Intrusion detection is the core topic of network security, and the intrusion detection algorithm
based on deep learning has become a research hotspot in network security. In this paper, a …

With the continuous development of computer network technology, security problems in the
network are emerging one after another, and it is becoming more and more difficult to …

Due to increase in intrusion activities over internet, many intrusion detection systems are
proposed to detect abnormal activities, but most of these detection systems suffer a common …

In recent years, due to the emergence of boundless communication paradigm and increased
number of networked digital devices, there is a growing concern about cybersecurity which …

Cyber-attacks occur more frequently with the rapid growth in the Internet. Intrusion detection
systems (IDS) have become an important part of protecting system security. There are still …

Intrusion detection in computer networks is of great importance because of its effects on the
different communication and security domains. The detection of network intrusion is a …

The network intrusion detection system is an important tool for protecting computer networks
against threats and malicious attacks. Many techniques have recently been proposed; …

Due to the growth of internet security issues, Network Intrusion Detection System (NIDS)
becomes an integral part of the IoT environment. In the past, most research on intrusion …

Nowadays, huge amount of data is flowing every second; hence intrusion detection task
became tedious. Hence, Intrusion detection systems require efficient and improved detection …

Machine learning has been leveraged to increase the effectiveness of intrusion detection
systems (IDSs). The focus of this approach, however, has largely be on detecting known …