2014
DOI: 10.1186/s13677-014-0014-4
|View full text |Cite
|
Sign up to set email alerts
|

A framework for cloud-based context-aware information services for citizens in smart cities

Abstract: Background: In the context of smart cities, public participation and citizen science are key ingredients for informed and intelligent planning decisions and policy-making. However, citizens face a practical challenge in formulating coherent information sets from the large volumes of data available to them. These large data volumes materialise due to the increased utilisation of information and communication technologies in urban settings and local authorities' reliance on such technologies to govern urban sett… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
17
0

Year Published

2014
2014
2021
2021

Publication Types

Select...
5
4
1

Relationship

3
7

Authors

Journals

citations
Cited by 40 publications
(19 citation statements)
references
References 20 publications
(17 reference statements)
0
17
0
Order By: Relevance
“…We proposed a comprehensive framework to deal with data security, privacy and trust issues. Such a framework can be useful to provide secure context-aware information services for citizens in a smart city environment [16]. Using Scyther security verification tool, the authentication component of the proposed framework is tested against possible attacks with promising results.…”
Section: Discussionmentioning
confidence: 99%
“…We proposed a comprehensive framework to deal with data security, privacy and trust issues. Such a framework can be useful to provide secure context-aware information services for citizens in a smart city environment [16]. Using Scyther security verification tool, the authentication component of the proposed framework is tested against possible attacks with promising results.…”
Section: Discussionmentioning
confidence: 99%
“…[53,[62][63][64][65][66][67][68][69][70]) have been proposed and some of them have been applied in recent years as part of case studies. These infrastructures are based on cloud computing and tend to focus on technological aspects (especially big data analytics, context-aware computing, development and monitoring, etc.…”
Section: Related Workmentioning
confidence: 99%
“…This complexity further increases when processed CDR is correlated with landuse data. This will double the complexity, i.e., O(n^2) 2 . Different optimization techniques can be applied, e.g., map-reduce by using Hadoop to divide larger files into smaller size files and process them on Hadoop worker nodes.…”
Section: Cell Data Records (Cdr)mentioning
confidence: 99%