J Cui, L Zong, J Xie, M Tang - Applied Intelligence, 2023 - Springer
The high dimension, complexity, and imbalance of network data are hot issues in the field of intrusion detection. Nowadays, intrusion detection systems face some challenges in …
As the rapid development of information and communication technology systems offers limitless access to data, the risk of malicious violations increases. A network intrusion …
MO Miah, SS Khan, S Shatabda… - 2019 1st international …, 2019 - ieeexplore.ieee.org
Network intrusion classification int he imbalanced big data environment becomes a significant and important issue in information and communications technology (ICT) in this …
The widespread acceptance and increase of the Internet and mobile technologies have revolutionized our existence. On the other hand, the world is witnessing and suffering due to …
B Cao, C Li, Y Song, Y Qin, C Chen - Applied Sciences, 2022 - mdpi.com
A network intrusion detection model that fuses a convolutional neural network and a gated recurrent unit is proposed to address the problems associated with the low accuracy of …
S Al, M Dener - Computers & Security, 2021 - Elsevier
The ability to process large amounts of data in real time using big data analytics tools brings many advantages that can be used in intrusion detection systems. Deep learning …
Y Fu, Y Du, Z Cao, Q Li, W Xiang - Electronics, 2022 - mdpi.com
With an increase in the number and types of network attacks, traditional firewalls and data encryption methods can no longer meet the needs of current network security. As a result …
Recently, cybersecurity threats have increased dramatically, and the techniques used by the attackers continue to evolve and become ingenious during the attack. Moreover, the …
Cybersecurity has emerged as a critical global concern. Intrusion Detection Systems (IDS) play a critical role in protecting interconnected networks by detecting malicious actors and …