Due to the rapid growth in IT technology, digital data have increased availability, creating
novel security threats that need immediate attention. An intrusion detection system (IDS) is …

With the frequent occurrence of cyber-security incidents, intrusion detection system (IDS)
has been payed more and more attention recently. However, detecting attacks from traffic …

Network intrusion poses a severe threat to the Internet. Intrusion detection methods based
on deep learning are very effective to process and analyze intrusion data. On the one hand …

Abstract Network Intrusion Detection (NID) is an important defense strategy in modern
networks to detect malicious activities in large-scale cyberspace. The current NID methods …

Abstract The Intrusion Detection System plays a significant role in discovering malicious
activities and provides better network security solutions than other conventional defense …

Accurate detection of network-based attacks is crucial to prevent security breaches of
information systems. The recent application of deep learning approaches for network …

Abstract Network-based Intrusion Detection Systems (NIDSs) identify malicious activities by
analyzing network traffic. NIDSs are trained with the samples of benign and intrusive …

As the Internet integrates with social life closely, various cyber threats pose a huge
challenge to Intrusion Detection Systems (IDS). The performance of IDS based on traditional …

The intrusion detection system identifies the attack through the reputation and progression of
network methodology and the Internet. Moreover, conventional intrusion recognition …

In recent years, there have been numerous cyber security issues that have caused
considerable damage to the society. The development of efficient and reliable Intrusion …