Privacy-aware friend finding in social network based on thumbs-up data

Sun, Zewei; Kou, Huaizhen; Huang, Wanli

doi:10.1186/s13638-019-1538-6

Cited by 4 publications

(5 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Smart city [1], [2], [3] is an agglomeration of urban society that employs intelligent technologies to improve people's life, work and communication. A key aspect of smart cities is mobile online social networks (mOSNs) [4], [5], [6], [7], [8] that are popular mainstream platforms for information and content sharing among people. Location sharing is an important component of mOSNs and also has attracted much attention recently.…”

Section: Introductionmentioning

confidence: 99%

Location-sharing Protocol for Privacy Protection in Mobile Online Social Networks

Ruan

Zhang

2021

Preprint

View full text Add to dashboard Cite

Location-based services are becoming more and more popular in mobile online social networks(mOSNs) for smart cities, but users' privacy also has aroused wide concern, such as locations, friend sets and other private information. At present, many protocols have been proposed, but these protocols are inefficient and ignore some security risks. In the paper, we present a new location sharing protocol, which solves these two issues by using symmetric/asymmetric encryption properly. We adopt the following methods to reduce the communication and computation costs: only setting up one location server; connecting social network server and location server directly instead of through cellular towers; avoiding broadcast encryption. We introduce dummy identities to protect users' identity privacy, and prevent locationserver from inferring users' activity tracks by updating dummy identities in time. The details of security and performance analysis with the related protocols show that our protocol enjoys two advantages: (1) it's more efficient than the related protocols, which greatly reduces the computation and communication costs; (2) it satisfies all security goals, however, most previous protocols only meet some security goals.

show abstract

Section: Introductionmentioning

confidence: 99%

Location-sharing Protocol for Privacy Protection in Mobile Online Social Networks

Ruan

Zhang

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Edge computing is a technology that helps in enhancing the speed of transmission especially that contains huge data like that of crowdsourcing [11][12][13][14][15]25].…”

Section: Introductionmentioning

confidence: 99%

Conceptual Analytics on Integration of Network Technologies with Crowdsourcing Infrastructure

Sivachandiran¹,

Jagan²,

Mohammed³

2021

Atlantis Highlights in Computer Sciences

View full text Add to dashboard Cite

Technology seeks a new dimension as collaboration of various methods and technologies in transmission of data. Crowdsourcing enables the availability of huge data over a variety of networks. It is important to understand the needs of the management and monitoring of such data over a long distance and among a huge population especially among a big crowd like that of temples and other public places. Hence integration of network technologies has to be considered for effective attainment of data transfer with high speed and better performance that includes latency. The paper conducts analytics of various collaborated network technologies that was utilised to handle huge data from a crowdsourced network. The network technologies considered for the reviews are Edge computing, Fog computing, IoT based sensors, mobile technologies and cloud-based platforms. After significant analysis of all the research works, it was identified that edge computing has been the chief network technology used to transmit crowdsourced data with speed and efficiency. Cloud platforms assist the transferred data to be stored with privacy and security. The IoT sensors and Fog computing helped in detecting the data and also to increase the bandwidth and improve latency problems. The research gap identified was to enhance the speed and efficiency of transmission in public related problems like surveillance and handling public or social media database which seemed to be more challenging and encouraging future research works.

show abstract

“…Smart city [1], [2], [3] is an agglomeration of urban society that employs intelligent technologies to improve how people live, work, commute and share information. A key aspect of a smart city is mobile online social networks (mOSNs) [4], [5], [6], [7], [8] that are popular mainstream platforms for information and content sharing among people. Location sharing is an important component of mOSNs and also has attracted much attention recently.…”

Section: Introductionmentioning

confidence: 99%

“…A key aspect of a smart city is mobile online social networks (mOSNs) [4], [5], [6], [7], [8] that are popular mainstream platforms for information and content sharing among people. Location sharing is an important component of mOSNs and also has attracted much attention recently.…”

Section: Introductionmentioning

confidence: 99%

Location-Sharing Protocol for Privacy Protection in Mobile Online Social Networks

Ruan

Zhang

2020

Preprint

View full text Add to dashboard Cite

Location-based services are becoming more and more popular in mobile online so-cial networks(mOSNs) for smart cities, but users' privacy also has aroused wide concern, such as locations, friend sets and other private information. At present, many location sharing protocols in mOSNs have been proposed, but these pro-tocols are inecient and ignore some security risks. In this paper, we propose a new location sharing protocol, which solves these two issues by using symmetric encryption and asymmetric encryption properly. We adopt the following methods to reduce the communication and computation costs: only setting up one loca-tion server; connecting social network server and location server directly instead of through celluar towers; avoiding broadcast encryption. We introduce dummy iden-tities to protect users' identity privacy, and prevent location server from inferring users' activity tracks by updating dummy identities in time. The details of security and performance analysis with the related protocols show that our protocol enjoys two advantages: (1) it's more ecient than the related protocols, which greatly re-duces the computation and communication costs; (2) it satises all security goals, however, most previous protocols only meet some security goals.

show abstract

Privacy-aware friend finding in social network based on thumbs-up data

Cited by 4 publications

References 37 publications

Location-sharing Protocol for Privacy Protection in Mobile Online Social Networks

Location-sharing Protocol for Privacy Protection in Mobile Online Social Networks

Conceptual Analytics on Integration of Network Technologies with Crowdsourcing Infrastructure

Location-Sharing Protocol for Privacy Protection in Mobile Online Social Networks

Contact Info

Product

Resources

About