The escalating frequency and sophistication of cyber threats pose significant challenges to
traditional intrusion detection methods. Signature-based misuse detection, hybrid detection …

Intrusion detection has attracted a considerable interest from researchers and industries.
After many years of research the community still faces the problem of building reliable and …

Feature selection is a preprocessing phase to machine learning, which leads to increase the
classification accuracy and reduce its complexity. However, the increase of data …

Özet İnternet, günlük hayatımızın vazgeçilmez bir parçasıdır. Artan web uygulamaları ve
kullanıcı sayısı, veri güvenliği açısından bazı riskleri de beraberinde getirmiştir. Ağ güvenliği …

With the internet of objects, the number of devices with internet connection is increasing day
by day. This leads to a very high amount of data circulating on the internet. It is one of the …

In new era, information plays a key role for everyone, compromising with information may
harmful to user or our society. Intrusion detection is a very useful tool to protect the …

Feature selection is a preprocessing step to machine learning, used to reduce the
dimensionality of the dataset by removing irrelevant data. Variety of feature selection …

Intrusion detection systems (IDSs) is an essential key for network defense. The hybrid
intrusion detection system combines the individual base classifiers and feature selection …

Intrusion detection systems (IDSs) is an essential key for network defense. Many
classification algorithms have been proposed for the design of network IDS. Data …

Computer security is far from being guaranteed due to the scalability of computer networks,
the constant evolution of risks and the presence of noisy information. Several solutions were …