LCPPA: Lattice‐based conditional privacy preserving authentication in vehicular communication

Dharminder, Dharminder; Mishra, Dheerendra

doi:10.1002/ett.3810

Cited by 29 publications

(22 citation statements)

References 33 publications

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“…For instance, in [156] the authors propose an encryption mechanism based on controlled alternate quantum walks for privacy preserving of healthcare images in IoT. Moreover, the work in [157] presents a latticebased conditional privacy preserving authentication mechanism for post-quantum vehicular communication. Adding quantum noise to protect quantum data will lead the security concept of DP towards quantum differential privacy.…”

Section: Privacymentioning

confidence: 99%

The Roadmap to 6G Security and Privacy

Porambage

Gûr

Osorio

et al. 2021

IEEE Open J. Commun. Soc.

247

103

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Although the fifth generation (5G) wireless networks are yet to be fully investigated, the visionaries of the 6th generation (6G) echo systems have already come into the discussion. Therefore, in order to consolidate and solidify the security and privacy in 6G networks, we survey how security may impact the envisioned 6G wireless systems, possible challenges with different 6G technologies, and the potential solutions. We provide our vision on 6G security and security key performance indicators (KPIs) with the tentative threat landscape based on the foreseen 6G network architecture. Moreover, we discuss the security and privacy challenges that may encounter with the available 6G requirements and potential 6G applications. We also give the reader some insights into the standardization efforts and research-level projects relevant to 6G security. In particular, we discuss the security considerations with 6G enabling technologies such as distributed ledger technology (DLT), physical layer security, distributed AI/ML, visible light communication (VLC), THz, and quantum computing. All in all, this work intends to provide enlightening guidance for the subsequent research of 6G security and privacy at this initial phase of vision towards reality.

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Section: Privacymentioning

confidence: 99%

The Roadmap to 6G Security and Privacy

Porambage

Gûr

Osorio

et al. 2021

IEEE Open J. Commun. Soc.

247

103

View full text Add to dashboard Cite

show abstract

“…There are two hard problems, a small integer solution (SIS) and inhomogeneous small integer solution (ISIS), related to q-ary lattices. The ISIS problem is more complex; solving this problem for a small solution is sufficiently difficult [27]. with integer modulo q, a real constant β and a random vector y∈Z m q find a vector x ∈ Z n \{0} such that Ax = y (mod q) and || x || < β [27].…”

Section: Definition 3 (Shortest Vector Problem (Svp)) Given Any Basimentioning

confidence: 99%

A Scalable and Secure Group Key Management Method for Secure V2V Communication

Aliev

Kim

Choi

2020

Sensors

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Safety applications based on vehicle-to-everything (V2X) communications can significantly enhance road safety and reduce traffic fatalities. Ensuring the security and privacy of the vehicular network is essential for the widespread adoption of V2X communications for commercial use. V2X safety and service applications require periodic broadcast communications among all the vehicles. However, compared to unicast communication, it is extremely challenging to provide broadcast communication with network security requirements such as confidentiality, in infotainment contents distribution, sensor data sharing, and security credentials management services. To address the providing confidentiality of vehicle-to-vehicle (V2V) broadcasting, we propose a group key management and message encryption method that is secure, lightweight, and scalable. The proposed group key management method can efficiently handle various scenarios like a node joining or leaving the group, with scalable rekeying algorithms. It employs a distributed and scalable architecture that offers several advantages such as the reduction of the key management overhead and the enhancement of the security level by keeping the key sizes with large networks. In addition, the proposed method employs a lightweight matrix-based encryption algorithm that can be easily applicable with the proposed group key management method. Further, we have implemented the proposed method and evaluated the performance using a V2V network simulator with several networks of highly dynamic group members. The simulation results show that the proposed method can reduce computation time for group key generation and message encryption by more than 80% compared to existing methods.

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“…Although the incentive mechanism has been improved a lot, users' privacy protection remains inadequate. When users submit sensing data, their sensitive or private information [21][22][23] may be leaked, including identity privacy [24], location privacy, and data privacy. Also, privacy disclosure [25] will reduce users' willingness to participate in sensing tasks.…”

Section: Introductionmentioning

confidence: 99%

Privacy-Preserving Incentive Mechanism for Mobile Crowdsensing

Wan

Yue

Liao

2021

Security and Communication Networks

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Incentive mechanisms are crucial for motivating adequate users to provide reliable data in mobile crowdsensing (MCS) systems. However, the privacy leakage of most existing incentive mechanisms leads to users unwilling to participate in sensing tasks. In this paper, we propose a privacy-preserving incentive mechanism based on truth discovery. Specifically, we use the secure truth discovery scheme to calculate ground truth and the weight of users’ data while protecting their privacy. Besides, to ensure the accuracy of the MCS results, a data eligibility assessment protocol is proposed to remove the sensing data of unreliable users before performing the truth discovery scheme. Finally, we distribute rewards to users based on their data quality. The analysis shows that our model can protect users’ privacy and prevent the malicious behavior of users and task publishers. In addition, the experimental results demonstrate that our model has high performance, reasonable reward distribution, and robustness to users dropping out.

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LCPPA: Lattice‐based conditional privacy preserving authentication in vehicular communication

Cited by 29 publications

References 33 publications

The Roadmap to 6G Security and Privacy

The Roadmap to 6G Security and Privacy

A Scalable and Secure Group Key Management Method for Secure V2V Communication

Privacy-Preserving Incentive Mechanism for Mobile Crowdsensing

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