Observing Consistency in Online Communication Patterns for User Re-Identification.
Comprehension of the statistical and structural mechanisms governing human dynamics in online interaction plays a pivotal role in online user identification, online profile development, and recommender systems. However, building a characteristic model of human dynamics on the Internet involves a com...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2016-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC5137900?pdf=render |
| _version_ | 1818899102573789184 |
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| author | Ikuesan Richard Adeyemi Shukor Abd Razak Mazleena Salleh Hein S Venter |
| author_facet | Ikuesan Richard Adeyemi Shukor Abd Razak Mazleena Salleh Hein S Venter |
| author_sort | Ikuesan Richard Adeyemi |
| collection | DOAJ |
| description | Comprehension of the statistical and structural mechanisms governing human dynamics in online interaction plays a pivotal role in online user identification, online profile development, and recommender systems. However, building a characteristic model of human dynamics on the Internet involves a complete analysis of the variations in human activity patterns, which is a complex process. This complexity is inherent in human dynamics and has not been extensively studied to reveal the structural composition of human behavior. A typical method of anatomizing such a complex system is viewing all independent interconnectivity that constitutes the complexity. An examination of the various dimensions of human communication pattern in online interactions is presented in this paper. The study employed reliable server-side web data from 31 known users to explore characteristics of human-driven communications. Various machine-learning techniques were explored. The results revealed that each individual exhibited a relatively consistent, unique behavioral signature and that the logistic regression model and model tree can be used to accurately distinguish online users. These results are applicable to one-to-one online user identification processes, insider misuse investigation processes, and online profiling in various areas. |
| first_indexed | 2024-12-19T19:42:38Z |
| format | Article |
| id | doaj.art-fd459e90675f4a9c80af75e49076e340 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-19T19:42:38Z |
| publishDate | 2016-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-fd459e90675f4a9c80af75e49076e3402022-12-21T20:08:13ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-011112e016693010.1371/journal.pone.0166930Observing Consistency in Online Communication Patterns for User Re-Identification.Ikuesan Richard AdeyemiShukor Abd RazakMazleena SallehHein S VenterComprehension of the statistical and structural mechanisms governing human dynamics in online interaction plays a pivotal role in online user identification, online profile development, and recommender systems. However, building a characteristic model of human dynamics on the Internet involves a complete analysis of the variations in human activity patterns, which is a complex process. This complexity is inherent in human dynamics and has not been extensively studied to reveal the structural composition of human behavior. A typical method of anatomizing such a complex system is viewing all independent interconnectivity that constitutes the complexity. An examination of the various dimensions of human communication pattern in online interactions is presented in this paper. The study employed reliable server-side web data from 31 known users to explore characteristics of human-driven communications. Various machine-learning techniques were explored. The results revealed that each individual exhibited a relatively consistent, unique behavioral signature and that the logistic regression model and model tree can be used to accurately distinguish online users. These results are applicable to one-to-one online user identification processes, insider misuse investigation processes, and online profiling in various areas.http://europepmc.org/articles/PMC5137900?pdf=render |
| spellingShingle | Ikuesan Richard Adeyemi Shukor Abd Razak Mazleena Salleh Hein S Venter Observing Consistency in Online Communication Patterns for User Re-Identification. PLoS ONE |
| title | Observing Consistency in Online Communication Patterns for User Re-Identification. |
| title_full | Observing Consistency in Online Communication Patterns for User Re-Identification. |
| title_fullStr | Observing Consistency in Online Communication Patterns for User Re-Identification. |
| title_full_unstemmed | Observing Consistency in Online Communication Patterns for User Re-Identification. |
| title_short | Observing Consistency in Online Communication Patterns for User Re-Identification. |
| title_sort | observing consistency in online communication patterns for user re identification |
| url | http://europepmc.org/articles/PMC5137900?pdf=render |
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