Interaction-based Reputation Model in Online Social Networks
Izzat Alsmadi, Dianxiang Xu, Jin-Hee Cho
2016
Abstract
Due to the proliferation of using various online social media, individual users put their privacy at risk by posting and exchanging enormous amounts of messages or activities with other users. This causes a serious concern about leaking private information out to malevolent entities without users’ consent. This work proposes a reputation model in order to achieve efficient and effective privacy preservation in which a user’s reputation score can be used to set the level of privacy and accordingly to determine the level of visibility for all messages or activities posted by the users. We derive a user’s reputation based on both individual and relational characteristics in online social network environments. We demonstrate how the proposed reputation model can be used for automatic privacy assessment and accordingly visibility setting for messages / activities created by a user.
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Paper Citation
in Harvard Style
Alsmadi I., Xu D. and Cho J. (2016). Interaction-based Reputation Model in Online Social Networks . In Proceedings of the 2nd International Conference on Information Systems Security and Privacy - Volume 1: ICISSP, ISBN 978-989-758-167-0, pages 265-272. DOI: 10.5220/0005668302650272
in Bibtex Style
@conference{icissp16,
author={Izzat Alsmadi and Dianxiang Xu and Jin-Hee Cho},
title={Interaction-based Reputation Model in Online Social Networks},
booktitle={Proceedings of the 2nd International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,},
year={2016},
pages={265-272},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005668302650272},
isbn={978-989-758-167-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 2nd International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,
TI - Interaction-based Reputation Model in Online Social Networks
SN - 978-989-758-167-0
AU - Alsmadi I.
AU - Xu D.
AU - Cho J.
PY - 2016
SP - 265
EP - 272
DO - 10.5220/0005668302650272