A survey of large language models for cyber threat detection

Y Chen, M Cui, D Wang, Y Cao, P Yang, B Jiang… - Computers & …, 2024 - Elsevier
With the increasing complexity of cyber threats and the expanding scope of cyberspace,
there exist progressively more challenges in cyber threat detection. It's proven that most …

A Comprehensive Survey on the Security of Smart Grid: Challenges, Mitigations, and Future Research Opportunities

A Zibaeirad, F Koleini, S Bi, T Hou, T Wang - arXiv preprint arXiv …, 2024 - arxiv.org
In this study, we conduct a comprehensive review of smart grid security, exploring system
architectures, attack methodologies, defense strategies, and future research opportunities …

Review and outlook on reinforcement learning: Its application in agricultural energy internet

X Fu, J Zhang, X Bai, X Chang… - IET Renewable Power …, 2024 - Wiley Online Library
Abstract Agricultural Energy Internet (AEI), representing a key evolutionary direction in the
integrated energy landscape of rural regions, holds a vital position in advancing the …

Energy-Efficient IoT with Deep Learning: Optimizing Resource Allocation in Smart Grids

R Mishra, VV Desai, R Krishnamoorthy… - … on Smart Structures …, 2023 - ieeexplore.ieee.org
The integration of Internet of Things (IoT) technology with deep reinforcement learning
(DRL) has emerged as a transformative approach in the realm of smart grid management …

A Survey of Large Language Models for Cyber Threat Detection

MJ Cui, D Wang, Y Cao, P Yang, B Jiang, Z Lu, B Liu - papers.ssrn.com
With the increasing complexity of cyber threats and the expanding scope of cyberspace,
there exist progressively more challenges in cyber threat detection and discovery. It's proven …