TY - GEN
T1 - Optimal state management of data sharing in Online Social Network (OSN) services
AU - Park, Joon S.
AU - Kim, Sookyung
AU - Kamhoua, Charles A.
AU - Kwiat, Kevin A.
PY - 2012
Y1 - 2012
N2 - Although Online Social Network (OSN) services offer users a variety of benefits, they also bring new threats and privacy issues to the community. In this paper, we first define the data types in OSN services and the states of shared data with respect to Optimal, Under-shared, Over-shared, and Hybrid states. We also identify the facilitating, detracting, and preventive parameters that are responsible for the state transition of the data. We address that, in a reliable OSN service, a user should be able to set up his or her desired level of information sharing with a certain group of other users. However, it is not always clear to the ordinary users how to decide how much information they should reveal to others. Therefore, we propose an approach for helping OSN users determine their optimum levels of information sharing, taking into consideration the payoffs (potential Reward or Cost) based on the Markov decision process (MDP).
AB - Although Online Social Network (OSN) services offer users a variety of benefits, they also bring new threats and privacy issues to the community. In this paper, we first define the data types in OSN services and the states of shared data with respect to Optimal, Under-shared, Over-shared, and Hybrid states. We also identify the facilitating, detracting, and preventive parameters that are responsible for the state transition of the data. We address that, in a reliable OSN service, a user should be able to set up his or her desired level of information sharing with a certain group of other users. However, it is not always clear to the ordinary users how to decide how much information they should reveal to others. Therefore, we propose an approach for helping OSN users determine their optimum levels of information sharing, taking into consideration the payoffs (potential Reward or Cost) based on the Markov decision process (MDP).
KW - OSNs
KW - online social networks
KW - privacy protection
KW - security
UR - http://www.scopus.com/inward/record.url?scp=84868152135&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84868152135&partnerID=8YFLogxK
U2 - 10.1109/TrustCom.2012.216
DO - 10.1109/TrustCom.2012.216
M3 - Conference contribution
AN - SCOPUS:84868152135
SN - 9780769547459
T3 - Proc. of the 11th IEEE Int. Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012 - 11th IEEE Int. Conference on Ubiquitous Computing and Communications, IUCC-2012
SP - 648
EP - 655
BT - Proc. of the 11th IEEE Int. Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012 - 11th IEEE Int. Conference on Ubiquitous Computing and Communications, IUCC-2012
T2 - 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012
Y2 - 25 June 2012 through 27 June 2012
ER -