LGTH: A lightweight group authentication protocol for machine-type communication in LTE networks

Lai, Chengzhe; Li, Hui; Lu, Rongxing; Jiang, Rong; Shen, Xuemin

doi:10.1109/glocom.2013.6831176

Cited by 18 publications

(19 citation statements)

References 9 publications

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“…The four authentication protocols in [64,78,80,157] use the idea of mutual authentication. The two authentication protocols [41] and [40] use the idea of authentication acknowledge phase. With the protocol [151], all packets are fully encrypted with the receiver's public key, which can prevent the MITM attack.…”

Section: Man-in-the-middle Attackmentioning

confidence: 99%

“…These authentication protocols use three ideas, namely, Timestamp, Hash function, and Random numbers. The idea of random numbers is used by [41,56,40], and [42]. The idea of hash function is used by protocols [52] and [155], such as the IPSec protocol implements an anti-replay mechanism based on Message Authentication Code (MAC) [167].…”

Section: Replay Attackmentioning

confidence: 99%

“…The protocol [65] use two matching algorithms, namely, correlation coefficientbased matching algorithm (C-MA) and deviation ratio-based matching algorithm (D-MA). The aggregate message authentication codes (AMACs) [169] is used by both schemes [64] and [40]. The AMAC tool is a tuple of the following probabilistic polynomial-time algorithms: Authentication algorithm, Aggregation algorithm, and Verification algorithm.…”

Section: Time-domain Transformationmentioning

confidence: 99%

“…The protocol [78] uses the AVISPA tool to prove that the protocol allows a user to establish a session key with a sensor node of his choice near the end of the authentication process. In addition, there are four authentication protocols [41,40,70,157] that use the ProVerif tool [217], which is an automatic cryptographic protocol verifier, in the formal model, called Dolev-Yao model [222]. The protocol [41] uses the ProVerif tool in order to proof the mutual authentication between the mobile equipment and its serving network.…”

Section: Formal Security Verification Techniquesmentioning

confidence: 99%

“…The protocol [41] uses the ProVerif tool in order to proof the mutual authentication between the mobile equipment and its serving network. The protocol [40] uses the ProVerif tool to prove that the proposed protocol can implement mutual authentication and key agreement between multiple devices and the core network simultaneously. The protocol [157] uses the ProVerif tool prove that the proposed protocol can pass the verifications according to the Dolev-Yao model [222].…”

Section: Formal Security Verification Techniquesmentioning

confidence: 99%

See 4 more Smart Citations

Authentication Protocols for Internet of Things: A Comprehensive Survey

Ferrag

Μαγλαράς

Janicke

et al. 2017

Security and Communication Networks

233

131

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In this paper, a comprehensive survey of authentication protocols for Internet of Things (IoT) is presented. Specifically more than forty authentication protocols developed for or applied in the context of the IoT are selected and examined in detail. These protocols are categorized based on the target environment: (1) Machine to Machine Communications (M2M), (2) Internet of Vehicles (IoV), (3) Internet of Energy (IoE), and (4) Internet of Sensors (IoS). Threat models, countermeasures, and formal security verification techniques used in authentication protocols for the IoT are presented. In addition a taxonomy and comparison of authentication protocols that are developed for the IoT in terms of network model, specific security goals, main processes, computation complexity, and communication overhead are provided. Based on the current survey, open issues are identified and future research directions are proposed.

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Section: Man-in-the-middle Attackmentioning

confidence: 99%

Section: Replay Attackmentioning

confidence: 99%

Section: Time-domain Transformationmentioning

confidence: 99%

Section: Formal Security Verification Techniquesmentioning

confidence: 99%

Section: Formal Security Verification Techniquesmentioning

confidence: 99%

See 3 more Smart Citations

Authentication Protocols for Internet of Things: A Comprehensive Survey

Ferrag

Μαγλαράς

Janicke

et al. 2017

Security and Communication Networks

233

131

View full text Add to dashboard Cite

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SI‐AKAV: Secure integrated authentication and key agreement for cellular‐connected IoT devices in vehicular social networks

Esfahani

Decouchant

Völp

et al. 2021

Trans Emerging Tel Tech

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Vehicular social networking (VSN), as a novel communication paradigm, exploits opportunistic encounters among vehicles for mobile social networking, collaborative content dissemination, and to provide a variety of services for users and their vehicles. VSNs promise to solve problems such as the ever-increasing number of road accidents, or traffic congestion, by forming networks of vehicles whose users share common interests. However, in particular in urban regions, VSNs benefit from extending far beyond vehicular networks with their road side units, by integrating all kinds of sensors to provide higher accuracy and additional information in increasingly crowded areas. Integrating such sensors turns VSNs into networks of cellular-connected IoT devices with mobile cells and raises the question how to authenticate all these units in a scalable, efficient, and anonymous manner. In this article, we present SI-AKAV, an efficient group-local authentication scheme for cellular-connected IoT devices, which is specifically tailored to overcome the high computational costs of existing schemes, while improving in all of the above dimensions. For example, compared with the state-of-the-art authentication and key agreement protocol (AKA), SI-AKAV reduces communication volume by 29% and computation overhead by 41%.

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An edge-assisted group authentication scheme for the narrowband internet of things

Zhao,

Chen,

Wang

2024

Complex Intell. Syst.

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As an emerging wireless communication technology, narrowband Internet of Things is widely used in various scenarios, but it also brings new security problems, especially the group authentication between terminal devices and servers. In narrowband Internet of Things, terminal devices are often deployed in unattended environments, which are vulnerable to various attacks and controlled by adversaries, resulting in identity information leakage. Secondly, a large number of terminal devices send authentication request information to the server at the same time, which is easy to cause network signaling congestion, and the centralized calculation mode of the server will cause a large delay in the authentication process. To solve these problems, we propose an edge-assisted group authentication scheme for narrowband Internet of Things. Firstly, a lightweight encryption algorithm LCHAOSAES was used to encrypt the terminal device identity to prevent the terminal device identity information leakage. Then, the edge computing method was used to add an edge network layer to the NB-IoT system architecture to assist in completing the group authentication of massive terminal devices, and the edge assistance could realize decentralization and reduce the load of centralized processing of the server. The Burrows Abadi Needham logic verification, informal security analysis and performance analysis show that the proposed scheme is robust under malicious attacks such as replay attack, man-in-the-middle attack and insider attack, and has less signaling overhead and delay.

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LGTH: A lightweight group authentication protocol for machine-type communication in LTE networks

Cited by 18 publications

References 9 publications

Authentication Protocols for Internet of Things: A Comprehensive Survey

Authentication Protocols for Internet of Things: A Comprehensive Survey

SI‐AKAV: Secure integrated authentication and key agreement for cellular‐connected IoT devices in vehicular social networks

An edge-assisted group authentication scheme for the narrowband internet of things

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