Intrusion detection system (IDS) can effectively identify anomaly behaviors in the network;
however, it still has low detection rate and high false alarm rate especially for anomalies with …

Intrusion detection refers to monitoring network data information, quickly detecting intrusion
behavior, can avoid the harm caused by intrusion to a certain extent. Traditional intrusion …

Cyberttacks are becoming increasingly sophisticated, necessitating the efficient intrusion
detection mechanisms to monitor computer resources and generate reports on anomalous …

The efficiency of the intrusion detection is mainly depended on the dimension of data
features. By using the gradually feature removal method, 19 critical features are chosen to …

The growth of Internet and the services provided by it has been growing exponentially in the
past few decades. With such growth, there is also an ever-increasing threat to the security of …

This paper proposes an improved detection performance of anomaly-based intrusion
detection system (IDS) using gradient boosted machine (GBM). The best parameters of GBM …

As the alarming growth of computer connectivity and the significant number of computer-
related applications increased lately, the challenge of achieving cyber-security has become …

In recent years, there has been an increase in digitization of records, from small databases
like student details in a school and product inventory in a shop to large databases like Social …

The network intrusion detection techniques are important to prevent our systems and
networks from malicious behaviors. However, traditional network intrusion prevention such …

The intrusions are increasing daily, so there is a huge amount of privacy violations, financial
loss, illegal transferring of information, etc. Various forms of intrusion occur in networks, such …