Privacy‐protected communication for location‐based services

Werner, Martin

doi:10.1002/sec.330

Cited by 4 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Further, several works deal with privacy in online electronic services, for example, , and in anonymous geolocation and geosocial systems such as and . However, these schemes are usually not convenient for anonymous/pseudonymous many‐to‐one communication systems that collect data from client devices.…”

Section: Related Workmentioning

confidence: 99%

Light‐weight group signatures with time‐bound membership

Malina

Hajný

Zeman

2015

Security Comm Networks

View full text Add to dashboard Cite

This paper presents a novel privacy-preserving cryptographic protocol for secure many-to-one communication systems, for example, data collection systems, data gathering systems, vehicular networks, smart-grids, and so on. The proposed solution provides message authenticity, integrity, and non-repudiation, while message senders are anonymous and untraceable. The protocol is based on group signatures with a time-bound membership. The protocol is designed to achieve efficiency on the client side where restricted devices are usually employed. On the other hand, the verification of many messages is efficient as well. Common group signature schemes offer the verification phase that needs some pairing operations and employs a long revocation list. Generally, the revocation list grows until scheme parameters and keys are recomputed. However, the reinitialization of all keys and parameters is not practical in large-scale communication systems. By applying the optimization techniques on the group signature scheme, the verification phase becomes more efficient, and the expiration of group member secret keys naturally reduces the length of a revocation list. In addition to the full cryptographic description, we implement the proposed protocol and outline the performance results.

show abstract

Section: Related Workmentioning

confidence: 99%

Light‐weight group signatures with time‐bound membership

Malina

Hajný

Zeman

2015

Security Comm Networks

View full text Add to dashboard Cite

show abstract

“…For private communication, the concept of Locagram Exchangers is used [11]. This concept is based on coupling identity to public keys.…”

Section: A Construction Of the Overlay Networkmentioning

confidence: 99%

Distributed privacy-preserving mean estimation

Schönfeld

Werner

2014

2014 International Conference on Privacy and Security in Mobile Systems (PRISMS)

Self Cite

View full text Add to dashboard Cite

Due to the rise of mobile computing and smartphones, a lot of information about groups has become accessible. This information shall often be kept secret. Hence distributed algorithms for privacy-preserving distribution estimation are needed. Most research currently focuses on privacy in a database, where a single entity has collected the secret information and privacy is ensured between query results and the database. In fully distributed systems such as sensor networks it is often infeasible to move the data towards a central entity for processing. Instead, distributed algorithms are needed. With this paper we propose a fully distributed, privacy-friendly, consensus-based approach. In our approach all nodes cooperate to generate a sufficiently random obfuscation of their secret values until the estimated and obfuscated values of the individual nodes can be safely published. Then the calculations can be done on this replacement containing only non-secret values but recovering some aspects (mean, standard deviation) of the original distribution.

show abstract

“…The importance of user anonymity and privacy in online electronic services is investigated in several works such as . The work in surveys the basic features of existing geosocial services and the privacy issues involved in geosocial networks.…”

Section: Related Workmentioning

confidence: 99%

Privacy‐preserving framework for geosocial applications

Malina

Hajný

2013

Security Comm Networks

View full text Add to dashboard Cite

The paper deals with user privacy in geosocial applications. Geosocial applications have become very popular but can misuse user's private data and location. We propose a novel solution that prevents tracking and protects against personal identity and location being misused by external attackers or service providers. The proposed framework provides security and privacy protection for geosocial applications that provide, for example, information sharing, geotagging, and monitoring of people without revealing their identity to unauthorized persons, including the service provider. Unlike current security solutions in geosocial services, our novel framework uses advanced cryptography to secure user privacy. This protection is provided by advanced group signatures ensuring data integrity, authenticity, non-repudiation, and strong privacy protection. The paper outputs a detailed cryptographic scheme for the protection of privacy in geosocial services and its security analysis. The proposed scheme has also been implemented, and the performance results are outlined in the paper.

show abstract

Privacy‐protected communication for location‐based services

Cited by 4 publications

References 6 publications

Light‐weight group signatures with time‐bound membership

Light‐weight group signatures with time‐bound membership

Distributed privacy-preserving mean estimation

Privacy‐preserving framework for geosocial applications

Contact Info

Product

Resources

About