Industrial Internet-of-Things security enhanced with deep learning approaches for smart cities

The significant evolution of the Internet of Things (IoT) enabled the development of numerous devices able to improve many aspects in various fields in the industry for smart cities where machines have replaced humans. With the reduction in manual work and the adoption of automation, cities are getting more efficient and smarter. However, this evolution also made data even more sensitive, especially in the industrial segment. The latter has caught the attention of many hackers targeting Industrial IoT (IIoT) devices or networks, hence the number of malicious software, i.e., malware, has increased as well. In this article, we present the IIoT concept and applications for smart cities, besides also presenting the security challenges faced by this emerging area. We survey currently available deep learning (DL) techniques for IIoT in smart cities, mainly deep reinforcement learning, recurrent neural networks, and convolutional neural networks, and highlight the advantages and disadvantages of security-related methods. We also present insights, open issues, and future trends applying DL techniques to enhance IIoT security

The Evolution of Smart Buildings: An Industrial Perspective of the Development of Smart Buildings in the 2010s

Over the course of the 2010s, specialist research bodies have failed to provide a holistic view of the changes in the prominent reason (as driven by industry) for creating a smart building. Over the 2010s, research tended to focus on remaining deeply involved in only single issues or value drivers. Through an analysis of the author’s peer reviewed and published works (book chapters, articles, essays and podcasts), supplemented with additional contextual academic literature, a model for how the key drivers for creating a smart building have evolved in industry during the 2010s is presented. The critical research commentary within this thesis, tracks the incremental advances of technology and their application to the built environment via academic movements, industrial shifts, or the author’s personal contributions. This thesis has found that it is demonstrable, through the chronology and publication dates of the included research papers, that as the financial cost and complexity of sensors and cloud computing reduced, smart buildings became increasingly prevalent. Initially, sustainability was the primary focus with the use of HVAC analytics and advanced metering in the early 2010s. The middle of the decade saw an economic transformation of the commercial office sector and the driver for creating a smart building was concerned with delivering flexible yet quantifiably used space. Driven by society’s emphasis on health, wellbeing and productivity, smart buildings pivoted their focus towards the end of the 2010s. Smart building technologies were required to demonstrate the impacts of architecture on the human. This research has evidenced that smart buildings use data to improve performance in sustainability, in space usage or for humancentric outcomes

Smart City Governance - AI Ethics in a Spatial Context : Select papers from 2021/2022

This brief anthology presents the basics of the interdisciplinary course called “Smart City Governance – AI Ethics in a Spatial Context”, given at Lund University. Furthermore, it includes three papers and a task written by students from the class of 2021/2022 in order to show examples of the topics possible to analyse when combining engineering students from programmes on data, ICT and land surveying with students from the humanities or social sciences.Head of course is Stefan Larsson, Associate Professor at the Department of Technology and Society at LTH, Lund University. As a socio-legal scholar and lawyer at a faculty of engineering, he leads a group studying governance and issues of trust and transparency with autonomous and AI-driven technologies in domains ranging from the public sector to consumer markets, medicine and social robotics.Laetitia Tanqueray is a Teaching Assistant on this course, and canvas coordinator. Laetitia holds bachelors’ in English Law and French Law and a master’s in Sociology of Law. She is a project assistant at the Department of Technology and Society at LTH, Lund University, investigating questions related to socio-legal robotics

How Smart Cities Transform Operations Models: A New Research Agenda for Operations Management in the Digital Economy

The notion of smart cities is growing in prominence in the digital economy. The integration of urban infrastructures with information and communication technologies (ICT) enables the development of new operations models. Digitised infrastructures offer opportunities for public and private organisations to design and deliver more customer-centric products or services, particularly for those that require geographical proximity with consumers in the O2O (online to offline) context. A framework is developed and used to analyse three case examples. These cases illustrate the emergence of new operations models and, demonstrate how smart cities are re-defining the characteristics of operations models around their scalability, analytical output and, connectivity. We also explore the feasibility, vulnerability and acceptability of each new operation. This paper contributes to our understanding of how smart cities can potentially transform operational models, and sets out a research agenda for operations management in smart cities in the digital economy

Public Innovation and Digital Transformation

Public innovation and digitalization are reshaping organizations and society in various ways and within multiple fields, as innovations are essential in transforming our world and addressing global sustainability and development challenges. This book addresses the fascinating relationship of these two contemporary topics and explores the role of digital transformation in promoting public innovation. This edited collection includes examples of innovations that emerge suddenly, practices for processing innovations, and the requirements for transformation from innovation to the "new normal". Acknowledging that public innovation refers to the development and realization of new and creative ideas that challenge conventional wisdom and disrupt the established practices within a specific context, expert contributions from international scholars explore and illustrate the various activities that are happening in the world of multiple digitalization opportunities. The content covers public administration, technical and business management, human, social, and future sciences, paying attention to the interaction between public and private sectors to utilize digitalization in order to facilitate public innovation. This timely book will be of interest to researchers, academics and students in the fields of technology and innovation management, as well as knowledge management, public service management and administration.fi=vertaisarvioitu|en=peerReviewed