A survey of methods supporting cyber situational awareness in the context of smart cities
Abstract 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 technologi...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2020-10-01
|
Series: | Journal of Big Data |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s40537-020-00363-0 |
id |
doaj-57137e475e9e48e6911f95854bfe75e8 |
---|---|
record_format |
Article |
spelling |
doaj-57137e475e9e48e6911f95854bfe75e82020-11-25T03:36:57ZengSpringerOpenJournal of Big Data2196-11152020-10-017114110.1186/s40537-020-00363-0A survey of methods supporting cyber situational awareness in the context of smart citiesNataliia Neshenko0Christelle Nader1Elias Bou-Harb2Borko Furht3Department of Computer and Electrical Engineering and Computer Sciences, Florida Atlantic UniversityThe Cyber Center For Security and Analytics, University of Texas at San AntonioThe Cyber Center For Security and Analytics, University of Texas at San AntonioDepartment of Computer and Electrical Engineering and Computer Sciences, Florida Atlantic UniversityAbstract 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.http://link.springer.com/article/10.1186/s40537-020-00363-0Cyber analyticsDecision support modelsData scienceKnowledge discoveryMachine learningApplied analytics |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nataliia Neshenko Christelle Nader Elias Bou-Harb Borko Furht |
spellingShingle |
Nataliia Neshenko Christelle Nader Elias Bou-Harb Borko Furht A survey of methods supporting cyber situational awareness in the context of smart cities Journal of Big Data Cyber analytics Decision support models Data science Knowledge discovery Machine learning Applied analytics |
author_facet |
Nataliia Neshenko Christelle Nader Elias Bou-Harb Borko Furht |
author_sort |
Nataliia Neshenko |
title |
A survey of methods supporting cyber situational awareness in the context of smart cities |
title_short |
A survey of methods supporting cyber situational awareness in the context of smart cities |
title_full |
A survey of methods supporting cyber situational awareness in the context of smart cities |
title_fullStr |
A survey of methods supporting cyber situational awareness in the context of smart cities |
title_full_unstemmed |
A survey of methods supporting cyber situational awareness in the context of smart cities |
title_sort |
survey of methods supporting cyber situational awareness in the context of smart cities |
publisher |
SpringerOpen |
series |
Journal of Big Data |
issn |
2196-1115 |
publishDate |
2020-10-01 |
description |
Abstract 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. |
topic |
Cyber analytics Decision support models Data science Knowledge discovery Machine learning Applied analytics |
url |
http://link.springer.com/article/10.1186/s40537-020-00363-0 |
work_keys_str_mv |
AT nataliianeshenko asurveyofmethodssupportingcybersituationalawarenessinthecontextofsmartcities AT christellenader asurveyofmethodssupportingcybersituationalawarenessinthecontextofsmartcities AT eliasbouharb asurveyofmethodssupportingcybersituationalawarenessinthecontextofsmartcities AT borkofurht asurveyofmethodssupportingcybersituationalawarenessinthecontextofsmartcities AT nataliianeshenko surveyofmethodssupportingcybersituationalawarenessinthecontextofsmartcities AT christellenader surveyofmethodssupportingcybersituationalawarenessinthecontextofsmartcities AT eliasbouharb surveyofmethodssupportingcybersituationalawarenessinthecontextofsmartcities AT borkofurht surveyofmethodssupportingcybersituationalawarenessinthecontextofsmartcities |
_version_ |
1724547889662787584 |