Effectively detecting intrusions in the computer networks still remains problematic. This is
because cyber attackers are changing packet contents to disguise the intrusion detection …

Cloud computing paradigm is growing rapidly, and it allows users to get services via the
Internet as pay‐per‐use and it is convenient for developing, deploying, and accessing …

Ransomware, a class of self-propagating malware that uses encryption to hold the victims'
data ransom, has emerged in recent years as one of the most dangerous cyber threats, with …

Ransomware is a type of advanced malware that has spread rapidly in recent years, causing
significant financial losses for a wide range of victims, including organizations, healthcare …

''Knowledge is power” is an old adage that has been found to be true in today's information
age. Knowledge is derived from having access to information. The ability to gather …

Network Intrusion Detection is one of the most researched topics in the field of computer
security. Hacktivists use sophisticated tools to launch numerous attacks that hamper the …

Network-based intrusion detection system (NIDS) monitors network traffic for malicious
activities, forming the frontline defense against increasing attacks over information …

Now-a-days, there is exponential growth in the field of wireless sensor network. In wireless
sensor networks (WSN's), most of communication happen through wireless media hence …

Unsupervised machine learning plays a critical role in improving the security level of
applications and systems. The cyberattack floods the network with data streams to deny …

Feature Engineering plays an important role in the development of a Machine Learning-
based Classifier; especially for Intrusion Detection Systems. It helps in reducing the …