  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.
