Abstract The area of Artificial Immune Systems (AIS) that bridges immunology, computer
science, engineering and mathematics, has gained great interests in the last decade. One of …

As a kind of invisible spyware that records user's keystrokes, software keyloggers have
posed a great threat to user privacy and security. It is difficult to detect keyloggers because …

The demand for anytime, anywhere, anyhow communications in future generation networks
necessitates a paradigm shift from independent network services into a more harmonized …

The sophistication of modern computer malware demands run-time malware detection
strategies which are not only efficient but also robust to obfuscation and evasion attempts. In …

Detecting bots is an important goal for most website admins. In this paper, we propose a
novel machine learning bot detection approach based on local website navigation behavior …

In outbreak detection, one of the key issues is the need to deal with the weakness of early
outbreak signals because this causes the detection model to have has less capability in …

The most daunting and challenging task in intrusion detection is to distinguishing between
normal and malicious traffics effectively. In order to complete such a task, the biological …

Botnet has become the most serious security threats on the current Internet infrastructure.
Botnet is a group of compromised computers (Bots) which are remotely controlled by its …