TY - GEN
T1 - User access rights recommendation using modified fuzzy C-Means in role mining of an Indonesian core banking system
AU - Kusumonegoro, Yudhistiro Trah
AU - Samopa, Febriliyan
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - Banking operational services are supported by a banking information system called Core Banking System (CBS). Due to frequent request from branches without accompanied by standard references, risk of improperly granting of access right occurs. Users have their accounts already codified into specific pattern according to one's role. However, it is still difficult in grouping user accounts into their proper roles as current access rights are greatly vary and situation exists where a particular user has multiple roles. Steps to solve those problems in this research are preparing data in order to process user access rights recorded in CBS, clustering analysis to obtain optimum grouping of access rights, and evaluation of clustering results. Our experimental results show better cluster produced, measured by correctly labelled roles. However the results also produces inconsistent sets of user menus associated with mined roles, due to significance of some features that represents branch office class and user position.
AB - Banking operational services are supported by a banking information system called Core Banking System (CBS). Due to frequent request from branches without accompanied by standard references, risk of improperly granting of access right occurs. Users have their accounts already codified into specific pattern according to one's role. However, it is still difficult in grouping user accounts into their proper roles as current access rights are greatly vary and situation exists where a particular user has multiple roles. Steps to solve those problems in this research are preparing data in order to process user access rights recorded in CBS, clustering analysis to obtain optimum grouping of access rights, and evaluation of clustering results. Our experimental results show better cluster produced, measured by correctly labelled roles. However the results also produces inconsistent sets of user menus associated with mined roles, due to significance of some features that represents branch office class and user position.
KW - Modified clustering
KW - Role mining
KW - Role-based access control
UR - http://www.scopus.com/inward/record.url?scp=85073552507&partnerID=8YFLogxK
U2 - 10.1109/ICTS.2019.8850977
DO - 10.1109/ICTS.2019.8850977
M3 - Conference contribution
AN - SCOPUS:85073552507
T3 - Proceedings of 2019 International Conference on Information and Communication Technology and Systems, ICTS 2019
SP - 241
EP - 245
BT - Proceedings of 2019 International Conference on Information and Communication Technology and Systems, ICTS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th International Conference on Information and Communication Technology and Systems, ICTS 2019
Y2 - 18 July 2019
ER -