TY - GEN
T1 - An ABAC Model with Trust and Gossiping (ABAC–TG) for Online Social Networks
AU - Swissa, Adi
AU - Gudes, Ehud
N1 - Publisher Copyright:
© 2021, IFIP International Federation for Information Processing.
PY - 2021/1/1
Y1 - 2021/1/1
N2 - In this paper, we propose an attribute-based access control model called ABAC–TG for online social networks (OSNs). This model comprehensively considers user and object attributes and two main social attributes: trust and gossip, which are calculated based on the Ego-node (the user sharing the information) point of view. Each user is evaluated trust and gossip wise by several criteria, such as total number of friends, number of interactions between two users, and more. A new algorithm for calculating user gossiping value by graph clustering is defined, and this gossiping value can also be used for trust calculation. The ABAC model is formally presented, including rules and attribute definitions, and is demonstrated by several use case scenarios. The gossip and trust assessments provide more accurate and viable information-sharing decisions that serve the purpose of more precise and flexible authorizations. This work is novel in two respects. First, we are using trust and gossip as dynamic attribute calculations. And second, we present a new algorithm for calculating the user’s gossip value from the ego user point of view and use it either as part of the trust attribute calculation or as a separate attribute in the ABAC model.
AB - In this paper, we propose an attribute-based access control model called ABAC–TG for online social networks (OSNs). This model comprehensively considers user and object attributes and two main social attributes: trust and gossip, which are calculated based on the Ego-node (the user sharing the information) point of view. Each user is evaluated trust and gossip wise by several criteria, such as total number of friends, number of interactions between two users, and more. A new algorithm for calculating user gossiping value by graph clustering is defined, and this gossiping value can also be used for trust calculation. The ABAC model is formally presented, including rules and attribute definitions, and is demonstrated by several use case scenarios. The gossip and trust assessments provide more accurate and viable information-sharing decisions that serve the purpose of more precise and flexible authorizations. This work is novel in two respects. First, we are using trust and gossip as dynamic attribute calculations. And second, we present a new algorithm for calculating the user’s gossip value from the ego user point of view and use it either as part of the trust attribute calculation or as a separate attribute in the ABAC model.
KW - Attribute based access control (ABAC)
KW - Gossip
KW - Online social networks
KW - Trust
UR - https://www.scopus.com/pages/publications/85112715150
U2 - 10.1007/978-3-030-81242-3_22
DO - 10.1007/978-3-030-81242-3_22
M3 - Conference contribution
AN - SCOPUS:85112715150
SN - 9783030812416
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 377
EP - 392
BT - Data and Applications Security and Privacy XXXV - 35th Annual IFIP WG 11.3 Conference, DBSec 2021, Proceedings
A2 - Barker, Ken
A2 - Ghazinour, Kambiz
PB - Springer Science and Business Media Deutschland GmbH
T2 - 35th Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy, DBSec 2021
Y2 - 19 July 2021 through 20 July 2021
ER -