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A psychographic framework for online user identification

The borderline separating users on the Internet is limited to the classical object-system identifiers such as users-login-ID, and network parameters, which is assumed to belong to a benign user. These assumptions provide subtle platform for malicious action in addition to exploitation of the vulnera...

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Main Authors: Adeyemi, I. R., Abd. Razak, S., Salleh, M.
Format: Conference or Workshop Item
Published: 2015
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/59116/
http://dx.doi.org/10.1109/ISBAST.2014.7013121
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id my.utm.59116
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spelling my.utm.591162021-08-19T03:19:58Z http://eprints.utm.my/id/eprint/59116/ A psychographic framework for online user identification Adeyemi, I. R. Abd. Razak, S. Salleh, M. QA75 Electronic computers. Computer science The borderline separating users on the Internet is limited to the classical object-system identifiers such as users-login-ID, and network parameters, which is assumed to belong to a benign user. These assumptions provide subtle platform for malicious action in addition to exploitation of the vulnerability in online anonymity. The study proposes a human-system identifier framework based on the integration of psychosocial attributes of human into Internet traffic classification process, such that sufficient unique psychographics demography of users can be extracted. Such user psychographic characterization can be complementary method in user identification process. The implication of this paradigm can be adapted for insider investigation process, online transaction authentication process, e-commerce modeling. Further, it finds relevance in network management, especially in a mono-demographical culture. 2015 Conference or Workshop Item PeerReviewed Adeyemi, I. R. and Abd. Razak, S. and Salleh, M. (2015) A psychographic framework for online user identification. In: 2014 4th International Symposium on Biometrics and Security Technologies, ISBAST 2014, 26 - 27 August 2014, Kuala Lumpur, Malaysia. http://dx.doi.org/10.1109/ISBAST.2014.7013121
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Adeyemi, I. R.
Abd. Razak, S.
Salleh, M.
A psychographic framework for online user identification
description The borderline separating users on the Internet is limited to the classical object-system identifiers such as users-login-ID, and network parameters, which is assumed to belong to a benign user. These assumptions provide subtle platform for malicious action in addition to exploitation of the vulnerability in online anonymity. The study proposes a human-system identifier framework based on the integration of psychosocial attributes of human into Internet traffic classification process, such that sufficient unique psychographics demography of users can be extracted. Such user psychographic characterization can be complementary method in user identification process. The implication of this paradigm can be adapted for insider investigation process, online transaction authentication process, e-commerce modeling. Further, it finds relevance in network management, especially in a mono-demographical culture.
format Conference or Workshop Item
author Adeyemi, I. R.
Abd. Razak, S.
Salleh, M.
author_facet Adeyemi, I. R.
Abd. Razak, S.
Salleh, M.
author_sort Adeyemi, I. R.
title A psychographic framework for online user identification
title_short A psychographic framework for online user identification
title_full A psychographic framework for online user identification
title_fullStr A psychographic framework for online user identification
title_full_unstemmed A psychographic framework for online user identification
title_sort psychographic framework for online user identification
publishDate 2015
url http://eprints.utm.my/id/eprint/59116/
http://dx.doi.org/10.1109/ISBAST.2014.7013121
_version_ 1709667348820000768
score 13.211869

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