Big Data fingerprinting information analytics for sustainability

@article{Kobusiska2018BigDF,
  title={Big Data fingerprinting information analytics for sustainability},
  author={Anna Kobusińska and Kamil Pawluczuk and Jerzy Brzeziński},
  journal={Future Gener. Comput. Syst.},
  year={2018},
  volume={86},
  pages={1321-1337}
}
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9 Citations
Background Citations
3

9 Citations

Browser Fingerprint Coding Methods Increasing the Effectiveness of User Identification in the Web Traffic
TLDR
New algorithms for coding and comparing fingerprints are presented, in which the values of parameters with low stability and low entropy are especially taken into account.
Tracking Browser Fingerprint using Rule Based Algorithm
TLDR
This work explores the diversity and stability of browser fingerprint by modifying the rule-based algorithm and employing twenty (20) attributes to identify promising high value information to track how device information evolve and consistent in a period of time.
Actions speak louder than words: Semi-supervised learning for browser fingerprinting detection
TLDR
Over one hundred device-class fingerprinting scripts present on hundreds of domains are identified, the first time device- class fingerprinting has been measured in the wild, and the power of a sparse vector representation and semi-supervised learning to complement and extend existing tracking detection techniques.
Web Privacy Measurement in Real-Time Bidding Systems. A Graph-Based Approach to RTB System Classification
TLDR
It transpires that the interconnection between partners in an RTB network is caused by the data flows of the companies themselves due to their specializations in ad technology, and a Graph-Based Methodological Approach (GBMA) controls the situation of differences in consent implementations in European countries.
The Gaze and Mouse Signal as additional Source for User Fingerprints in Browser Applications
TLDR
In this work, different data sources for browser fingerprints are inspected and the influence of all possible combinations of the three information sources for user recognition are shown and described in detail.
Big data analytics for sustainability
Application of a Neural Network to Generate the Hash Code for a Device Fingerprint
Fingerprint Device Parameter Stability Analysis
Methods of Searching for Similar Device Fingerprints Using Changes in Unstable Parameters

References

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