A survey of broadcast authentication schemes for wireless networks

Grover, Kanika; Lim, Alvin

doi:10.1016/j.adhoc.2014.06.008

Cited by 39 publications

(18 citation statements)

References 33 publications

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“…In this subsection, we will review only the works that are not reviewed in the survey [165] and the articles published in 2016 related to authentication protocols for IoS. For more details about the articles published before 2016, we refer the reader to six surveys published in 2013, 2014, and 2015, namely, [269], [270], [271], [272], [273], [274].…”

Section: Authentication Protocols For Iosmentioning

confidence: 99%

Authentication Protocols for Internet of Things: A Comprehensive Survey

Ferrag

Μαγλαράς

Janicke

et al. 2017

Security and Communication Networks

229

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: Authentication Protocols For Iosmentioning

confidence: 99%

Authentication Protocols for Internet of Things: A Comprehensive Survey

Ferrag

Μαγλαράς

Janicke

et al. 2017

Security and Communication Networks

229

131

View full text Add to dashboard Cite

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“…The basic concepts of TESLA are based on [28]: 1. The time slots: each packet Pi is authenticated separately, with MAC.…”

Section: Securing Sensors Using Teslamentioning

confidence: 99%

A Secure Model for Machine to Machine Device Domain Based Group in a Smart City Architecture

Ouaissa¹,

Rhattoy²

2019

IJIES

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The new Internet of Things (IoT) applications are enabling Smart City initiatives worldwide. It provides the ability to remotely monitor, manage and control devices. The main features of a smart city include privacy of users and security of communication. The distributed architecture of IoT aims at providing location awareness and low-latency interactions to Machine-to-Machine (M2M) applications. In this context, the Long Term Evolution (LTE) technology and its evolutions are expected to play a major role as a communication infrastructure that guarantees low deployment costs and embedded security, we show how a network deployment that exploits Deviceto-Device (D2D) communications and Wireless Sensor Network (WSN), currently under definition within 3rd Generation Partnership Project (3GPP) and non-3GPP access network, can be employed to support efficient communication between M2M devices (nodes and smart objects) and the core network in LTE system. In this paper, we propose a secure group model include different authentication mechanisms combined between D2D and WSN technologies that allow the protection of M2M devices through strong encryption and authentication means, so that devices can benefit from high security functionalities without however having to execute computationally intensive operations with a low communication complexity. The results obtained show that our model firstly solve the initial key establishment and integrity problems in the presence of the inside adversaries in networks and offers best performance than the standard Bluetooth in D2D link. Secondly our proposed examine the area of authentication for sensor networks by make a combination between algorithms such as TinyPK and Timed Efficient Stream Loss-Tolerant Authentication (TESLA) in order to secure the link between sensors and achieve a high levels of security.

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“…Many standard attacks can be restricted as discussed here. 8.1a Man in the middle attack: There are various techniques for overcoming the man in the middle (MITM) attack in literature [32]. Based on the measured RTT and Wi-fi RSS the MITM is detected and located.…”

Section: Security Of the Proposed Frameworkmentioning

confidence: 99%

LWDSA: light-weight digital signature algorithm for wireless sensor networks

Lavanya

Natarajan

2017

Sādhanā

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The essential security mechanism in wireless sensor networks (WSNs) is authentication, where nodes can authenticate each other before transmitting a valid data to a sink. There are a number of public key authentication procedures available for WSN in recent years. Due to constraints in WSN environment there is a need for lightweight authentication procedure that consumes less power during computation. This proposed work aims at developing a lightweight authentication protocol using MBLAKE2b with elliptic curve digital signature algorithm (ECDSA). The proposed protocol is also tested using the protocol verification tool Scyther and found to be secure in all claims and roles. This proposed algorithm increases the network life time and reduces the computation time, which is essential for the constrained environment like WSNs.

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A survey of broadcast authentication schemes for wireless networks

Cited by 39 publications

References 33 publications

Authentication Protocols for Internet of Things: A Comprehensive Survey

Authentication Protocols for Internet of Things: A Comprehensive Survey

A Secure Model for Machine to Machine Device Domain Based Group in a Smart City Architecture

LWDSA: light-weight digital signature algorithm for wireless sensor networks

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