Towards enabling privacy preserving smart city apps

Mazhelis, Oleksiy; Hämäläinen, Antti; Asp, Tomi; Tyrväinen, Pasi

doi:10.1109/isc2.2016.7580755

Cited by 13 publications

(6 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Potential cyber-attacks to SC resources (e.g., databases, IoT networks, applications, etc.) and OSN (as it was described in Section 2) affect public security and privacy, as well as, openness and social participation, and in this respect they reduce corresponding smart living and smart people KPIs (Ahmed et al, 2014;Bartoli et al, 2011;Beltran et al, 2017;Elmaghraby and Losavio, 2014;Martinez-Balleste et al, 2013;Mazhelis et al, 2016;Solomon et al, 2016;Zoonen, 2016).Consequently, the smart living KPI values demonstrate the levels of information security, openness and participation in public life, and determine the quality of life and citizen participation.…”

Section: Smart Livingmentioning

confidence: 97%

“…Due to their advantages, OSN have already been widely utilized for the implementation of SC either independently or complementary to IoT (Doran et al, 2014;Martinez-Balleste et al, 2013;Mazhelis et al, 2016;Moustaka et al, 2018a;Solomon et al, 2016;Vakali et al, 2013). SC with interconnection of mobile devices that support the use of OSN and applications and IoT can collect and analyze data and improve the ability to extract patterns, and, forecast and manage urban flows and events.…”

Section: Osn As Sensors Of Urban Dynamicsmentioning

confidence: 99%

“…Privacy, which is primarily personal responsibility, is ensured by the proper use of OSN privacy settings and can lead to security protection and improvement, as individuals cease to be vulnerable to malicious third parties. Mazhelis et al (2016), in their work, have claimed that individuals' engagement can be enhanced, if they feel safe and convinced that their personal data, which are being recorded by the various devices and applications are fully protected and that they control the purpose of its use. Consequently, the feeling of security and confidence on OSN, encourages individuals to engage in social issues and this response increases the corresponding KPI values (i.e., openness, participation in public life), while it enhances service co-creation with local authorities (Lee and Lee, 2014;Zoonen, 2016).…”

Section: Smart Peoplementioning

confidence: 99%

See 2 more Smart Citations

Εnhancing social networking in smart cities: Privacy and security borderlines

Moustaka

Θεοδοσίου

Vakali

et al. 2019

Technological Forecasting and Social Change

View full text Add to dashboard Cite

The proliferation of social platforms and the enhanced connectivity have led people of different age groups, ethnicity, social or economic status to reveal a great deal about themselves online. Data collected from online social networks (OSN) provides social, economic, and cultural information which can be utilized by governments, policy makers, authorities and even commercial industries to better understand market trends and behavioral patterns, that can influence the individual dynamics through open data sources. OSN constitute a breeding ground for the spread of several risks and threats to privacy and security that affect participation and quality of life in smart cities. Although the aspects of privacy and security, and individuals' behavior in social networking are important for the successful development of smart cities, they have not been adequately discussed. To this end, this study aims to address this issue by revealing the risks, threats and individuals' behavior on OSN as an attempt to enhance privacy and security, and boost community's engagement in smart cities. Furthermore, a novel model which outlines the relationships between privacy and security threats, along with some effective countermeasures for the protection of OSN users in smart cities are proposed.

show abstract

Section: Smart Livingmentioning

confidence: 97%

Section: Osn As Sensors Of Urban Dynamicsmentioning

confidence: 99%

Section: Smart Peoplementioning

confidence: 99%

See 1 more Smart Citation

Εnhancing social networking in smart cities: Privacy and security borderlines

Moustaka

Θεοδοσίου

Vakali

et al. 2019

Technological Forecasting and Social Change

View full text Add to dashboard Cite

show abstract

“…Moreover, blockchain also protects against the adverse effects of server hacking and falsification/modification of permissions (Cui et al, 2018). No doubt, people in a smart city environment feel safe when they have the assurance that their personal and sensitive data collected by various devices is fully protected and they have the control over it (Mazhelis et al, 2016). Such assurance can only be provided by none other than the blockchain technology.…”

Section: Privysharing: Blockchain-based Secure Data Sharingmentioning

confidence: 99%

PrivySharing: A Blockchain-based Framework for Integrity and Privacy-preserving Data Sharing in Smart Cities

Makhdoom

Zhou

Lipman

et al. 2019

Proceedings of the 16th International Joint Conference on E-Business and Telecommunications

View full text Add to dashboard Cite

The ubiquitous use of Internet of Things (IoT) ranges from industrial control systems to e-Health, e-commerce, smart cities, supply chain management, smart cars, cyber-physical systems and a lot more. However, the data collected and processed by IoT systems especially the ones with centralized control are vulnerable to availability, integrity, and privacy threats. Hence, we present "PrivySharing," a blockchain-based innovative framework for integrity and privacy-preserving IoT data sharing in a smart city environment. The proposed scheme is distinct from existing technologies on many aspects. The data privacy is preserved by dividing the blockchain network into various channels, where every channel processes a specific type of data such as health, smart car, smart energy or financial data. Moreover, access to user data within a channel is controlled by embedding access control rules in the smart contracts. In addition, users' data within a channel is further isolated and secured by using private data collection. Likewise, the REST API that enables clients to interact with the blockchain network has dual security in the form of an API Key and OAuth 2.0. The proposed solution also conforms to some of the significant requirements outlined in the European Union General Data Protection Regulation. Lastly, we present a system of reward in the form of a digital token "PrivyCoin" for the users for sharing their data with the stakeholders/third parties.

show abstract

“…In [24], a two layered architecture is proposed for protecting users' privacy in smart city applications. A trusted layer is designed to store real identities of individuals that can be processed only by the platform's components, without disclosing the identities to the outside world.…”

Section: Enforcement Of Users' Privacy In the Iot Domainmentioning

confidence: 99%

Decentralizing privacy enforcement for Internet of Things smart objects

2018

View full text Add to dashboard Cite

Internet of Things (IoT) is now evolving into a loosely coupled, decentralized system of cooperating smart objects, where highspeed data processing, analytics and shorter response times are becoming more necessary than ever. Such decentralization has a great impact on the way personal information generated and consumed by smart objects should be protected, because, without centralized data management, it is more difficult to control how data are combined and used by smart objects. To cope with this issue, in this paper, we propose a framework where users of smart objects can specify their privacy preferences. Compliance check of user individual privacy preferences is performed directly by smart objects. Moreover, acknowledging that embedding the enforcement mechanism into smart objects implies some overhead, we have extensively tested the proposed framework on different scenarios, and the obtained results show the feasibility of our approach.

show abstract

Towards enabling privacy preserving smart city apps

Cited by 13 publications

References 8 publications

Εnhancing social networking in smart cities: Privacy and security borderlines

Εnhancing social networking in smart cities: Privacy and security borderlines

PrivySharing: A Blockchain-based Framework for Integrity and Privacy-preserving Data Sharing in Smart Cities

Decentralizing privacy enforcement for Internet of Things smart objects

Contact Info

Product

Resources

About