Tytuł:

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

Tytuł publikacji grupowej:

2025, Special Issue, JTIT-artykuły

Autor:

Vejar, Andres ; Marzuk, Faysal ; Chołda, Piotr

Temat i słowa kluczowe:

k-anonymity ; privacy-enhancing technologies ; resource allocation in 6G ; vehicle-to-everything (V2X) systems

Opis:

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.

Numer:

Special Issue

Wydawca:

National Institute of Telecommunications

Data wydania:

2025, Special Issue

Typ zasobu:

artykuł

DOI:

10.26636/jtit.2025.FITCE2024.1998

eISSN:

on-line: ISSN 1899-8852

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności

Licencja:

CC BY 4.0