WSN node access authentication protocol based on trusted computing

Liu, Jing; Liu, Lihui; Liu, Zenghui; Lai, Yingxu; Hua, Qin; Luo, Shiyao

doi:10.1016/j.simpat.2022.102522

Cited by 15 publications

(9 citation statements)

References 11 publications

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“…It uses a trust formula based on the stochastic process since the restoration of trust levels under assault is quicker in the Gaussian and other distributions. Liu et al [12] WSN based medical and environmental based vulnerabilities are taken into consideration. This method provides good results in terms of efficiency and security.…”

Section: Comprehensive Survey 21 Trust Oriented Wireless Sensor Networkmentioning

confidence: 99%

Multi level trust calculation with improved ant colony optimization for improving quality of service in wireless sensor network

Ahmed

Abbas

Rashid

2023

IJ-AI

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Wireless sensor network (WSN) is the most integral parts of current technology which are used for the real time applications. The major drawbacks in currect technologies are threads due to the creation of false trust values and data congestion. Maximum of the concept of WSNs primarily needs security and optimization. So, we are in the desire to develop a new model which is highly secured and localized. In this paper, we introduced a novel approach namely multi level trust calculation with improved ant colony optimization (MLT-IACO). This approach mainly sub-divided into two sections they are multi level trust calculation which is the combination three levels of trust such as direct trust, indirect trust and random repeat trust. Secondly, improved ant colony optimization technique is used to find the optimal path in the network. By transmitting the data in the optimal path, the congestion and delay of the network is reduced which leads to increase the efficiency. The outcome values are comparatively analyzed based the parameters such as packet delivery ratio, network throughput and average latency. While compared with the earlier research our MLT-IACO approach produce high packet delivery ratio and throughput as well as lower latency and routing overhead.

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Section: Comprehensive Survey 21 Trust Oriented Wireless Sensor Networkmentioning

confidence: 99%

Multi level trust calculation with improved ant colony optimization for improving quality of service in wireless sensor network

Ahmed

Abbas

Rashid

2023

IJ-AI

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“…The attacker hijacks a sensor node or IoT device to take over the network, remove the node from the network, and redeploys it as a malicious node. [64,75,76] key compromise impersonation (KCI) attack The attacker installs the client's certificate on the device and can then impersonate it. [77] An essential aspect of security that must be considered in IoT systems is the implementation of the CIA triad (confidentiality, integrity, availability).…”

Section: Denial Of Service (Dos) Attackmentioning

confidence: 99%

Key Agreement and Authentication Protocols in the Internet of Things: A Survey

Szymoniak

Kesar

2022

Applied Sciences

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The rapid development of Internet of things (IoT) technology has made the IoT applicable in many areas of life and has contributed to the IoT’s improvement. IoT devices are equipped with various sensors that enable them to perform the tasks they were designed for. The use of such devices is associated with securing communication between devices and users. The key stages of communication are the processes of authentication and the process of agreeing on session keys because they are the basis of the subsequent communication phases. The specially designed security protocols are used to secure communication. These protocols define the course of communication and cryptographic techniques employed for securing. In this article, we have reviewed the latest communication protocols designed to secure authentication processes and agree on session keys in IoT environments. We analyzed the proposed protocols’ security level, vulnerability, and computational and communication costs. We showed our observations, describing the requirements that a secure protocol should meet.

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“…In our protocol, the access request {M 1 , M 2 , T 1 , T S i } does not contain any information about the password, so the adversary cannot guess the user's password through this way. Assuming that the adversary gets a smart card of a legitimate user U i and guesses that U i 's identity is ID * ∈ {0, 1} n and password is P W * ∈ {0, 1} n , the probability of ID * = ID i and P W * = P W i is 1 2 2n , which is negligible. Therefore, the protocol can prevent off-line password guessing attack.…”

Section: Resisting Off-line Password Guessing Attackmentioning

confidence: 99%

“…Wireless sensor networks are composed of a large number of resource-constrained and self-organized sensor nodes, mostly used in environmental monitoring, smart healthcare, precision agriculture, and other fields [1,2]. The pivotal wireless communication and data fusion technologies have become increasingly mature in WSNs.…”

Section: Introductionmentioning

confidence: 99%

An anonymous authentication and key agreement protocol in smart living

Cui

et al. 2022

Computer Communications

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WSN node access authentication protocol based on trusted computing

Cited by 15 publications

References 11 publications

Multi level trust calculation with improved ant colony optimization for improving quality of service in wireless sensor network

Multi level trust calculation with improved ant colony optimization for improving quality of service in wireless sensor network

Key Agreement and Authentication Protocols in the Internet of Things: A Survey

An anonymous authentication and key agreement protocol in smart living

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