Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Information storage and retrieval
Information storage and retrieval
Data Preparation for User Profiling from Traffic Log
SECUREWARE '07 Proceedings of the The International Conference on Emerging Security Information, Systems, and Technologies
Robust De-anonymization of Large Sparse Datasets
SP '08 Proceedings of the 2008 IEEE Symposium on Security and Privacy
Privacy-preserving DNS: analysis of broadcast, range queries and mix-based protection methods
ESORICS'11 Proceedings of the 16th European conference on Research in computer security
Analyzing characteristic host access patterns for re-identification of web user sessions
NordSec'10 Proceedings of the 15th Nordic conference on Information Security Technology for Applications
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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).