过去一年中添加的文章，按日期排序
Modeling and Detection of False Data Injection Attacks for State Estimation and Automatic Generation Control in Power Systems
M Du - 2024 - escholarship.mcgill.ca
7 天前 - … attacks, denial of service attacks, and resonance attacks, … need for real-time load
observability and forecast data, which … explain an innovative detection approach that leverages …
observability and forecast data, which … explain an innovative detection approach that leverages …
Comparative Analysis of Ensemble Based Learning and Hybrid Models for Improving DoS Attack Prediction Accuracy in Networking Environments
GS Rao - Solid State Technology, 2024 - mail.solidstatetechnology.us
42 天前 - … These attacks flood the targeted system with traffic from many sources, disrupting
… now requires real-time attack detection.. The current approach of detecting DDoS attacks is …
… now requires real-time attack detection.. The current approach of detecting DDoS attacks is …
Framework for Early Cyber Attack Detection Using ML Models Deployed On Fog Devices
KU Aditya, PN Kamath, Y Poral… - … Digital Forensics and …, 2024 - ieeexplore.ieee.org
73 天前 - … This calls for the need for novel attack detection methods … real-time attack detection
and detect a variety of attacks. … an Attack Detection System for detecting DDoS attacks. The …
and detect a variety of attacks. … an Attack Detection System for detecting DDoS attacks. The …
Application of Big Data and Artificial Intelligence in Public Network Information Security Management
R Li - … on Distributed Computing and Electrical Circuits and …, 2024 - ieeexplore.ieee.org
76 天前 - … , traditional network security protection methods have been … of DDoS attacks, and
analyzing user behavior in real time can … behavior in the automatic detection system. The final …
analyzing user behavior in real time can … behavior in the automatic detection system. The final …
An Adaptive Scalable Data Pipeline for Multiclass Attack Classification in Large-Scale IoT Networks
S Saravanan… - Big Data Mining and …, 2024 - ieeexplore.ieee.org
80 天前 - … attack patterns in real time and classify attacks in large-scale … For example, a DDoS
attack can be a principal attack at time … Hence, the attack detection system must continuously …
attack can be a principal attack at time … Hence, the attack detection system must continuously …
A Deep Learning-Based Intrusion Detection System for Securing Cloud Computing Environments Against Emerging Cyber Threats
MT Reyes - Journal of Sustainable Technologies and …, 2024 - publications.dlpress.org
86 天前 - … intrusion detection system is evaluated through extensive … terms of detection accuracy,
false positive rates, and real-time … offers a proactive and intelligent approach to detecting …
false positive rates, and real-time … offers a proactive and intelligent approach to detecting …
An adaptive distributed intrusion detection system in local network: Hybrid classification methods
A Hijazi, N Alhafez, I Al-khayat - Full Length Article, 2024 - americaspg.com
124 天前 - … attacks to solve the problem of SVM in processing huge sizes of data and detect
adaptive future threats to detect … distributed denial of services (DDOS) attacks in real-time. The …
adaptive future threats to detect … distributed denial of services (DDOS) attacks in real-time. The …
Effective Intrusion Detection System Using Deep Learning for DDoS Attacks
J Shaikh, YA Butt, HF Naqvi - The Asian Bulletin of Big Data …, 2024 - abbdm.com
128 天前 - … denial-of-service attacks detection method for Internet of Things networks. Journal of
Intelligent Systems, 32(1)… A deep learning based approach for DDoS attack detection in IoT-…
Intelligent Systems, 32(1)… A deep learning based approach for DDoS attack detection in IoT-…
[PDF][PDF] Introduction to network traffic anomaly detection in big data environments
E Frank, J Oluwaseyi - 2024 - researchgate.net
129 天前 - … , storage, retrieval, and real-time processing, and discuss the … detection, including
intrusion detection, DoS attack … Adversarial attacks aim to evade anomaly detection systems …
intrusion detection, DoS attack … Adversarial attacks aim to evade anomaly detection systems …
SDDA-IoT: storm-based distributed detection approach for IoT network traffic-based DDoS attacks
133 天前 - … , the majority of existing detection systems are developed using Hadoop and Spark
frameworks. They might not provide the same degree of real-time processing as Apache …
frameworks. They might not provide the same degree of real-time processing as Apache …