TY - GEN
T1 - Possibilistic reasoning for trust-based access control enforcement in social networks
AU - Nin, J.
AU - Torra, Vicenç
PY - 2010
Y1 - 2010
N2 - Web 2.0 services allow large amount of users to interact and share resources with each others in a very easy and timely way. However, as such services are very recent, there is still a need for developing new tools that considers their own characteristics and particularities. This is the case of the resource access control methods. In this paper we present the Max-Min method, a new trustbased algorithm for computing user reputation in social/peerto- peer networks in an easy, fast and comprehensible manner. For these reasons, it can be used for resource access control enforcement. The novelty of Max-Min is that it is specifically designed for Web 2.0 applications. Therefore, it considers all the particularities of such scenarios. Additionally, we nclude in this work a set of experiments showing the viability of Max-Min model using a real trust dataset downloaded from Epinions, a Web 2.0 website.
AB - Web 2.0 services allow large amount of users to interact and share resources with each others in a very easy and timely way. However, as such services are very recent, there is still a need for developing new tools that considers their own characteristics and particularities. This is the case of the resource access control methods. In this paper we present the Max-Min method, a new trustbased algorithm for computing user reputation in social/peerto- peer networks in an easy, fast and comprehensible manner. For these reasons, it can be used for resource access control enforcement. The novelty of Max-Min is that it is specifically designed for Web 2.0 applications. Therefore, it considers all the particularities of such scenarios. Additionally, we nclude in this work a set of experiments showing the viability of Max-Min model using a real trust dataset downloaded from Epinions, a Web 2.0 website.
UR - http://www.scopus.com/inward/record.url?scp=78549243768&partnerID=8YFLogxK
U2 - 10.1109/FUZZY.2010.5584646
DO - 10.1109/FUZZY.2010.5584646
M3 - Conference contribution
AN - SCOPUS:78549243768
SN - 9781424469208
T3 - 2010 IEEE World Congress on Computational Intelligence, WCCI 2010
BT - 2010 IEEE World Congress on Computational Intelligence, WCCI 2010
T2 - 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010
Y2 - 18 July 2010 through 23 July 2010
ER -