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Vehicular ad-hoc networks (VANETs) have gained a lot of attention from both academic and industry due to its immense potential in revolutionizing the vehicular communication industry. VANET is a derived subclass of mobile ad-hoc networks (MANETs) with vehicles as the mobile nodes. VANETs facilitate vehicles to share safety and non-safety information through messages. Safety information includes road accidents, natural hazards, road blocks, etc. Non-safety information includes tolling information, traveler information etc. The main goal behind sharing this information is to reduce road accidents by alerting the driver about the unexpected hazards. The major issue in VANET is to validate the message travelling from one vehicle to another and to assure the integrity of the message. These issues are addressed in our proposed algorithm (MAvanet). In this algorithm social networks are used to create an active topology from all possible users in sender’s profile, who are active at a particular point of time. Message authentication achieved by providing profile of user and Quick Response Code (QR code) technique. The experimentation results show that our system outperforms in comparison with P2P systems.