Digital technology now plays a critical role in policing and security management, with
policing apps, drones and body-worn cameras potentially being game-changers. Adoption …

Traffic classification is considered an important research area due to the increasing demand
in network users. It not only effectively improve the network service identifications and …

In Internet of Things (IoT) environments, privacy and security are among some of the
significant challenges. Recently, several studies have attempted to apply blockchain …

Accurately inferring the spatiotemporal distribution of freeway traffic volume is one of the
bottleneck problems for intelligent management of ground transportation. Although the …

Purpose The significance of smart mobility practices in shaping cities from a smart
perspective has grown in recent years, influencing policies and the choices made by …

Smart cities and smart tourism terms have become very popular in the past and present
decades. Research in the field of smart tourist cities still fails to cover the developments of …

Despite the prevalence of smart city discourse across many disciplines, governance
systems, and policy-making bodies, its conceptual foundations are based either on semi …

In this paper we propose ConvXSS, a novel deep learning approach for the detection of XSS
and code injection attacks, followed by context-based sanitization of the malicious code if …

The way we interact with the physical world around us is being changed rapidly by
advances in technology. These new technologies are very helpful for developing smart cities …

Taking into consideration the complexity of planning and implementing an urban strategy,
this paper studies the influence of potential stakeholders on the implementation of smart city …