The ever-evolving landscape of cyber threats demands innovative and scalable solutions to
ensure robust real-time protection of digital infrastructures. This paper explores the …

The railway is the most used mode of transportation in the world, so digital transformations
are needed to automate the operations in the railway sector. Digital twin (DT) technology …

A critical worldwide problem is that ransomware cyberattacks can be costly to organizations.
Moreover, accidental employee cybercrime risk can be challenging to prevent, even by …

The global rise in online users and devices has led to a corresponding surge in cybercrimes
and attacks, demanding advanced technology and algorithms like Artificial Intelligence (AI) …

Multidimensional Big Data Analytics is an emerging area that marries the capabilities of
OLAP with modern Big Data Analytics. Essentially, the idea is engrafting multidimensional …

The key aim of this study is to analyze the impact of web data mining on detecting threat
related to cyber security. The internet users have been increasing continuously which has …

This chapter looks at how machine intelligence affects cyber risk management, emphasizing
both present developments and potential future applications. It investigates the ways in …

In the current digital era, that is marked by the enhanced use of information technology,
there are also enhanced threats which are in the form of cybercrimes. This research deals …

Research on network intrusion detection, prediction, and mitigation systems has been
ongoing due to the exponential rise in cyber-attacks in recent times. The prediction of future …

Abstract The XSS Polyglot (Cross-Site Scripting) payload remains a serious threat to
application security, hence the need for innovative ways for detection and mitigation. XSS …