Location Privacy Protection Scheme for LBS in IoT

Li, Hongtao; Xue, Xingsi; Li, Zhiying; Long, Li; Xiong, Jinbo

doi:10.1155/2021/9948543

Cited by 8 publications

(5 citation statements)

References 34 publications

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“…[26] presented an approach for creating realistic dummies that consider the constraints of the actual environment. [46] suggested a K-anonymity-based strategy for protecting location privacy. This paper proposes Voronoi diagram and GeoHash encoding model (G-V anonymity algorithm), which can find k neighbors in the anonymous area and make the user's location data meet the k-anonymity requirement in the area.…”

Section: A Iotmentioning

confidence: 99%

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A Novel Deception-Based Scheme to Secure the Location Information for IoBT Entities

Alkanjr

Mahgoub

2023

IEEE Access

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The Internet of Battlefield Things (IoBT) is a subdomain of the Internet of Things (IoT) that applies to a battlefield. Due to the limited communication infrastructure, the entities in the battlefield communicate with each other using Device-2-Device (D2D) communication. D2D is used to send and request extremely sensitive data as well as the location information of other entities. Thus, to execute tasks and avoid information leaks, it is critical to protect the location data of soldiers and equipment. To the best of our knowledge, location privacy issues in IoBT have not been fully investigated. The attackers are expected to probe the network before attacking valuable assets, giving them an advantage over the defenders. This advantage can be offset by using deception-based methods. In this study, we propose a deceptionbased scheme to enhance the location information security of IoBT nodes. A novel encryption method is proposed along with dummy identities and dummy packets. We develop a mathematical model to evaluate the proposed scheme in terms of safety time, probability of failure, and probability of identifying the real packet. The obtained results demonstrate that the proposed method is efficient in reducing the probability of identifying the real location of the communicating entities. We develop NetLogo simulation to validate the mathematical model.

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Section: A Iotmentioning

confidence: 99%

“…Thus, users have the option to decide whether to disclose their precise positions to the positioning nodes in order to look for relevant services. Other approaches for preserving location privacy were presented in [27], [28], [29], and [30].…”

Section: A Iotmentioning

confidence: 99%

A Novel Deception-Based Scheme to Secure the Location Information for IoBT Entities

Alkanjr

Mahgoub

2023

IEEE Access

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“…The presence of signal reflections, diffractions, and obstructions lead to inaccuracies and multipath effects, impacting positioning accuracy. Overcoming these challenges is crucial for reliable and accurate positioning in urban and indoor environments [77].…”

Section: IVmentioning

confidence: 99%

A Comprehensive Review of the GNSS with IoT Applications and Their Use Cases with Special Emphasis on Machine Learning and Deep Learning Models

Agarwal,

Ainapure,

Shukla

2023

IJRITCC

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This paper presents a comprehensive review of the Global Navigation Satellite System (GNSS) with Internet of Things (IoT) applications and their use cases with special emphasis on Machine learning (ML) and Deep Learning (DL) models. Various factors like the availability of a huge amount of GNSS data due to the increasing number of interconnected devices having low-cost data storage and low-power processing technologies - which is majorly due to the evolution of IoT - have accelerated the use of machine learning and deep learning based algorithms in the GNSS community. IoT and GNSS technology can track almost any item possible. Smart cities are being developed with the use of GNSS and IoT. This survey paper primarily reviews several machine learning and deep learning algorithms and solutions applied to various GNSS use cases that are especially helpful in providing accurate and seamless navigation solutions in urban areas. Multipath, signal outages with less satellite visibility, and lost communication links are major challenges that hinder the navigation process in crowded areas like cities and dense forests. The advantages and disadvantages of using machine learning techniques are also highlighted along with their potential applications with GNSS and IoT.

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“…The scheme uses MEC nodes as transit stations for data transmission, which can reduce the distance and number of data transmissions while protecting data privacy and improving the speed and efficiency of data transmission. A location privacy protection scheme in IoT-based location-based services (LBS) is proposed in the literature [14].…”

Section: Introductionmentioning

confidence: 99%

A study of user data privacy protection algorithms in the context of metaverse based on emotional AI IoT

Shi,

Zhu

2023

Applied Mathematics and Nonlinear Sciences

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In the context of the metaverse, user data privacy protection has become an important issue. In this paper, firstly, a user data privacy leakage risk assessment scheme is designed by attribute sensitivity calculation, attribute similarity calculation, and attribute association calculation. Then a data privacy protection algorithm based on differential privacy is proposed, and the differential privacy data protection algorithm and implementation mechanism are described. Finally, the performance of the differential privacy protection algorithm is evaluated by analyzing the learning performance and protection performance of the algorithm. The results show that the learning performance of the differential privacy protection model decreases with increasing τ when q = 0 The larger q is, the better the protection performance of the model is, and the optimal τ value also shows a trend to the right. This study provides an effective method for user data privacy protection under the metaverse and offers new ideas for research in related fields.

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Location Privacy Protection Scheme for LBS in IoT

Cited by 8 publications

References 34 publications

A Novel Deception-Based Scheme to Secure the Location Information for IoBT Entities

A Novel Deception-Based Scheme to Secure the Location Information for IoBT Entities

A Comprehensive Review of the GNSS with IoT Applications and Their Use Cases with Special Emphasis on Machine Learning and Deep Learning Models

A study of user data privacy protection algorithms in the context of metaverse based on emotional AI IoT

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