A secure AODV routing protocol with node authentication

Yadav, Priyanka; Hussain, Muzzammil

doi:10.1109/iceca.2017.8203733

Cited by 6 publications

(7 citation statements)

References 8 publications

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“…Content may change prior to final publication. Trust-based relaying [147] Cluster-based relaying [148] Secure MACbased relaying [149], [150] Cross-layerbased relaying [151]- [153] Topologybased relaying [154] IP-based relaying [155]- [157] Mobility-based relaying [146], [158], [159] Proactive [157], [158], [160] Reactive [161] One-way [162] Two-way [163], [164] Freshness-based [146], [156], [164]- [170] Encryption-based [146], [154], [156], [163], [164], [166]- [174] Access-based [146], [163], [164], [166]- [174] System Integrity-based [132], [156], [163], [164], [166], [169], [173], [174] This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.…”

Section: Security-aware Protocols For Smart M-iotmentioning

confidence: 99%

“…Thus, these are often the primary preference of setups that focus on the services over smart M-IoT. • Reactive: Authentication protocols which focus on the on-demand verification of the users and support a direct linking between the network users are termed as reactive authentication [161]. Reactive authentication is fast in operations, but is usually, vulnerable to a lot of network attacks which raises a question about their secure usability for smart M-IoT.…”

Section: B Authentication Mode-basedmentioning

confidence: 99%

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Security, Privacy and Trust for Smart Mobile- Internet of Things (M-IoT): A Survey

et al. 2020

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With an enormous range of applications, the Internet of Things (IoT) has magnetized industries and academicians from everywhere. IoT facilitates operations through ubiquitous connectivity by providing Internet access to all the devices with computing capabilities. With the evolution of wireless infrastructure, the focus from simple IoT has been shifted to smart, connected and mobile IoT (M-IoT) devices and platforms, which can enable low-complexity, low-cost and efficient computing through sensors, machines, and even crowdsourcing. All these devices can be grouped under a common term of M-IoT. Even though the positive impact on applications has been tremendous, security, privacy and trust are still the major concerns for such networks and insufficient enforcement of these requirements introduces non-negligible threats to M-IoT devices and platforms. Thus, it is important to understand the range of solutions which are available for providing a secure, privacy-compliant, and trustworthy mechanism for M-IoT. There is no direct survey available, which focuses on security, privacy, trust, secure protocols, physical layer security and handover protections in M-IoT. This paper covers such requisites and presents comparisons of statethe-art solutions for IoT which are applicable to security, privacy, and trust in smart and connected M-IoT networks. Apart from these, various challenges, applications, advantages, technologies, standards, open issues, and roadmap for security, privacy and trust are also discussed in this paper.

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Section: Security-aware Protocols For Smart M-iotmentioning

confidence: 99%

Section: B Authentication Mode-basedmentioning

confidence: 99%

Security, Privacy and Trust for Smart Mobile- Internet of Things (M-IoT): A Survey

et al. 2020

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“…Each node in DSR discovers a path to the destination dynamically. Every packet going through the network knows the path it has to follow to reach the destination, a technique called source routing (Yadav and Hussain, 2017). The information about the route is stored in the header of the packet sent.…”

Section: Figmentioning

confidence: 99%

“…MANETs have unique characteristics that differentiate them from wired networks, namely their highly dynamic topology, wireless links and limited resources (Yadav and Hussain, 2017). One of the most important features making it complicated and expensive to improve the performance of this type of network is the mobility of nodes.…”

Section: Introductionmentioning

confidence: 99%

“…The nodes that create the routes to link a source node to a destination node are free to move in random directions at different speeds, which mean that the network may experience unpredictable and rapid changes in topology. To deal with this, routes need to be found and constantly maintained, but this is not enough to guarantee the flow of data from the source to the destination because the nodes in ad-hoc networks generally have limited transmission range (Yadav and Hussain, 2017). Thus, even if the routing protocols are working efficiently in finding and maintaining routes, the network performance will be reduced if the nodes keep moving away from the transmission range.…”

Section: Introductionmentioning

confidence: 99%

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An Enhanced Dynamic Source Routing Algorithm for the Mobile Ad-Hoc Network using Reinforcement learning under the COVID-19 Conditions

Moqimi¹,

Najafi²,

Ajami³

2020

Journal of Computer Science

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Today, the use of computer networks is evident in all walks of life, including mobile phones, vehicles, personal computers, the workplace and more. Creating and operating networks between each of the abovementioned devices require good infrastructure to be able to communicate between these devices. To solve this problem, there were networks called ad-hoc networks, which were able to network with each other without the need for specific infrastructure and only through direct and wireless communication between the equipment. But how to make the right connections in these types of networks, as well as high-speed communication for devices, are also challenges for researchers. In this study, we try to implement the communication between these devices by the DSR routing algorithm and, using the Q learning technique of the reinforced learning algorithm, we enhance it to respond to QOS in Ad-Hoc mobile networks compared to previous solutions. In addition to what has been improved in this article. In the following articles, we will try to improve the discussion of communication security using this method and also apply this method to routing VANETs networks.

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Security Metrics and Authentication-based RouTing (SMART) Protocol for Vehicular IoT Networks

Kumar,

Singh,

Lobiyal

et al. 2024

SN COMPUT. SCI.

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A secure AODV routing protocol with node authentication

Cited by 6 publications

References 8 publications

Security, Privacy and Trust for Smart Mobile- Internet of Things (M-IoT): A Survey

Security, Privacy and Trust for Smart Mobile- Internet of Things (M-IoT): A Survey

An Enhanced Dynamic Source Routing Algorithm for the Mobile Ad-Hoc Network using Reinforcement learning under the COVID-19 Conditions

Security Metrics and Authentication-based RouTing (SMART) Protocol for Vehicular IoT Networks

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