@inproceedings{65887955ceef47f88bca9abf75e5a23a,
title = "IMPROVE-Identifying minimal profile vectors for similarity based access control",
abstract = "There is ample evidence which shows that social media users struggle to make appropriate access control decisions while disclosing their information and smarter mechanisms are needed to assist them. Using profile information to ascertain similarity between users and provide suggestions to them during the process of making access control decisions has been put forth as possible solution to this problem. This paper presents an empirical study aimed at identifying the minimal subset of attributes which are most suitable for being used to create profile vectors for the purpose of predicting access control decisions. We begin with an exhaustive list of 30 profile attributes and identify a subset of 2 profile attributes which are shown to be sufficient in obtaining similarity between profiles and predicting access control decisions with the same accuracy as previous models. We demonstrate that using this pair of attributes will help mitigate the challenges encountered by similarity based access control mechanisms.",
keywords = "Machine learning, Privacy, Social computing",
author = "Gaurav Misra and Such, {Jose M.} and Hamed Balogun",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; Joint 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016 ; Conference date: 23-08-2016 Through 26-08-2016",
year = "2017",
month = feb,
day = "9",
doi = "10.1109/TrustCom.2016.0150",
language = "English",
series = "Proceedings - 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "868--875",
booktitle = "Proceedings - 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016",
address = "United States",
}