As network techniques rapidly evolve, attacks are becoming increasingly sophisticated and
threatening. Network intrusion detection has been widely accepted as an effective method to …

In this paper, we present a review of recent advances in wrapper feature selection
techniques for attack detection and classification, applied in intrusion detection area. Due to …

In this paper, we present a survey of deep learning approaches for cyber security intrusion
detection, the datasets used, and a comparative study. Specifically, we provide a review of …

The massive growth of data that are transmitted through a variety of devices and
communication protocols have raised serious security concerns, which have increased the …

With the development of the Internet, cyber-attacks are changing rapidly and the cyber
security situation is not optimistic. This survey report describes key literature surveys on …

Cyber security has recently received enormous attention in today's security concerns, due to
the popularity of the Internet-of-Things (IoT), the tremendous growth of computer networks …

Abstract Internet of Things (IoT) is a new paradigm that integrates the Internet and physical
objects belonging to different domains such as home automation, industrial process, human …

Since its inception, the Internet of Things (IoT) has witnessed mushroom growth as a
breakthrough technology. In a nutshell, IoT is the integration of devices and data such that …

Nowadays, there is a huge and growing concern about security in information and
communication technology among the scientific community because any attack or anomaly …

Abstract Network Anomaly Detection Systems (NADSs) are gaining a more important role in
most network defense systems for detecting and preventing potential threats. The paper …