The rapid advancement of internet technologies has dramatically increased the number of
connected devices. This has created a huge attack surface that requires the deployment of …

Efficiently detecting network intrusions requires the gathering of sensitive information. This
means that one has to collect large amounts of network transactions including high details of …

Over the years, there has been a heavy reliance on cloud computing as IT has innovated
through time. In recent times cloud computing has grown monumentally. Many organizations …

Due to the widespread use of the internet, computer systems are prone to information theft
that has led to the emergence of Intrusion Detection Systems (IDSs). Various approaches …

Now a day's advancement in technology increases the use of automation, mobility, smart
devices, and application over the Internet that can create serious problems for protection …

As an important means to ensure network safety, intrusion detection technology can be
much more efficient by introducing machine learning. The present paper proposes a …

With the swift growth of Internet technology, various types of attacks and intrusions are taking
place over the Internet. Intrusion Detection Systems (IDS) are widely used to detect attacks …

The idea of Internet of Medical Things (IOMT) is used as health intelligence in the smart
hospital to assist medical staff for diagnosis and patient care. Smart hospitals play an …

Intrusion detection systems are very important for network security. However, traditional
intrusion detection systems can not identify new type of network intrusion for example zero …

Semi-supervised learning targets the common situation where labeled data are scarce but
unlabeled data are abundant. It uses unlabeled data to help supervised learning tasks. In …