This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/ACCESS.2021.3114447, IEEE Access VOLUME XX, 2017 1 Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000. Digital Object Identifier 10.1109/ACCESS. 2017.Doi Number Challenges and Solutions of Surveillance Systems in IoT-Enabled Smart Campus: A Survey Theodoros Anagnostopoulos 1 , Panos Kostakos 2 , Arkady Zaslavsky 3 , Senior, Member, IEEE, Ioanna Kantzavelou 4 , Member, IEEE, Nikos Tsotsolas 1 , Ioannis Salmon 1 , Jeremy Morley 5 , Robert Harle 6 1 Department of Business Administration, University of West Attica, Greece 2 Center for Ubiquitous Computing, University of Oulu, Finland 3 School of Information Technology, Deakin University, Australia 4 Department of Informatics and Computer Engineering, University of West Attica, Greece 5 Chief Geospatial Scientist, Ordnance Survey, U.K. 6 Department of Computer Science and Technology, University of Cambridge, U.K. Corresponding author: Theodoros Anagnostopoulos (e-mail: Theodoros.Anagnostopoulos@uniwa.gr). This work has financially supported in part by the course of Advanced Quantitative Statistical Analyses, Master of Business Administration (MBA), Department of Business Administration, University of West Attica, Athens, Greece, by the Academy of Finland 6 Genesis Flagship (318927), and by the EU Horizon 2020 projects CUTLER: Coastal Urban developmenT through the LEnses of Resiliency (770469) and IDUNN Cognitive Detection System for Cybersecure Operational Technologies (101021911). ABSTRACT A Smart Campus is a miniature of a Smart City with a more demanding framework that enables learning, social interaction and creativity. To ensure a Smart Campus uninterruptible secure operation, a key requirement is that daily routines and activities are performed protected in an environment monitored unobtrusively by a robust surveillance system. The various components that compose such an environment, buildings, labs, public spaces, smart lighting, smart parking, or even smart traffic lights, require us to focus on surveillance systems, and recognize which detection activities to establish. In this paper, we perform a comparative assessment in the area of surveillance systems for Smart Campuses. A proposed taxonomy for IoT-enabled Smart Campus unfold five research dimensions: (1) physical infrastructure; (2) enabling technologies; (3) software analytics; (4) system security; and (5) research methodology. By applying this taxonomy and by adopting a weighted scoring model on the surveyed systems, we first present the state-of- the-art, and then we make a comparative assessment and classify the systems. We extract valuable conclusions and inferences from this classification, providing insights and directions towards required services offered by surveillance systems for Smart Campus. INDEX TERMS Smart Campus, Surveillance Systems, IoT, Software Analytics, Security, Research Methodology, Weighted Scoring Model I. INTRODUCTION Smart Cities, also known as Cities 2.0, are embodiments of urban living in the digital age [1]. In the coming years, suburban and rural citizens are expected to move towards urban areas, forming a vast concentration of population in the inner city. It is anticipated that emerging paradigms such as Industry 4.0 will support the new needs of cities [2]. A key component is the incorporation of the Internet of Things (IoT) paradigm as the backbone of society [3]. IoT-enabled services will produce a vast amount of data that can be used to support and optimize critical infrastructure and provide new insights and advances. However, the majority of these data will be sensitive and should be treated unobtrusively not to harm freedom and individual privacy. The challenge today is to understand how to build and deploy massively interconnected systems such that they are both effective and trustworthy. An area where we might hope to learn something significant is in the application of surveillance mechanisms in Smart Campuses. A College or University campuses is a scaled-down version of a city: they contain a somewhat closed community that is large enough to experience many