| KUMPOŠT, Marek and Václav MATYÁŠ. User profiling and re-identification: Case of university-wide network analysis. Simone Fischer-Hübner, Costas Lambrinoudakis and Günther Pernul (Eds.). In Trust, Privacy and Security in Digital Business, 6th International Conference, TrustBus 2009. LNCS 5695. Heidelberg: Springer, Lecture Notes in Computer Science (LNCS), 2009, p. 1-10. ISBN 978-3-642-03747-4. Available from: https://dx.doi.org/10.1007/978-3-642-03748-1_1. |
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@inproceedings{842858,
author = {Kumpošt, Marek and Matyáš, Václav},
address = {Heidelberg},
booktitle = {Trust, Privacy and Security in Digital Business, 6th International Conference, TrustBus 2009},
doi = {http://dx.doi.org/10.1007/978-3-642-03748-1_1},
edition = {LNCS 5695},
keywords = {user profiling; network analysis; data mining; IDF; similarity searching; cosine similarity},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Heidelberg},
isbn = {978-3-642-03747-4},
pages = {1-10},
publisher = {Springer, Lecture Notes in Computer Science (LNCS)},
title = {User profiling and re-identification: Case of university-wide network analysis},
year = {2009}
}
TY - JOUR
ID - 842858
AU - Kumpošt, Marek - Matyáš, Václav
PY - 2009
TI - User profiling and re-identification: Case of university-wide network analysis
PB - Springer, Lecture Notes in Computer Science (LNCS)
CY - Heidelberg
SN - 9783642037474
KW - user profiling
KW - network analysis
KW - data mining
KW - IDF
KW - similarity searching
KW - cosine similarity
N2 - In this paper we present our methodology for context information processing, modeling users' behaviour and re-identification. Our primary interest is to what extent a user can be re-identified if we have his "user profile" and how much information is required for a successful re-identification. We operate with ``user profiles'' that reflect user's behaviour in the past. We describe the input date we use for building behavioural characteristics; similarity searching procedure and an evaluation of the re-identification process. We discuss (and provide results of our experiments) how different initial conditions, as well as different approaches used in the similarity searching phase, influence the results and propose the optimal scenario where we obtain the most accurate results. We provide experimental results of re-identification of three protocols (SSH, HTTP and HTTPS).
ER -
KUMPOŠT, Marek and Václav MATYÁŠ. User profiling and re-identification: Case of university-wide network analysis. Simone Fischer-Hübner, Costas Lambrinoudakis and Günther Pernul (Eds.). In \textit{Trust, Privacy and Security in Digital Business, 6th International Conference, TrustBus 2009}. LNCS 5695. Heidelberg: Springer, Lecture Notes in Computer Science (LNCS), 2009, p.~1-10. ISBN~978-3-642-03747-4. Available from: https://dx.doi.org/10.1007/978-3-642-03748-1\_{}1.
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