A survey of methods supporting cyber situational awareness in the context of smart cities

Journal of Big Data

Nataliia Neshenko¹  Borko Furht¹  Christelle Nader²  Elias Bou-Harb² 

[1] Department of Computer and Electrical Engineering and Computer Sciences, Florida Atlantic University, Boca Raton, USA;The Cyber Center For Security and Analytics, University of Texas at San Antonio, San Antonio, USA;

关键词: Cyber analytics;    Decision support models;    Data science;    Knowledge discovery;    Machine learning;    Applied analytics;    Decision-making;    Smart cities;    Internet of things;   

DOI  :  10.1186/s40537-020-00363-0

来源: Springer

【 摘 要 】

A modern urban infrastructure no longer operates in isolation, but instead, leverages the latest technologies to collect, process, and distribute aggregated knowledge in order to improve the quality of the provided services and promote the efficiency of resource consumption. This technological development, however, manifests in the form of new vulnerabilities and a plethora of attack vectors. In the same context, the ambiguity of ever-evolving cyber threats and their debilitating consequences introduce new barriers for decision-makers. Therefore, cyber situational awareness of smart cities emerges as a mission-critical task that requires support methods for effective and timely decision-making. In this article, we investigate the threat landscape of smart cities, survey and reveal the progress in data-driven methods for situational awareness and evaluate their effectiveness when addressing various cyber threats. We draw several potential research directions that aim at advancing cyber situational awareness in the context of smart cities.

【 授权许可】

CC BY