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- W3105612166 abstract "Nowadays, Vehicle Ad - hoc Nets (VANET) applications have become very important in our lives because VANET provides drivers with safety messages, warnings, and instructions to ensure drivers have a safe and enjoyable journey. VANET Security is one of the hottest topics in computer networks research, Falsifying VANET system information violates VANET safety objectives and may lead to hazardous situations and loss of life. In this paper, an Intelligent Reputation System (IRS) aims to identify attacking vehicles will be proposed; the proposed system will rely on opinion generation, trust value collection, traffic analysis, position based, data collection, and intelligent decision making by utilizing the multi-parameter Greedy Best First algorithm. The results of this research will enhance VANET's safety level and will facilitate the identification of misbehaving vehicles and their messages. The results of the proposed system have also proven to be superior to other reputational systems." @default.
- W3105612166 created "2020-11-23" @default.
- W3105612166 creator A5020925471 @default.
- W3105612166 date "2020-09-01" @default.
- W3105612166 modified "2023-10-14" @default.
- W3105612166 title "Intelligent reputation system for safety messages in VANET" @default.
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- W3105612166 doi "https://doi.org/10.11591/ijai.v9.i3.pp439-447" @default.
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