Deep echo state networks for detecting internet worm and ransomware attacks
With the advancement of technology over the last decade, there has been a rapid increase
in the number and types of malware attacks such as worms whose primary function is to self …
in the number and types of malware attacks such as worms whose primary function is to self …
Case Study: Understanding Internet Anomalies
HK Takhar, LF Oliveira… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Machine learning algorithms have been applied to address a variety of engineering and
scientific problems. The Internet has historically been prone to failures and attacks that …
scientific problems. The Internet has historically been prone to failures and attacks that …
[PDF][PDF] Machine learning for classifying anomalies and intrusions in communication networks
Z Li - 2022 - summit.sfu.ca
Cyber attacks are becoming more sophisticated and, hence, more difficult to detect. Using
efficient and effective machine learning techniques to detect network anomalies and …
efficient and effective machine learning techniques to detect network anomalies and …
[PDF][PDF] Lightweight Intrusion Detection Using Reservoir Computing
J Deng, W Shen, Y Feng, G Lu, G Shen, L Cui, S Lyu - cdn.techscience.cn
The blockchain-empowered Internet of Vehicles (IoV) enables various services and
achieves data security and privacy, significantly advancing modern vehicle systems …
achieves data security and privacy, significantly advancing modern vehicle systems …