Abstract Machine learning (ML) utilisation has achieved a vast global impact. This is evident
in the cybersecurity sector, where ML has wide-ranging applications, such as identifying and …

Event logs are a powerful source of digital evidence as they contain detailed information
about activities performed on a computer. Forensic investigation of the event logs is a …

Large-scale quantification of ecosystem stability in multiple dimensions is crucial to
understanding underlying ecological processes and informing ecological management …

Cryptographic key generation and data encryption and decryption using wearable biometric
technologies is an emerging research area with significant potential for authentication and …

This paper presents the development of an automated machine learning approach to gain
an understanding of the built environment and its relationship to crime. This involves the …

Following the trends of Chinese rural transformation development, and the sustainable
development goals for resources and environment, reasonable arranging the potential …

The authors introduce an unsupervised Intrusion Detection System designed to detect zero‐
day distributed denial of service (DDoS) attacks in Internet of Things (IoT) networks. This …

Analysing access control policies is an essential process for ensuring over-prescribed
permissions are identified and removed. This is a time-consuming and knowledge-intensive …

There is great importance in understanding whether people perceive an environment as
safe or unsafe. Perceptions are influenced by the built environment, and through better …

Abstract Study region Bei**g-Tian**-Hebei (BTH) region, China Study focus BTH has long
been suffering from severe and uneven land subsidence. Finding out the spatial evolution of …