MEC-enabled 5G Use Cases: A Survey on Security Vulnerabilities and Countermeasures

RanaweeraPasika,; JurcutAnca,; Liyanage, Madhusanka

doi:10.1145/3474552

Cited by 58 publications

(34 citation statements)

References 118 publications

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“…Since wireless terminals are bound to user identities, privileged users will authorize signatures to other terminals in order to complete the signatures together more efficiently [6]. How to protect the privacy of the wireless terminal's identity while completing the data transmission between the wireless terminal and the MEC, which has essential research significance [7,8]. At present, the common methods mainly include group signature, ring signature, proxy signature, etc.…”

Section: Introductionmentioning

confidence: 99%

Identity-Based Edge Computing Anonymous Authentication Protocol

Kang¹,

Ning²,

Zhang³

et al. 2023

CMC

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With the development of sensor technology and wireless communication technology, edge computing has a wider range of applications. The privacy protection of edge computing is of great significance. In the edge computing system, in order to ensure the credibility of the source of terminal data, mobile edge computing (MEC) needs to verify the signature of the terminal node on the data. During the signature process, the computing power of edge devices such as wireless terminals can easily become the bottleneck of system performance. Therefore, it is very necessary to improve efficiency through computational offloading. Therefore, this paper proposes an identitybased edge computing anonymous authentication protocol. The protocol realizes mutual authentication and obtains a shared key by encrypting the mutual information. The encryption algorithm is implemented through a thresholded identity-based proxy ring signature. When a large number of terminals offload computing, MEC can set the priority of offloading tasks according to the user's identity and permissions, thereby improving offloading efficiency. Security analysis shows that the scheme can guarantee the anonymity and unforgeability of signatures. The probability of a malicious node forging a signature is equivalent to cracking the discrete logarithm puzzle. According to the efficiency analysis, in the case of MEC offloading, the computational complexity is significantly reduced, the computing power of edge devices is liberated, and the signature efficiency is improved.

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Section: Introductionmentioning

confidence: 99%

Identity-Based Edge Computing Anonymous Authentication Protocol

Kang¹,

Ning²,

Zhang³

et al. 2023

CMC

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“…They introduce a technique to select the proximal MEC platform with unique selection criteria. Ranaweera et al [ 127 ] highlighted some security flaws in 5 G-based IoT use cases that have been implemented in the MEC setting. They suggested solutions to mitigate the security flaws that they identified.…”

Section: Multi-access Edge Computing As a Resource To Provide Securit...mentioning

confidence: 99%

Intrusion Detection in Internet of Things Systems: A Review on Design Approaches Leveraging Multi-Access Edge Computing, Machine Learning, and Datasets

Gyamfi

Jurcut

2022

Sensors

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The explosive growth of the Internet of Things (IoT) applications has imposed a dramatic increase of network data and placed a high computation complexity across various connected devices. The IoT devices capture valuable information, which allows the industries or individual users to make critical live dependent decisions. Most of these IoT devices have resource constraints such as low CPU, limited memory, and low energy storage. Hence, these devices are vulnerable to cyber-attacks due to the lack of capacity to run existing general-purpose security software. It creates an inherent risk in IoT networks. The multi-access edge computing (MEC) platform has emerged to mitigate these constraints by relocating complex computing tasks from the IoT devices to the edge. Most of the existing related works are focusing on finding the optimized security solutions to protect the IoT devices. We believe distributed solutions leveraging MEC should draw more attention. This paper presents a comprehensive review of state-of-the-art network intrusion detection systems (NIDS) and security practices for IoT networks. We have analyzed the approaches based on MEC platforms and utilizing machine learning (ML) techniques. The paper also performs a comparative analysis on the public available datasets, evaluation metrics, and deployment strategies employed in the NIDS design. Finally, we propose an NIDS framework for IoT networks leveraging MEC.

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“…In addition to performance degradations due to the virtualization environment, security and privacy concerns are raised when the resources on a hardware computing platform are shared [211].…”

Section: D: Securitymentioning

confidence: 99%

Operating Systems and Hypervisors for Network Functions: A Survey of Enabling Technologies and Research Studies

et al. 2022

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Scalable and flexible communication networks increasingly conduct the packet processing for Network Functions (NFs) in General Purpose Computing (GPC) platforms. The input/output (I/O)-intensive and latency-sensitive packet processing is challenging for the operating systems and hypervisors running on GPC platforms. This article surveys the existing enabling technologies and research studies on operating system and hypervisor aspects that directly influence the packet processing for NFs on GPC platforms. We organize this survey according to the main categories abstraction approach, memory access, and I/O strategy. We further categorize abstraction approach technologies and research studies into the categories operation systems, hypervisors, and containers. We partition the memory access category into the two subcategories of memory allocation and memory access, while we partition the I/O strategy category into the sub-categories I/O device virtualization and I/O device access. Our survey gives a comprehensive summary of the capabilities and limitations of the existing enabling technologies and researched approaches for abstraction, memory access, and I/O for NF packet processing. We outline critical future research directions for advancing NF packet processing on GPC platforms.

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MEC-enabled 5G Use Cases: A Survey on Security Vulnerabilities and Countermeasures

Cited by 58 publications

References 118 publications

Identity-Based Edge Computing Anonymous Authentication Protocol

Identity-Based Edge Computing Anonymous Authentication Protocol

Intrusion Detection in Internet of Things Systems: A Review on Design Approaches Leveraging Multi-Access Edge Computing, Machine Learning, and Datasets

Operating Systems and Hypervisors for Network Functions: A Survey of Enabling Technologies and Research Studies

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