A comprehensive review on the users’ identity privacy for 5G networks

Saeed, Mamoon M.; Hasan, Mohammad Kamrul; Saeed, Rashid A.; Mokhtar, Rania A.; Ali, Elmustafa Sayed; Akhtaruzzaman, Md.; Amanlou, Sanaz; Hossain, A. K. M. Zakir

doi:10.1049/cmu2.12327

Cited by 28 publications

(3 citation statements)

References 92 publications

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“…In multilink IoV, in order to solve the problem that centralized resource management cannot meet the rapid change of channels, resource sharing in IoV is modeled as a multiagent reinforcement learning problem of distributed execution, and then, deep Q network method based on fingerprint is used to solve this problem. is improves the transmission capability of the link and enhances the privacy of the link [25]. To sum up, the challenges facing the IoV in the future are as follows: centralized resource management, joint optimization management of multidimensional resources such as computing, storage and communication, and efficiency of resource allocation algorithm in the complex and changeable communication environment.…”

Section: Related Workmentioning

confidence: 99%

Edge Computing Resource Allocation and Optimization Method and Its Application in Internet of Vehicles Environment

Geng

2022

Security and Communication Networks

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With the emergence of new vehicle-mounted services, such as autonomous driving and augmented reality, the computing capability at the edge of the Internet of vehicles (IoV) has become increasingly demanding, and the edge computing of the IoV has also emerged. With the rise of the IoV, new vehicle-mounted applications keep emerging. Vehicle-mounted applications need to process the sensor data of themselves and other vehicles around them. The amount of data is huge, and processing these sensor data requires powerful computing power. But typical vehicles have limited computing power, so such computation-intensive tasks need to be uploaded to a data center for processing. The MEC (Mobile Edge Computing) technology is a good choice to solve this problem. This paper advocates reasonable scheduling of parked vehicles to cooperate with edge servers for collaborative edge computing and studies the resource scheduling scheme under the target of user relative satisfaction. This paper describes the main entities and related functions in the network and proposes a secure and reliable protocol for interaction between entities. The serviceability of different parked vehicles in collaborative edge computing was evaluated to select stable task performers and solve the resource scheduling optimization problem between parked vehicles and edge servers. The simulation results show that the proposed scheme has better customer satisfaction and maximum overhead than the existing scheme that only considers using edge server to perform tasks. Therefore, the method of this paper has important theoretical significance and potential practical value.

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Section: Related Workmentioning

confidence: 99%

Edge Computing Resource Allocation and Optimization Method and Its Application in Internet of Vehicles Environment

Geng

2022

Security and Communication Networks

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“…Once malicious illegal terminals access the system, they can easily crash the charging facility, steal charging vehicles' information, and even further implant viruses to make vehicles uncontrollable. Though the 5G protocol optimizes identity security by introducing temporary identification [1], malicious illegal devices can still access the system by forging legal identification. Therefore, it is necessary to design a more reliable access authentication scheme for a vehicle charging network system to ensure system security and full function.…”

Section: Introductionmentioning

confidence: 99%

Trusted Access Authentication Technology for Large-Scale Heterogeneous Terminals in a Vehicle Charging Network System

Zou¹,

Xin²,

Zhang³

et al. 2023

Electronics

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A vehicle charging network system has to access large-scale heterogeneous terminals to collect charging pile status information, which may also give malicious terminals an opportunity to access. Though some general access authentication solutions aimed at only allowing trusted terminals have been proposed, they are difficult to work with in a vehicle charging network system. First, among various heterogeneous terminals with significant differences in computing capabilities, there are inevitably terminals that cannot support computations required for cryptography-based access authentication schemes. Second, though access authentication schemes based on device fingerprints are independent of terminal computing capabilities, their authentication performance is weak in robustness and high in overhead. Third, the access authentication delay is huge since the system cannot withstand heavy concurrent access requests from large-scale terminals. To address the above problems, we propose a reliable and lightweight trusted access authentication solution for terminals in the vehicle charging network system. By cloud, edge, and local servers cooperating to execute authentication tasks, our Cloud-Edge-End Collaborative architecture effectively alleviates the authentication delay caused by high concurrent requests. Each server in the architecture deploys our well-designed unified trusted access authentication (UATT) model based on device fingerprints. With ingenious data construction and the powerful swin-transformer network, the UATT model can provide robust and low-overhead authentication services for heterogeneous terminals. To minimize authentication latency, we further design an A2C-based authentication task scheduling scheme to decide which server executes the current task. Comprehensive experiments demonstrate our solution can authenticate terminals with an accuracy higher than 98% while reducing the required data packets by two orders of magnitude, and it can effectively reduce authentication latency.

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“…The Wi-Fi network selection method specified in the Wi-Fi calling standard [34][35][36] does not provide any mechanism to verify the legitimacy of the network. The network selection is only based on radio parameters, which means that terminals using Wi-Fi calling technology are vulnerable to MitM attacks [37][38][39].…”

mentioning

confidence: 99%

VoWi‐Fi security threats: Address resolution protocol attack and countermeasures

Lu,

Liu,

Chang

et al. 2024

IET Networks

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B5G/6G networks are facing challenges in the deployment of additional base stations. However, Taiwan's four major operators have launched VoWi‐Fi calling services to maintain signal quality and coverage for customers. These services pose potential threats when users connect to untrusted Wi‐Fi networks. Therefore, the authors utilised commercial equipment to study the security of VoWi‐Fi calling services offered by Taiwan's four major telecom companies. The authors employed address resolution protocol attack methods to develop two verification attacks that bypass existing security measures: one for dropping session initiation protocol packets and the other for dropping voice call packets, both capable of circumventing current security defences. Through real‐world experiments, the authors confirmed their feasibility and assessed their potential harm. Consequently, two defence methods are proposed. The first is an anti‐attack algorithm for app and device manufacturers to detect the security of the user's calling environment. The second is a recommendation for telecom operators to implement new detection mechanisms to safeguard user rights.

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A comprehensive review on the users’ identity privacy for 5G networks

Cited by 28 publications

References 92 publications

Edge Computing Resource Allocation and Optimization Method and Its Application in Internet of Vehicles Environment

Edge Computing Resource Allocation and Optimization Method and Its Application in Internet of Vehicles Environment

Trusted Access Authentication Technology for Large-Scale Heterogeneous Terminals in a Vehicle Charging Network System

VoWi‐Fi security threats: Address resolution protocol attack and countermeasures

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