Cloud-based RFID mutual authentication scheme for efficient privacy preserving in IoV

Fan, Kai; Jiang, Wei; Luo, Qi; Li, Hui

doi:10.1016/j.jfranklin.2019.02.023

Cited by 30 publications

(11 citation statements)

References 6 publications

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“…In [58], a proposed cloud-based authentication scheme using a modular exponential technique firstly encrypts a tag's information regarding communications between IoV and radar. Then, the anonymity of the tag is developed as an efficient way of ensuring data privacy by protecting itse information from malicious actions.…”

Section: B Authentication-based Privacy Preservationmentioning

confidence: 99%

Privacy-Preserving Schemes for Safeguarding Heterogeneous Data Sources in Cyber-Physical Systems

et al. 2021

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Cyber-Physical Systems (CPSs) as in power, water, gas systems and smart grids produce heterogeneous and huge amount of data from various devices and networks, therefore it is essential to develop efficient privacy-preserving techniques for safeguarding system data (telemetry and transactions) from cyber attacks. In order to protect CPSs from prospect cyber-threats, it is essential to discover system components vulnerabilities to prohibit Advanced Persistent Threats (APTs) and keep their generated data secure using privacy-preserving techniques. This paper introduces a comprehensive review of the current privacy-preserving techniques for protecting CPS systems and their data from cyber attacks. Concepts of Privacy preservation and CPSs are discussed, demonstrating CPSs' components and the way these systems could be exploited by either cyber and physical hacking scenarios. Then, classification of privacy preservation according to the way they would be protected, including perturbation, authentication, machine learning (ML), cryptography and blockchain, are explained to illustrate how they would be employed for data privacy preservation. Finally, we show existing challenges, solutions and future research directions of privacy preservation in CPSs.

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Section: B Authentication-based Privacy Preservationmentioning

confidence: 99%

Privacy-Preserving Schemes for Safeguarding Heterogeneous Data Sources in Cyber-Physical Systems

et al. 2021

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“…Existing security technologies can be used in IoV to provide authentication. For instance, Fan et al in [53] have proposed a cloud-based mutual authentication protocol, using Radio Frequency Identification (RFID) technology. Likewise, the authors of [24] have proposed an authentication and secure data transfer algorithm based on the blockchain technology.…”

Section: Security In Iovmentioning

confidence: 99%

Named data networking architecture for internet of vehicles in the era of 5G

Kaci

Rachedi²

2021

Ann. Telecommun.

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Things are interconnected using information and communication technologies in smart cities, forming Internet of Things (IoT). The Internet of Vehicles (IoV) refers to an IoT application, where the urban vehicle fleet forms a worldwide network, using V2X (Vehicle-to-Everything) communications. The 5G is the new generation of cellular networks that will eliminate the bounds of bandwidth, performance, and latency limitations. IoV is one of the high-priority application domains for 5G. Among the under development IEEE Standard regarding 5G, the IEEE P1931.1 standard (named also Real-time Onsite Operations Facilitation (ROOF) Standard) seems to be very promising for IoV requirements. This paper proposes ROOFbased Named Data Vehicular Networking (RND − V n ), a named data networking (NDN) architecture for IoV. In addition to the proposal, we provide SeCrND n (Searchable Encryption for Content Retrieval in NDN), a searchable encryption technique for NDN content retrieval. Furthermore, we propose the intelligent Named Data Caching (iNDC), a machinelearning-based data caching technique for ROOF-based named data networking. The iNDC predicts the number of content requests, such that popular contents are kept as long as possible on roadside units. The proposed iNDC is also used to predict the storage capacity required by each roadside unit. A performance study was conducted to evaluate the performance of machine learning algorithms applied to iNDC. The results show that linear and ridge regressions are the most efficient in terms of content popularity prediction. To predict the capacity of new roadside units, iNDC provides better accuracy using k-Nearest Neighbors.

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“…IoT allows object collection and data exchange, etc. [2], which can perform medical data management, medical information monitoring, and user information analysis. At present, problems such as violating the privacy of medical data and publishing false medical advertisements often appear in the network, and malicious users become more and more complicated and hidden, which brings great security threats to networks.…”

Section: Introductionmentioning

confidence: 99%

User Audit Model Based on Attribute Measurement and Similarity Measurement

Yang

Sun

2020

Security and Communication Networks

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The Internet of Things (IoT) is an open network. And, there are a large number of malicious nodes in the network. These malicious nodes may tamper with the correct data and pass them to other nodes. The normal nodes will use the wrong data for information dissemination due to a lack of ability to verify the correctness of the messages received, resulting in the dissemination of false information on medical, social, and other networks. Auditing user attributes and behavior information to identify malicious user nodes is an important way to secure networks. In response to the user nodes audit problem, a user audit model based on attribute measurement and similarity measurement (AM-SM-UAM) is proposed. Firstly, the user attribute measurement algorithm is constructed, using a hierarchical decision model to construct a judgment matrix to analyze user attribute data. Secondly, the blog similarity measurement algorithm is constructed, evaluating the similarity of blog posts published by different users based on the improved Levenshtein distance. Finally, a user audit model based on a security degree is built, and malicious users are defined by security thresholds. Experimental results show that this model can comprehensively analyze the attribute and behavior data of users and have more accurate and stable performance in the practical application of the network platforms.

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Cloud-based RFID mutual authentication scheme for efficient privacy preserving in IoV

Cited by 30 publications

References 6 publications

Privacy-Preserving Schemes for Safeguarding Heterogeneous Data Sources in Cyber-Physical Systems

Privacy-Preserving Schemes for Safeguarding Heterogeneous Data Sources in Cyber-Physical Systems

Named data networking architecture for internet of vehicles in the era of 5G

User Audit Model Based on Attribute Measurement and Similarity Measurement

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