LTE/LTE-A Network Security Data Collection and Analysis for Security Measurement: A Survey

He, Limei; Yan, Zheng; Atiquzzaman, Mohammed

doi:10.1109/access.2018.2792534

Cited by 63 publications

(29 citation statements)

References 61 publications

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“…Parne et al [13] proposed the performance and security enhanced (PSE-AKA) protocol for LTE/LTE-A network, which generated the authentication vectors with small overhead. 5G AKA protocol enhances the AKA protocol of 4G LTE [14] [15] by providing the next party and channel with proof of successful authentication of the UE from the visited network [16]. Idrissi et al [17] proposed enhancement of AKA protocol in order to meet the requirements of authentication and authorization in 5G networks by using a new key framework, which not only improved performance, but also enabled fast re-authentication during handover.…”

Section: B Related Workmentioning

confidence: 99%

Dependability Analysis of 5G-AKA Authentication Service From Server and User Perspectives

et al. 2020

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The fifth generation (5G) technology offers a set of security services in order to provide secure communication to a large number of various devices. 5G Authentication and Key Agreement (5G-AKA) authentication service acts as the first step of securing the 5G network communication. This paper aims to quantitatively analyze the dependability of 5G-AKA authentication service. We develop the continuoustime Markov chain (CTMC) models to capture the operational details of the 5G-AKA authentication services when facing the service failure. We also derive formulas for calculating metrics of interest, including Defects Per Million (DPM), authentication service's first restoration time from failure and total cost of ownership (TCO). Extensive numerical analysis is applied to investigate the impact of parameters on the evaluation metrics. INDEX TERMS 5G-AKA protocol, availability, defects per million, first restoration time, total cost of ownership.

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Section: B Related Workmentioning

confidence: 99%

Dependability Analysis of 5G-AKA Authentication Service From Server and User Perspectives

et al. 2020

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“…Although the methods to detect various attacks have been intensively researched and reported in the literature, none of them provide a thorough review on security data collection and data analytics for detecting mainstream attacks in WSNs. Some recent surveys focus on security data collection [93], [94] and data analytics in the Internet [92], Ad Hoc network [96], LTE/LTE-A network [97] and mobile phones [95], rather than WSN. Some surveys [6][7][8], [12] mainly focus on a limited number of typical attacks and lack detailed performance analysis under uniform criteria in WSN.…”

Section: Introductionmentioning

confidence: 99%

Data Collection for Security Measurement in Wireless Sensor Networks: A Survey

Xie

Yan

Yao

et al. 2019

IEEE Internet Things J.

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154

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Wireless Sensor Network (WSN) is an indispensible part of IoT that has been applied in many fields to monitor environments and collect data from surroundings. However, WSNs are highly susceptible to attacks due to its unique characteristics: large-scale, self-organization, dynamic topology and constrained resources. A number of systems have been proposed to effectively detect varieties of attacks in WSNs. However, most previous surveys on WSN attacks focus on detection methods for only one or two types of attacks and lack detailed performance analysis. Additionally, the literature lacks comprehensive studies on security-related data (in short security data) collection in WSNs. In this paper, we first provide an overview of WSNs and classify the attacks in WSNs based on protocol stack layers. For the purpose of WSN security measurement, we then research attack detection methods of eleven mainstream attacks. We extract security data that play an important role for detecting security anomaly towards security measurement. We further elaborate the advantages and disadvantages of the existing detection methods based on a number of evaluation criteria. Finally, we highlight a number of open problems in this research field based on our thorough survey and conclude this paper with possible future research directions.

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“…In addition, increased capacity is an on-going concern owing to continuous growth of the number of users. The rapid development in cellular networks, for instance, the long-term evolution (LTE) and LTE-advance (LTE-A) allowed to help the user to receive high bandwidth and fast connectivity [1][2][3]. Nonetheless, wide dissemination of portable devices and new applications lead Manuscript to higher requirements on networks, since signaling overhead directly affects the cellular performance.…”

Section: Introductionmentioning

confidence: 99%

“…Nonetheless, wide dissemination of portable devices and new applications lead Manuscript to higher requirements on networks, since signaling overhead directly affects the cellular performance. High levels of signaling overhead result in increased computational cost and more power consumption [1]. This could take a form of high load and data traffic in the core network which harms the cellular network reliability.…”

Section: Introductionmentioning

confidence: 99%

“…The development in signaling overhead may tackle the problem of data traffic by 50% [4]. In addition, LTE and LTE-A have a flat IP-based heterogeneous architecture that increases the signaling overhead [1]. Accordingly, the research focus was shifted from signaling overhead to handling greater amount of data and increasing speed connectivity.…”

Section: Introductionmentioning

confidence: 99%

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Location management in LTE networks using multi-objective particle swarm optimization

Hashim

Abido

2019

Computer Networks

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Long-term evolution (LTE) and LTE-advance (LTE-A) are widely used efficient network technologies serving billions of users, since they are featured with high spectrum efficiency, less latency, and higher bandwidth. Despite remarkable advantages offered by these technologies, signaling overhead remains a major issue in accessing the network. In particular, the load of signaling is mainly attributed to location management. This paper proposes an efficient approach for minimizing the total signaling overhead of location management in LTE networks using multi-objective particle swarm optimization (MOPSO). Tracking area update (TAU) and paging are considered to be the main elements of the signaling overhead of optimal location management in LTE. In addition, the total inter-list handover contributes significantly to the total signaling overhead. However, the total signaling cost of TAU and paging is adversely related to the total inter-list handover. Hence, two cost functions should be minimized where the first function is the total signaling cost of TAU and paging and the second cost function is the total signaling overhead. The trade-off between these two objectives can be circumvented by MOPSO, which alleviates the total signaling overhead. A set of non-dominated solutions on the Pareto-optimal front is defined and the best compromise solution is presented. The proposed algorithm results in a feasible compromise solution between the two objectives, minimizing the signaling overhead, and in turn, the consumption of the power battery of the user. The efficacy and the robustness of the proposed algorithm have been proven through a large scale environment problem illustrative example. The location management in LTE networks using MOPSO best compromise solution has been compared to the results obtained by a mixed integer non-linear programming (MINLP) algorithm.

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LTE/LTE-A Network Security Data Collection and Analysis for Security Measurement: A Survey

Cited by 63 publications

References 61 publications

Dependability Analysis of 5G-AKA Authentication Service From Server and User Perspectives

Dependability Analysis of 5G-AKA Authentication Service From Server and User Perspectives

Data Collection for Security Measurement in Wireless Sensor Networks: A Survey

Location management in LTE networks using multi-objective particle swarm optimization

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