TY - GEN
T1 - A role and trust access control model for preserving privacy and image anonymization in social networks
AU - Voloch, Nadav
AU - Nissim, Priel
AU - Elmakies, Mor
AU - Gudes, Ehud
N1 - Publisher Copyright:
© IFIP International Federation for Information Processing 2019.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Over the last decade Online Social Networks (OSN) privacy has been thoroughly studied in many aspects. Some of these privacy related aspects are trust and credibility involving the OSN user-data conveyed by different relationships in the network. One of OSN major problems is that users expose their information in a manner thought to be relatively private, or even partially public, to unknown and possibly unwanted entities, such as adversaries, social bots, fake users, spammers or data-harvesters. Preventing this information leakage is the target of many OSN privacy models, such as Access Control, Relationship based models, Trust based models and many others. In this paper we suggest a new Role and Trust based Access Control model, denoted here as RTBAC, in which roles, that manifest different permissions, are assigned to the users connected to the Ego-node (the user sharing the information), and in addition, every user is evaluated trust wise by several criteria, such as total number of friends, age of user account, and friendship duration. An interesting extension of the model of image anonymization is also given, where a user that has a certain role with a proper permission can access a partial instance of the data, if a sufficient trust level is not achieved. These role and trust assessments provide more precise and viable information sharing decisions and enable better privacy control in the social network.
AB - Over the last decade Online Social Networks (OSN) privacy has been thoroughly studied in many aspects. Some of these privacy related aspects are trust and credibility involving the OSN user-data conveyed by different relationships in the network. One of OSN major problems is that users expose their information in a manner thought to be relatively private, or even partially public, to unknown and possibly unwanted entities, such as adversaries, social bots, fake users, spammers or data-harvesters. Preventing this information leakage is the target of many OSN privacy models, such as Access Control, Relationship based models, Trust based models and many others. In this paper we suggest a new Role and Trust based Access Control model, denoted here as RTBAC, in which roles, that manifest different permissions, are assigned to the users connected to the Ego-node (the user sharing the information), and in addition, every user is evaluated trust wise by several criteria, such as total number of friends, age of user account, and friendship duration. An interesting extension of the model of image anonymization is also given, where a user that has a certain role with a proper permission can access a partial instance of the data, if a sufficient trust level is not achieved. These role and trust assessments provide more precise and viable information sharing decisions and enable better privacy control in the social network.
KW - Access control
KW - Social networks privacy
KW - Trust-based privacy models
UR - http://www.scopus.com/inward/record.url?scp=85076129003&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-33716-2_2
DO - 10.1007/978-3-030-33716-2_2
M3 - Conference contribution
AN - SCOPUS:85076129003
SN - 9783030337155
T3 - IFIP Advances in Information and Communication Technology
SP - 19
EP - 27
BT - Trust Management XIII - 13th IFIP WG 11.11 International Conference, IFIPTM 2019, Proceedings
A2 - Meng, Weizhi
A2 - Jensen, Christian Damsgaard
A2 - Cofta, Piotr
A2 - Grandison, Tyrone
PB - Springer
T2 - 13th IFIP WG 11.11 International Conference on Trust Management, IFIPTM 2019
Y2 - 17 July 2019 through 19 July 2019
ER -