MADPTM: Mix zones and dynamic pseudonym trust management system for location privacy

Memon, Imran; Mirza, Hamid Turab

doi:10.1002/dac.3795

Cited by 14 publications

(7 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fog computing is a highly virtualized platform that provides compute, storage, and networking services between end devices and traditional Cloud computing data centers offering low latency and location awareness, geographical distribution, mobility support, interoperability, and real-time interactions [2]. These attributes make fog computing the appropriate platform that meets all VANET scenarios' requirements [5,6]. However, as the number of vehicles increases, so does the amount of data generated by these vehicles.…”

Section: Iot Architecturementioning

confidence: 99%

See 1 more Smart Citation

Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks

et al. 2021

Self Cite

View full text Add to dashboard Cite

Many algorithms use clustering to improve vehicular ad hoc network performance. The expected points of many of these approaches support multiple rounds of data to the roadside unit and constantly include clustering in every round of single-hop data transmission towards the road side unit; however, the clustering in every round maximizes the number of control messages and there could be the possibility of collision and decreases in network energy. Multi-hop transmission prolongs the cluster head node’s lifetime and boosts the network’s efficiency. Accordingly, this article proposes a new fuzzy-clustering-based routing algorithm to benefit from multi-hop transmission clustering simultaneously. This research has analyzed the limitation of clustering in each round, different algorithms were used to perform the clustering, and multi-hop routing was used to transfer the data of every cluster to the road side unit. The fuzzy logic was used to choose the head node of each cluster. Three parameters, (1) distance of each node, (2) remaining energy, and (3) number of neighbors of every node, were considered as fuzzy criteria. The results of this research were compared to various other algorithms in relation to parameters like dead node in every round, first node expire, half node expire, last node expire, and the network lifetime. The simulation results show that the proposed approach outperforms other methods. On the other hand, the vehicular ad hoc network (VANET) environment is vulnerable at the time of data transmission. The NS-2 software tool was used to simulate and evaluate the proposed fuzzy logic opportunistic routing’s performance results concerning end-to-end delay, packet delivery, and network throughput. We compare to the existing protocols, such as fuzzy Internet of Things (IoT), two fuzzy, and Fuzzy-Based Driver Monitoring System (FDMS). The performance comparison also emphasizes an effective utilization of the resources. Simulations on the highway environment show that the suggested protocol has an improved Quality of Service (QoS) efficiency compared to the above published methods in the literature.

show abstract

Section: Iot Architecturementioning

confidence: 99%

“…These updates are very costly in many ways. Each update leads to increased bandwidth usage, packet advancement delay, and increased collision risk in the media access layer [5]. Packet collision will cause packet loss, affecting routing efficiency, and, consequently, a crowded condition occurs when the channel is used by vehicles.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…In addition,the untrusted LBS server can also obtain all the information about the service requester vehicle [11]. Memo et al [12] proposed a new hybrid zone and dynamic pseudonym trust management system, designed to prevent attackers from under privacy-enhanced road networks. When the pseudonym is expired, the dynamic pseudonym trust management system is proposed with the help of the report server, and a series of simulations are carried out under many trust attack models.…”

Section: B Motivationmentioning

confidence: 99%

“…to construct the cloaked region by Eq (11) and Eq (12). After the dummy locations are generated, it is merged with L into candidate anonymous group I.…”

mentioning

confidence: 99%

Service Recommendation Middleware Based on Location Privacy Protection in VANET

2020

View full text Add to dashboard Cite

With the help of location-based services (LBS), it makes driving more convience for drivers. However, because the untrusted LBS server may leak the user's location information, the user's privacy is threatened. Moreover, the existing methods of location privacy protection do not take into account the impact of context on privacy protection demand. In addition, heterogeneous data sensed by vehicles also increases the complexity of application development. In order to solve the above problems, we propose a context-based location privacy protection middleware architecture, named PP-OSGi. The middleware simplifies application development by shielding the heterogeneity of vehicle sensed data and upper-layer applications. Furthermore, in order to protect the real location information of service request vehicles under different vehicle densities in a certain area, we propose a dynamically adjustable k-anonymous (DAK) algorithm and a location privacy protection (DLP) algorithm based on a dummy location, which are all encapsulated in PP-OSGi. The DAK and DLP algorithms dynamically determine the location privacy protection strength in different contexts based on the user's location privacy preference model, select an anonymous group of neighboring vehicles to construct a anonymous area, and obtain a dummy location of the service request vehicle. The experimental results show that, under the premise of protecting the location privacy of vehicles, the success rate of service requests is improved and the communication cost between vehicles is reduced.

show abstract

“…Finally, we have not discussed how technical solutions currently available (e.g., [45]) could be adapted to support the implementation of GDPR. Guidelines about technical solutions which are in line with GDPR's requirements (or strategies to fine-tune them for the goals of GDPR) are also an important aspect which could ease the life of developers but exploring them was beyond the scope of this study.…”

Section: Limitationsmentioning

confidence: 99%

Complying with Privacy Legislation: From Legal Text to Implementation of Privacy-Aware Location-Based Services

Ataei

Degbelo

Kray

et al. 2018

IJGI

View full text Add to dashboard Cite

An individual's location data is very sensitive geoinformation. While its disclosure is necessary, e.g., to provide location-based services (LBS), it also facilitates deep insights into the lives of LBS users as well as various attacks on these users. Location privacy threats can be mitigated through privacy regulations such as the General Data Protection Regulation (GDPR), which was introduced recently and harmonises data privacy laws across Europe. While the GDPR is meant to protect users' privacy, the main problem is that it does not provide explicit guidelines for designers and developers about how to build systems that comply with it. In order to bridge this gap, we systematically analysed the legal text, carried out expert interviews, and ran a nine-week-long take-home study with four developers. We particularly focused on user-facing issues, as these have received little attention compared to technical issues. Our main contributions are a list of aspects from the legal text of the GDPR that can be tackled at the user interface level and a set of guidelines on how to realise this. Our results can help service providers, designers and developers of applications dealing with location information from human users to comply with the GDPR.using location data of their users, i.e., location-based services (LBS). Given that in the digital age "privacy goes global" [6], the impacts of the GDPR will be felt far beyond the boundaries of Europe.While this new law promises to strengthen the rights of individuals, it also poses challenges to the designers and developers of systems that process personal data (e.g., location data). On the legal level, there are questions as to how compliance can be demonstrated. On a technical level, the law introduces new requirements regarding how data is stored, processed and deleted. While these two perspectives already introduce many challenges, it is also not clear how to realise various requirements that the GDPR formulates with respect to what users should be able to control and regarding how and when certain types of information should be presented to them. Providing material to support developers implementing GDPR is critical, as non-compliant companies could be fined with up to (the greater of) 20 million Euro or 4% of their global annual turnover.Location-based services (LBS) are increasingly ubiquitous systems that deal with geo-information and process the location data of their users. In this paper, we aim to address challenges resulting from the introduction of the GDPR that relate to user interfaces of LBS. Our main contributions are as follows: (1) We systematically analysed the legal text to identify a list of aspects that can be tackled at the user interface level (UI) (Section 3); (2) In addition, we carried out interviews with experts to gain further insights into challenges arising from having to comply with the GDPR as well as into ways of addressing them (Section 4); (3) Based on the outcome of both activities, we compiled a set of guidelines for developers and desi...

show abstract

MADPTM: Mix zones and dynamic pseudonym trust management system for location privacy

Cited by 14 publications

References 61 publications

Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks

Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks

Service Recommendation Middleware Based on Location Privacy Protection in VANET

Complying with Privacy Legislation: From Legal Text to Implementation of Privacy-Aware Location-Based Services

Contact Info

Product

Resources

About