Mitigating IEC-60870-5-104 vulnerabilities: Anomaly detection in smart grid based on LSTM autoencoder
S Sathar, S Al-Kuwari, A Albaseer… - 2023 International …, 2023 - ieeexplore.ieee.org
Advanced Information Communication Technology (ICT) is used in smart grid systems to
introduce intelligence and efficiency, potentially outperforming conventional power systems …
introduce intelligence and efficiency, potentially outperforming conventional power systems …
Double-edged defense: Thwarting cyber attacks and adversarial machine learning in iec 60870-5-104 smart grids
H Teryak, A Albaseer, M Abdallah… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Smart grids (SGs), a cornerstone of modern power systems, facilitate efficient management
and distribution of electricity. Despite their advantages, increased connectivity and reliance …
and distribution of electricity. Despite their advantages, increased connectivity and reliance …
The Role of Deep Learning in Advancing Proactive Cybersecurity Measures for Smart Grid Networks: A Survey
N Abdi, A Albaseer, M Abdallah - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
As smart grids (SG) increasingly rely on advanced technologies like sensors and
communication systems for efficient energy generation, distribution, and consumption, they …
communication systems for efficient energy generation, distribution, and consumption, they …
FedPot: A Quality-Aware Collaborative and Incentivized Honeypot-Based Detector for Smart Grid Networks
A Albaseer, N Abdi, M Abdallah… - … on Network and …, 2024 - ieeexplore.ieee.org
Honeypot technologies provide an effective defense strategy for the Industrial Internet of
Things (IIoT), particularly in enhancing the Advanced Metering Infrastructure's (AMI) security …
Things (IIoT), particularly in enhancing the Advanced Metering Infrastructure's (AMI) security …
Detection of cyber-attacks on smart grids using improved VGG19 deep neural network architecture and Aquila optimizer algorithm
This study introduces an innovative smart grid (SG) intrusion detection system, integrating
Game Theory, swarm intelligence, and deep learning (DL) to protect against complex cyber …
Game Theory, swarm intelligence, and deep learning (DL) to protect against complex cyber …
物联网场景下基于蜜场的分布式网络入侵检测系统研究
吴昊， 郝佳佳， 卢云龙 - 通信学报, 2024 - infocomm-journal.com
为了解决物联网网络入侵检测系统无法识别新型攻击, 灵活性有限等问题,
基于蜜场提出了一种能有效识别异常流量和具备持续学习能力的网络入侵检测系统. 首先 …
基于蜜场提出了一种能有效识别异常流量和具备持续学习能力的网络入侵检测系统. 首先 …