BTRES: Beta-based Trust and Reputation Evaluation System for wireless sensor networks

Fang, Weidong; Zhang, Chuanlei; Shi, Zhidong; Zhao, Qiuyan; Shan, Lianhai

doi:10.1016/j.jnca.2015.06.013

Cited by 118 publications

(76 citation statements)

References 26 publications

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“…One hundred sensor nodes are randomly distributed in the region, and the base station is located in the center of the monitoring area. The perception a) b) The performance of the proposed method is compared with that of MD-WTE [34] and BTRES [35]. Figures 1 and 2 show the trust value of the normal node and malicious node with time as malicious node proportion is 15% and 30%, respectively.…”

Section: Resultsmentioning

confidence: 99%

Trust evaluation model with entropy-based weight assignment for malicious node’s detection in wireless sensor networks

Yin

2019

J Wireless Com Network

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Trust management is considered as an effective complementary mechanism to ensure the security of sensor networks. Based on historical behavior, the trust value can be evaluated and applied to estimate the reliability of the node. For the analysis of the possible attack behavior of malicious nodes, we proposed a trust evaluation model with entropy-based weight assignment for malicious node's detection in wireless sensor networks. To mitigate the malicious attacks such as packet dropping or packet modifications, multidimensional trust indicators are derived from communication between adjacent sensor nodes, and direct and indirect trust values will be estimated based on the corresponding behaviors of those sensor nodes. In order to improve the validity of trust quantification and ensure the objectivity of evaluation, the entropy weight method is applied to determine the proper value of the weight. Finally, the indirect trust value and direct trust value are synthesized to obtain the overall trust. Experimental results show that the proposed scheme performs well in terms of the identification of malicious node.

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Section: Resultsmentioning

confidence: 99%

Trust evaluation model with entropy-based weight assignment for malicious node’s detection in wireless sensor networks

Yin

2019

J Wireless Com Network

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“…Technical innovations require novelty from companies, restructuring their business processes and using modern technologies (Ardito et al, 2019). Many authors write about the active use of new information technologies in reputation management, as well as convincing research results (Zhao et al, 2019;Fang et al, 2016;He & Xiong, 2017). However, research on reputational management does not emphasize that reputational crisis causes increased innovative activity in the use of new channels and tools for communication with audiences.…”

Section: Literature Reviewmentioning

confidence: 99%

Reputation stability vs anti-crisis sustainability: under what circumstances will innovations, media activities and CSR be in higher demand?

Derevianko

2019

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Research background: The difference of war and peace can help gain an under-standing of the differences in the management of a company's reputation in terms of its stability as compared to the state of a reputation crisis. The question of practical confirmation, which is left open, is whether there is a positive correlation between the anti-crisis activity of the reputation management system and its stability in a long-term perspective, or whether these two factors are inversely related. Purpose of the article: This research is essentially aimed at studying the impact of innovation activity, media activity, and corporate social responsibility on reputational stability as well as on anti-crisis reputational sustainability. Methods: Indicators of innovation activity, media activity, corporate social responsibility, reputational stability, and anti-crisis reputational sustainability were collected in a sample of the most frequently mentioned in the media leading companies of the Ukrainian economy (N = 315), using an online survey done among 110 industry experts within the framework of the Reputation ACTIVists All-Ukrainian Ranking of Corporate Reputation Management Quality over February-March'2019 period. Structural equation modeling (SEM) in using the maximum likelihood estimation method was applied to examine the associations between above-mentioned indicators, according to the aim of the study. Findings & Value added: The results of our study revealed: 1) the existence of a significant correlation between CSR and reputational stability; 2) innovative and media activity are the most significant variables to provide anti-crisis sustainability; 3) CSR is less important for ensuring anti-crisis sustainability than for maintaining reputational stability; 4) anti-crisis sustainability is significantly more dependent on media activity than reputational stability is. By better understanding the roles of innovation activity, media activity, and corporate social responsibility, the company’s management in Ukraine can leverage the results of the study to improve reputation management performance, differentiating approaches in circumstances of a crisis and stability.

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“…In this section, we briefly describe our research work from three aspects: The application of game theory, the application of trust, and the application of joint game theory and trust; and give some examples in the literature. Through the investigation of literature, we have concluded that most researchers use the following types of games: Dynamic game [32][33][34][35][36][37][38][39][40][41][42][43][44][45], static game [46], non-cooperative game [47][48][49][50][51], cooperative game [52][53][54][55][56][57][58][59], security game [60][61][62][63][64], and trust game [65][66][67][68][69].…”

Section: Relate Summarized Workmentioning

confidence: 99%

Towards Security Joint Trust and Game Theory for Maximizing Utility: Challenges and Countermeasures

Huang

Jia

Fang

et al. 2019

Sensors

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The widespread application of networks is providing a better platform for the development of society and technology. With the expansion of the scope of network applications, many issues need to be solved. Among them, the maximization of utility and the improvement of security have attracted much attention. Many existing attacks mean the network faces security challenges. The concept of trust should be considered to address these security issues. Meanwhile, the utility of the network, including efficiency, profit, welfare, etc., are concerns that should be maximized. Over the past decade, the concepts of game and trust have been introduced to various types of networks. However, there is a lack of research effort on several key points in distributed networks, which are critical to the information transmission of distributed networks, such as expelling malicious nodes quickly and accurately and finding equilibrium between energy assumption and high transmission rate. The purpose of this paper is to give a holistic overview of existing research on trust and game theory in networks. We analyzed that network utility can be maximized in terms of effectiveness, profits, and security. Moreover, a possible research agenda is proposed to promote the application and development of game theory and trust for improving security and maximizing utility.

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BTRES: Beta-based Trust and Reputation Evaluation System for wireless sensor networks

Cited by 118 publications

References 26 publications

Trust evaluation model with entropy-based weight assignment for malicious node’s detection in wireless sensor networks

Trust evaluation model with entropy-based weight assignment for malicious node’s detection in wireless sensor networks

Reputation stability vs anti-crisis sustainability: under what circumstances will innovations, media activities and CSR be in higher demand?

Towards Security Joint Trust and Game Theory for Maximizing Utility: Challenges and Countermeasures

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