Cyber-attacks involve stifling processes and activities, conciliating data, or restricting data
access by carefully modifying computer systems and networks with malware. There has …

A reliable Cyber Attack Detection Model (CADM) is a system that works as safeguard for the
users of modern technological devices and assistant for the operators of networks. The …

░ ABSTRACT: Research in the field of IDS has been going on since long time; however,
there exists a number of ways to further improve the efficiency of IDS. This paper …

A long-standing issue with the categorization of network traffic has been brought on by
redundant and pointless data characteristics. These characteristics hinder a classifier from …

Abstract A reliable Cyber Attack Detection Model (CADM) is a system that works as
safeguard for the users of modern technological devices and assistant for the operators of …

Feature Engineering plays a significant role in the development of a Classifier Model based
on Machine Learning. It aids in the reduction of dataset dimensions, training time, and …

Nowadays, Internet utilization is expanding rapidly. This is primarily attributable to the recent
tendency of cheaper electronic devices and data packages. In reality, the Internet is a vital …

One of the primary security research challenges faced by traditional IDS methods is their
inability to handle large volumes of network data and detect modern cyber-attacks with high …

Abstract Injection and Cross Site Scripting attacks are among the ten critical security risks to
web-based applications. It is difficult, to provide a complete signature for firewalls that detect …