Cloud Network Anomaly Detection Using Machine and Deep Learning Techniques-Recent Research Advancements
A Abdallah, A Alkaabi, G Alameri, SH Rafique… - IEEE …, 2024 - ieeexplore.ieee.org
In the rapidly evolving landscape of computing and networking, the concepts of cloud
networks have gained significant prominence. Although the cloud network offers on-demand …
networks have gained significant prominence. Although the cloud network offers on-demand …
Reinforcement Learning-based Generative Security Framework for Host Intrusion Detection
Y Kim, SY Hong, S Park, HK Kim - IEEE Access, 2025 - ieeexplore.ieee.org
Protecting users' systems from evolving cybercrime is becoming increasingly challenging.
Attackers create more complicated attack patterns and configure attack behavior to resemble …
Attackers create more complicated attack patterns and configure attack behavior to resemble …
A bizarre synthesized cascaded optimized predictor (BizSCOP) model for enhancing security in cloud systems
RJ Menezes, PJ Jayarin, AC Sekar - Journal of Cloud Computing, 2024 - Springer
Due to growing network data dissemination in cloud, the elasticity, pay as you go options,
globally accessible facilities, and security of networks have become increasingly important …
globally accessible facilities, and security of networks have become increasingly important …
Ab‐HIDS: An anomaly‐based host intrusion detection system using frequency of N‐gram system call features and ensemble learning for containerized environment
Cloud's operating‐system‐level virtualization has introduced a new phase of lightweight
virtualization through containers. The architecture of cloud‐native and microservices‐based …
virtualization through containers. The architecture of cloud‐native and microservices‐based …
Design of intrusion detection and response mechanism for power grid SCADA based on improved LSTM and FNN
Y Huang, L Su - IEEE Access, 2024 - ieeexplore.ieee.org
The current behavior pattern extraction methods in intrusion detection systems cannot fully
extract information. To improve the accuracy of such systems, the study first uses sequence …
extract information. To improve the accuracy of such systems, the study first uses sequence …
Deep Learning-Based Modeling of Demand Response with Bilateral Uncertainty of Source and Load
Y Guo, X Li, Q Rao, J Huang… - … Conference on Power …, 2024 - ieeexplore.ieee.org
With the rapid development of smart grid and renewable energy, source-load bilaterally
uncertainty puts higher requirements on the stability and reliability of power systems. In this …
uncertainty puts higher requirements on the stability and reliability of power systems. In this …