This study aims to predict TCP security action based on the TCP transmission characteristics dataset provided by UCI machine learning repository by implementing machine learning …

Jun 11, 2019 · How to choose the right machine learning method for a specific networking problem? There are many ways to approach the traffic prediction, classification and detection …

By using machine learning, firewall can process the data more quickly and make decisions on which packets to allow or block. Moreover, it will be able to detect and block new and …

Dec 1, 2020 · Although machine learning [9] has some improvement on NER tasks in network security, it requires network security researchers to label security data, which is extremely costly.

• Transparency in model decision-making is crucial to avoid bias and discrimination. • Organizations must ensure that security measures do not infringe on user privacy rights. …

With the continuous growth of Internet technology and the increasingly broadening applications of The Internet, network security incidents as well as cyber-attacks are also showing a growing …

Threads [IEEE] Machine-Learning Based TCP Security Action Prediction Copy PeterKonde Post time 2022-6-21 02:05:00| Show all posts | Read mode Reward 10 points finished Assistant …

Our proposed solution uses several different machine learning techniques to predict the TCP firewall action on the basis of the transmission charac-terisitics of the TCP model. The main …

One essential component of computer network security is the Transmission Control Protocol (TCP) firewall. This security device plays a crucial role in enabling or forbidding the flow of …

TCP security-based action prediction involves utilizing advanced algorithms and machine learning techniques to enhance the security of Transmission Control Protocol (TCP) communications.