The intrusion detection system (IDS) is a crucial part in the network administration system to
detect some types of cyber attack. IDS is categorized as a classifying machine thus it is likely …

To secure cloud computing and outsourced data while meeting the requirements of
automation, many intrusion detection schemes based on deep learning are proposed …

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 …

A network intrusion detection tool can identify and detect potential malicious activities or
attacks by monitoring network traffic and system logs. The data within intrusion detection …

High data rate requirements in recent years have resulted in the massive expansion of
communication systems, network size and the amount of data generated and processed …

Security plays an important part in this Internet world because of the hasty improvement of
Internet customers. Different Intrusion Detection Systems (IDS) have been advanced for …

Towards Secure network intrusion detection system (NIDS) is an important protection
appliance in cyber security. Traditional methods that employ machine learning techniques …

Network intrusion detection plays an important role as tools for managing and identifying
potential threats, which presents various challenges. Redundant features and difficult …

Abstract Distributed Sensor Networks play a vital role in the day-to-day world of computing
applications, from the cloud to the Internet of Things (IoT). These computing applications …

Network intrusion detection system (NIDS) adoption is essential for mitigating computer
network attacks in various scenarios. However, the increasing complexity of computer …