurity, with its ability to disrupt operations and cause extensive financial and data …
cybersecurity, with its ability to disrupt operations and cause extensive financial and data …
Automating research synthesis with domain-specific large language model fine-tuning
This research pioneers the use of fine-tuned Large Language Models (LLMs) to automate
Systematic Literature Reviews (SLRs), presenting a significant and novel contribution in …
Systematic Literature Reviews (SLRs), presenting a significant and novel contribution in …
Local government cybersecurity landscape: A systematic review and conceptual framework
Local governments face critical challenges in the era of digital transformation, balancing the
responsibility of safeguarding resident information and administrative documents while …
responsibility of safeguarding resident information and administrative documents while …