A novel authentication and authorization scheme in P2P networking using location-based privacy

Jagdale, B. N.; Bakal, J. W.

doi:10.1007/s12065-020-00375-y

Cited by 6 publications

(4 citation statements)

References 23 publications

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“…k-anonymity and l-diversity generalize a user's real location into an area to achieve location protection. However, this only protects users' privacy to a certain extent and cannot prevent homogeneous attacks [3] and background knowledge attacks [4]. Qian et al proposed a privacy protection model that can prevent background knowledge attacks and provide a quantitative evaluation method, namely differential privacy [5].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Differential Privacy-Based Method for Location Privacy Protection in Location-Based Services

Wang

Ren

et al. 2023

Sensors

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Location-based services (LBS) are widely used due to the rapid development of mobile devices and location technology. Users usually provide precise location information to LBS to access the corresponding services. However, this convenience comes with the risk of location privacy disclosure, which can infringe upon personal privacy and security. In this paper, a location privacy protection method based on differential privacy is proposed, which efficiently protects users’ locations, without degrading the performance of LBS. First, a location-clustering (L-clustering) algorithm is proposed to divide the continuous locations into different clusters based on the distance and density relationships among multiple groups. Then, a differential privacy-based location privacy protection algorithm (DPLPA) is proposed to protect users’ location privacy, where Laplace noise is added to the resident points and centroids within the cluster. The experimental results show that the DPLPA achieves a high level of data utility, with minimal time consumption, while effectively protecting the privacy of location information.

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Section: Introductionmentioning

confidence: 99%

An Efficient Differential Privacy-Based Method for Location Privacy Protection in Location-Based Services

Wang

Ren

et al. 2023

Sensors

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“…Peer to peer technology [3] opens up a new feasible scheme to solve the problem of Internet privacy. One of the remarkable characteristics is that it is difficult for attackers to find clear attack targets, because each communication may contain many potential users.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Location Privacy Protection Method for Location-Based Services based on Differential Privacy

Wang

Guo

et al. 2022

Preprint

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Location-based services (LBSS) are widely used with the rapid development of mobile devices and location technology. LBSs not only brings convenience to life, but also brings privacy threats to users. Users upload accurate location information to LBSs to obtain the corresponding services. However, uploading unprocessed location data will directly cause the leakage of users’ privacy information. In this work, an efficient location protection method based on differential privacy is proposed. First of all, the users’ locations information is merged based on the distance and density relationship between multiple groups of continuous locations, and a location clustering (L-cluster) algorithm is proposed to divide the continuous locations into various clusters. Then, differential privacy based location protection algorithm (DPLPA) is proposed to efficiently preserve users’ location privacy, where Laplace noise conforming to the differential privacy mechanism is added to resident points and centroids in the cluster to protect the location privacy. Experimental results show that DPLPA gets high data utility and low time consumption while protecting the privacy of location information.

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“…Apart from this, attribute-based encryption (ABE) is a promising cryptographic approach offers fine-grained access control to both outsourced data and confidentiality (Belguith et al , 2020). Many researchers focused on strengthening privacy preservation (Jagdale and Bakal, 2020) and security protection in cloud applications (Mandala and Chandra SekharaRao, 2019). Moreover, several cryptographic techniques (Jagdale and Bakal, 2018) are also developed for addressing privacy issues and potential security, such as data public auditing protocols (Yang and Jia, 2012), key management, privacy-preserving protocols (Shailaja and Rao, 2019; Xiao and Tao, 2006), data possession protocols (Zhu et al , 2012; Wang, 2012), security architectures, access control methods, data sharing protocols and secure data storage.…”

Section: Introductionmentioning

confidence: 99%

Privacy preserving model-based authentication and data security in cloud computing

Pawar

Ghumbre²,

Jogdand

2021

IJPCC

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Purpose Cloud computing plays a significant role in the initialization of secure communication between users. The advanced technology directs to offer several services, such as platform, resources, and accessing the network. Furthermore, cloud computing is a broader technology of communication convergence. In cloud computing architecture, data security and authentication are the main significant concerns. Design/methodology/approach The purpose of this study is to design and develop authentication and data security model in cloud computing. This method includes six various units, such as cloud server, data owner, cloud user, inspection authority, attribute authority, and central certified authority. The developed privacy preservation method includes several stages, namely setup phase, key generation phase, authentication phase and data sharing phase. Initially, the setup phase is performed through the owner, where the input is security attributes, whereas the system master key and the public parameter are produced in the key generation stage. After that, the authentication process is performed to identify the security controls of the information system. Finally, the data is decrypted in the data sharing phase for sharing data and for achieving data privacy for confidential data. Additionally, dynamic splicing is utilized, and the security functions, such as hashing, Elliptic Curve Cryptography (ECC), Data Encryption Standard-3 (3DES), interpolation, polynomial kernel, and XOR are employed for providing security to sensitive data. Findings The effectiveness of the developed privacy preservation method is estimated based on other approaches and displayed efficient outcomes with better privacy factor and detection rate of 0.83 and 0.65, and time is highly reduced by 2815ms using the Cleveland dataset. Originality/value This paper presents the privacy preservation technique for initiating authenticated encrypted access in clouds, which is designed for mutual authentication of requester and data owner in the system.

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A novel authentication and authorization scheme in P2P networking using location-based privacy

Cited by 6 publications

References 23 publications

An Efficient Differential Privacy-Based Method for Location Privacy Protection in Location-Based Services

An Efficient Differential Privacy-Based Method for Location Privacy Protection in Location-Based Services

An Efficient Location Privacy Protection Method for Location-Based Services based on Differential Privacy

Privacy preserving model-based authentication and data security in cloud computing

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