Research in the field of Intrusion Detection is focused on developing an efficient strategy that
can identify network attacks. One of the important strategies is to supervise the network …

The value of data to a company means that it must be protected. When it comes to
safeguarding their local and worldwide databases, businesses face a number of challenges …

Intrusion detection is one of the most crucial activities for security infrastructures in network
environments, and it is widely used to detect, identify and track malicious threats. A common …

Abstract Advanced Persistent Threat (APT) attacks pose significant challenges for AI models
in detecting and mitigating sophisticated and highly effective cyber threats. This research …

In modern database systems, efficient log management is crucial for ensuring data integrity
and facilitating swift recovery from potential data corruption or system failures. Traditional log …

Influence maximization (IM), a central issue in optimizing information diffusion on social
platforms, aims to spread posts or comments more widely, rapidly, and efficiently. Existing …

The continuous development of computer networks has created serious worries about
vulnerability and security. Network administrators have embraced Intrusion Detection …

Elevators are an essential indoor transportation tool in high-rise buildings. The world is
advocating the design concept of safety, energy-saving, and intelligence. We focus on …

Abstract The Multilevel Database Decomposition Framework is a strategy to enhance
system robustness and minimize the impact of data breaches. The framework prioritizes …

The Multilevel Database Decomposition Framework aims to enhance the robustness and
minimize data leakage of intrusions into healthcare databases. To this purpose, the …