Object

Title: k-anonymity in Resource Allocation for Vehicle-to-Everything (V2X) Systems, Journal of Telecommunications and Information Technology, 2025, Special Issue

Group publication title:

2025, Special Issue, JTIT-artykuły

Description:

kwartalnik

Abstrakt:

Sixth generation (6G) vehicle-to-everything (V2X) systems face numerous security threats, including Sybil and denial-of-service (DoS) cyber-attacks. To provide a secure exchange of data and protect users' identities in 6G V2X communication systems, anonymization techniques - such as k-anonymity - can be used. In this work, we study centralized vs. k-anonymity based resource allocation methods in a vehicular edge computing (VEC) network. Allocation decisions for vehicular networks are classically posed as a centralized optimization task. Therefore, an information flow is transmitted from the vehicles to the communication premises. In addition to a resource allocation decision, vehicle information is not required. We analyze the centralized allocation versus $k$-anonymous allocation models. To show a potential deterioration introduced by anonymity, we quantify the gap in the optimal goal in two cases: based on resource allocation and with aim at energy reduction. Our numerical results indicate that energy consumption rises by 1% in smaller scenarios and 23% in medium scenarios, whereas it decreases by 14% in larger scenarios.

Number:

Special Issue

Publisher:

National Institute of Telecommunications

Resource Identifier:

oai:bc.itl.waw.pl:2383

DOI:

10.26636/jtit.2025.FITCE2024.1998

eISSN:

on-line: ISSN 1899-8852

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

License:

CC BY 4.0

Object collections:

Last modified:

Jun 25, 2025

In our library since:

Jun 25, 2025

Number of object content hits:

0

All available object's versions:

https://ribes-54.man.poznan.pl/publication/2700

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