Smart Cities at Risk!: Privacy and Security Borderlines from Social Networking in Cities

@article{Moustaka2018SmartCA,
  title={Smart Cities at Risk!: Privacy and Security Borderlines from Social Networking in Cities},
  author={Vaia Moustaka and Zenonas Theodosiou and Athena Vakali and Anastasis Kounoudes},
  journal={Companion Proceedings of the The Web Conference 2018},
  year={2018}
}
As smart cities infrastructures mature, data becomes a valuable asset which can radically improve city services and tools. Registration, acquisition and utilization of data, which will be transformed into smart services, are becoming more necessary than ever. Online social networks with their enormous momentum are one of the main sources of urban data offering heterogeneous real-time data at a minimal cost. However, various types of attacks often appear on them, which risk users' privacy and… 

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References

SHOWING 1-10 OF 39 REFERENCES
Cyber security challenges in Smart Cities: Safety, security and privacy
Security and Privacy in your Smart City
TLDR
Privacy can be achieved i) by imposing high security requirements onto the used technology to avoid third party abuses; and ii) by decoupling technical smart city data streams from the personal one to avoid abuse of data by insiders.
The pursuit of citizens' privacy: a privacy-aware smart city is possible
TLDR
This article identifies a number of privacy breaches that can appear within the context of smart cities and their services and defines the concept of citizens' privacy as a model with five dimensions: identity privacy, query privacy, location privacy, footprint privacy and owner privacy.
Towards enabling privacy preserving smart city apps
TLDR
Two-layer privacy-preserving platform architecture is introduced, wherein the personally identifiable information is dealt with at the inner layer (executed in a trusted environment), whereas only generic and personally unidentifiable information is made available to the apps at the outer layer of the architecture.
Privacy concerns in smart cities
TLDR
It is argued that the general hypothesis of the framework offers clear directions for further empirical research and theory building about privacy concerns in smart cities, and that it provides a sensitizing instrument for local governments to identify the absence, presence, or emergence of privacy concerns among their citizens.
Social media enabled human sensing for smart cities
TLDR
This paper reasons why “human sensors”, namely, citizens that share information about their surroundings via social media can supplement, complement, or even replace the information measured by physical sensors, and presents a methodology based on probabilistic language modeling to extract and visualize perceptions that may be relevant to smart cities from social media updates.
Age of Big Data and Smart Cities: Privacy Trade-Off
TLDR
The topic is defined big data analytics and smart cities and their potential contributions in changing the authors' way of living are discussed and how it can fool us, violate their privacy and turn us into puppets or technology slaves is discussed.
Online Social Networks: Threats and Solutions
TLDR
A thorough review of the different security and privacy risks, which threaten the well-being of OSN users in general, and children in particular, is presented and an overview of existing solutions that can provide better protection, security, and privacy forOSN users is presented.
An ARM-Compliant Architecture for User Privacy in Smart Cities: SMARTIE - Quality by Design in the IoT
TLDR
This paper paves the way to the adoption of reference architectures by describing the application of the IoT-ARM within a European-funded project, SMARTIE, designed to empower citizens to take control of their IoT devices and privacy, while guaranteeing scalability for large deployments in smart cities.
CityDNA: Smart City Dimensions' Correlations for Identifying Urban Profile
TLDR
This work proposes smart city profiling with the introduction of the "CityDNA" model, according to which, smart city's dimensions' relevance can be captured and visualized and future design and implementation ideas are identified and justified.
...
1
2
3
4
...