Kalman Filter for Trust Estimation in VANETs

被引：0

作者：

Bhargava, Arpita ^{[1
]}

Verma, Shekhar ^{[1
]}

Chaurasia, Brijesh Kumar ^{[2
]}

机构：

[1] Indian Inst Informat Technol, Dept IT, Allahabad, Uttar Pradesh, India

[2] ITM Univ Gwalior, Dept CSE, Gwalior, India

来源：

2015 IEEE UP SECTION CONFERENCE ON ELECTRICAL COMPUTER AND ELECTRONICS (UPCON) | 2015年

关键词：

state; variance; kalman filter; kalman gain; automatic trust prediction;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, we propose an automatic trust prediction mechanism based on Kalman filter for trust computation in VANET. The method fuses existing trust with the verified behavior of nodes to obtain an updated trust value iteratively. VANET is an adhoc network characterized by high node mobility and dynamic topology, where the vehicles exchange messages among them to enhance driving conditions. Due to stringent time constraints imposed by the need of small time to react in case of safety conditions, message verification or node authentication is not possible. Trust evolution over a period of time is also precluded due to high node mobility and dynamic topology of VANET. Kalman filter can be used to quickly establish trust value and iteratively update it with the arrival of information. Results and simulations show that the predicted trust values are very close to the actual trust values and Kalman filter can easily capture behavior of both node with constant trust value and time varying trust values within a very small time span.

引用

页数：6

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