TY - GEN
T1 - Preference-based trust rules for group formation in VANETs
AU - Al Falasi, Hind Obaid
AU - Mohamed, Nader
PY - 2013
Y1 - 2013
N2 - The complexity of traditional data mining techniques prevents them from being used in VANETs. The introduction of data stream mining has opened a window for extending data mining to be used in VANETs. Data stream mining can be used to construct or extract patterns from messages broadcast frequently from vehicles traveling on a road. Vehicles exchange different types of messages either periodically or ad hoc for different types of applications. The data flowing in the network of vehicles can be used to extract valuable knowledge to support the different applications in VANETs. Knowledge gained from the data can be used to form groups of vehicles. Vehicles can be grouped together based on their direction of traveling, speed, the types of applications they run. Vehicles that have common features, interests, and needs facilitate the establishment of trust between them as these shared features make up the foundation for trust. In this paper we provide a discussion of establishing trusted group using trust rules. In addition, we propose a system to generate/process trust rules and to establish a set of trusted groups.
AB - The complexity of traditional data mining techniques prevents them from being used in VANETs. The introduction of data stream mining has opened a window for extending data mining to be used in VANETs. Data stream mining can be used to construct or extract patterns from messages broadcast frequently from vehicles traveling on a road. Vehicles exchange different types of messages either periodically or ad hoc for different types of applications. The data flowing in the network of vehicles can be used to extract valuable knowledge to support the different applications in VANETs. Knowledge gained from the data can be used to form groups of vehicles. Vehicles can be grouped together based on their direction of traveling, speed, the types of applications they run. Vehicles that have common features, interests, and needs facilitate the establishment of trust between them as these shared features make up the foundation for trust. In this paper we provide a discussion of establishing trusted group using trust rules. In addition, we propose a system to generate/process trust rules and to establish a set of trusted groups.
KW - Data Stream Mining
KW - Group
KW - Recommender Systems
KW - Trust
KW - VANETs
UR - http://www.scopus.com/inward/record.url?scp=84892763873&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84892763873&partnerID=8YFLogxK
U2 - 10.1109/CIMSim.2013.60
DO - 10.1109/CIMSim.2013.60
M3 - Conference contribution
AN - SCOPUS:84892763873
SN - 9780769551555
T3 - Proceedings of International Conference on Computational Intelligence, Modelling and Simulation
SP - 333
EP - 338
BT - Proceedings - 2013 5th International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2013
PB - IEEE Computer Society
T2 - 2013 5th International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2013
Y2 - 24 September 2013 through 26 September 2013
ER -