Due to the severe imbalance in the quantities of normal samples and attack samples, as well
as among different types of attack samples, intrusion detection systems suffer from low …

Computer networks facilitate regular human tasks, providing services like data streaming,
online shopping, and digital communications. These applications require more and more …

Abstract Network Intrusion Detection Systems (NIDS) are crucial tools for protecting
networked devices from cyberattacks. Recent development in the field of Artificial …

Abstract Short Message Service (SMS) spamming is a harmful phishing attack on mobile
phones. That is, fraudsters are trying to misuse personal user information, using tricky text …

The increasing prevalence of unknown-type attacks on the Internet highlights the importance
of developing efficient intrusion detection systems. While machine learning-based …

As a key water quality parameter in the wastewater treatment process (WWTP), the accurate
measurement of total phosphorus (TP) would effectively prevent the effluent water from …

In the Internet of Things (IoT) scenario, device diversity and data sparsity present a
significant challenge for malicious traffic detection, notably the 'small sample problem'where …

The absence of essential security protocols in Industrial Internet of Things (IIoT) networks
introduces cybersecurity vulnerabilities and turns them into potential targets for various …

Web applications and APIs face constant threats from malicious actors seeking to exploit
vulnerabilities for illicit gains. These threats necessitate robust anomaly detection systems …

As the proportion of clean energy continues to increase, low carbon energy systems will be
a significant way to achieve the goal of carbon neutrality. Therefore, the reliability of modular …