Securing Software-Defined WSNs Communication via Trust Management

Bin-Yahya, Manaf; Alhussein, Omar

doi:10.1109/jiot.2021.3102578

Cited by 12 publications

(4 citation statements)

References 33 publications

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“…Malicious nodes can lower the network's availability because of in-band communications and the fact that SDWSNs inherently lack secure channels. To aid in the identification of hazards within SDWSNs, the encouragement of node collaboration, and the facilitation of forwarding choices, Bin-Yahya et al [7] suggested a hierarchical trust management strategy for SDWSNs. Over the numerous levels of the SDWSN architecture, TSW establishes the dependability of the participating nodes and makes it possible to detect malicious behaviors.…”

Section: Literature Surveymentioning

confidence: 99%

“…With Software Defined Networking (SDN), which provides a bird's-eye view of the network, centralized control, and adjustable forwarding rules, this kind of dynamic and flexible network administration is made feasible. 6G networks are notoriously complicated, therefore researchers are looking to AI, SDN, and quantum computing to solve some of the most intractable problems, such optimising routing in these networks [7].…”

Section: Introductionmentioning

confidence: 99%

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Network Master Node Assessed Trust Factor with Arbitrary Neighbor Assessment for Secure Route Detection in 6G Enabled Wireless Sensor Networks

Movva,

Chintala

2024

IJSSE

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The wireless research community has been concentrating on sixth-generation (6G) wireless technology. One of the new paradigms brought forward by 6G is its extensive global coverage, enormous spectrum consumption, sophisticated new applications, and tight security. Nevertheless, current classical computers may lack the computational capability necessary to fully realize such features. Already, major IT firms are investigating quantum computers, which might be used as 6G enablers. A growing number of people are opting for 6G enabled wireless sensor networks (WSNs) due to its potential low cost and broad use. Malicious or self-serving nodes, in addition to broken nodes, can significantly reduce a network's performance. Most trust management schemes come with a powerful tool that can detect unusual node behavior. This research goal is to secure WSNs against malicious attacks that take advantage of the replay of routing information, hence a strong trust based routing model has been devised and built to provide safe routing options for WSNs. This research proposes a Network Master Node assessed Trust Factor with Arbitrary Neighbor Assessment (NMN-TF-ANA) for Secure Route Detection in WSN. The proposed model considers nodes in routing based on trust factor and random neighbor evaluation to achieve secure data transmission. The proposed model when contrasted with existing model achieves better performance in route selection.

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Section: Literature Surveymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Network Master Node Assessed Trust Factor with Arbitrary Neighbor Assessment for Secure Route Detection in 6G Enabled Wireless Sensor Networks

Movva,

Chintala

2024

IJSSE

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“…Trust management has been extensively explored and utilized in Internet of Things (IoT) systems. 31 Among these, work on trust management in the IOVs is a hot topic with the potential to significantly speed up the development of ICVs by improving their security protection level. 32 The major issues of trust management in IoVs are efficient, low-latency, and heterogeneous trust evaluation and aggregations to the high dynamic nodes in IoVs.…”

Section: Related Workmentioning

confidence: 99%

“…Trust management has been extensively explored and utilized in Internet of Things (IoT) systems 31 . Among these, work on trust management in the IOVs is a hot topic with the potential to significantly speed up the development of ICVs by improving their security protection level 32 .…”

Section: Related Workmentioning

confidence: 99%

Blockchain‐enhanced trust management for mobile edge computing‐enabled intelligent vehicular collaboration in the 6G era

Wang

Zhu

Xiao

et al. 2023

Trans Emerging Tel Tech

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The rapid development and increasing popularity of mobile devices have facilitated the development of computation‐intensive applications and services, but their constrained compute, storage and battery capabilities have also created the requirements for optimized resource provision and service orchestration. Emerging mobile edge computing (MEC) and next‐generation networks (6G) can meet these requirements of mobile devices by migrating complex computing tasks and large volumes of data to edge servers with acceptable latency, thus effectively enhancing the quality of experience (QoE) of mobile users. Intelligent Vehicular Collaboration, as an intelligent mobile application or service in intelligent connected vehicle (ICV) applications, enables precise and effective driving decisions based on a large amount of real‐time traffic information statistics and intelligent analysis of vehicle status to improve the user driving experience and the efficiency of intelligent transportation systems(ITS). However, the openness and dynamics of wireless communications and the high frequency of information interaction of MEC‐enabled intelligent vehicular collaboration services in the 6G era make them highly vulnerable to cyber attacks. How to achieve dynamically trustworthy, secure, and intelligent vehicular collaboration services in the presence of malicious node access and cyber attacks in the 6G MEC‐enabled vehicular network is a significant challenge. In this paper, we propose a novel blockchain‐enabled trust management mechanism to address this challenge. First, we design a spatiotemporal‐correlated message credibility assessment method and a dynamic mutual trust evaluation method to obtain accurate ratings for messages and mobile nodes respectively. Based on the above methods, we propose an improved blockchain‐based intelligent trust management mechanism that enables transparent, tamper‐evident, and trustworthy secure intelligent vehicular collaboration services while maintaining stable and efficient system performance. Simulation results show that our suggested solutions can efficiently evaluate the trust level of ICVs and achieve efficient and secure intelligent vehicular collaboration with acceptable communication and computation overheads.

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