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2018 | OriginalPaper | Buchkapitel

KnIGHT: Mapping Privacy Policies to GDPR

verfasst von : Najmeh Mousavi Nejad, Simon Scerri, Jens Lehmann

Erschienen in: Knowledge Engineering and Knowledge Management

Verlag: Springer International Publishing

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Abstract

Although the use of apps and online services comes with accompanying privacy policies, a majority of end-users ignore them due to their length, complexity and unappealing presentation.pite the potential risks. In light of the, now enforced EU-wide, General Data Protection Regulation (GDPR) we present an automatic technique for mapping privacy policies excerpts to relevant GDPR articles so as to support average users in understanding their usage risks and rights as a data subject. KnIGHT (Know your rIGHTs), is a tool that finds candidate sentences in a privacy policy that are potentially related to specific articles in the GDPR. The approach employs semantic text matching in order to find the most appropriate GDPR paragraph, and to the best of our knowledge is one of the first automatic attempts of its kind applied to a company’s policy. Our evaluation shows that on average between 70–90% of the tool’s automatic mappings are at least partially correct, meaning that the tool can be used to significantly guide human comprehension. Following this result, in the future we will utilize domain-specific vocabularies to perform a deeper semantic analysis and improve the results further.

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Literatur
3.
Zurück zum Zitat Alzahrani, S., Salim, N., Abraham, A.: Understanding plagiarism linguistic patterns, textual features, and detection methods. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 42, 133–149 (2012)CrossRef Alzahrani, S., Salim, N., Abraham, A.: Understanding plagiarism linguistic patterns, textual features, and detection methods. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 42, 133–149 (2012)CrossRef
4.
Zurück zum Zitat Bartolini, C., Muthuri, R.: Reconciling data protection rights and obligations: an ontology of the forthcoming EU regulation. In: Proceedings of the Workshop on Language and Semantic Technology for Legal Domain (LST4LD) (2015) Bartolini, C., Muthuri, R.: Reconciling data protection rights and obligations: an ontology of the forthcoming EU regulation. In: Proceedings of the Workshop on Language and Semantic Technology for Legal Domain (LST4LD) (2015)
5.
Zurück zum Zitat Breaux, T.D., Vail, M.W., Anton, A.I.: Towards regulatory compliance: Extracting rights and obligations to align requirements with regulations. In: Proceedings of the 14th IEEE International Requirements Engineering Conference, pp. 46–55. RE 2006. IEEE Computer Society, Washington, DC (2006). https://doi.org/10.1109/RE.2006.68 Breaux, T.D., Vail, M.W., Anton, A.I.: Towards regulatory compliance: Extracting rights and obligations to align requirements with regulations. In: Proceedings of the 14th IEEE International Requirements Engineering Conference, pp. 46–55. RE 2006. IEEE Computer Society, Washington, DC (2006). https://​doi.​org/​10.​1109/​RE.​2006.​68
6.
Zurück zum Zitat Cohen, J.M.: Weighted kappa: nominal scale agreement with provision for scaled disagreement or partial credit. Psychol. Bull. 70(4), 213–20 (1968)CrossRef Cohen, J.M.: Weighted kappa: nominal scale agreement with provision for scaled disagreement or partial credit. Psychol. Bull. 70(4), 213–20 (1968)CrossRef
7.
Zurück zum Zitat Costante, E., Sun, Y., Petković, M., den Hartog, J.: A machine learning solution to assess privacy policy completeness: (short paper). In: Proceedings of the 2012 ACM Workshop on Privacy in the Electronic Society, pp. 91–96. WPES 2012. ACM, New York (2012). https://doi.org/10.1145/2381966.2381979 Costante, E., Sun, Y., Petković, M., den Hartog, J.: A machine learning solution to assess privacy policy completeness: (short paper). In: Proceedings of the 2012 ACM Workshop on Privacy in the Electronic Society, pp. 91–96. WPES 2012. ACM, New York (2012). https://​doi.​org/​10.​1145/​2381966.​2381979
11.
Zurück zum Zitat Guntamukkala, N., Dara, R., Grewal, G.W.: A machine-learning based approach for measuring the completeness of online privacy policies. In: 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), pp. 289–294 (2015) Guntamukkala, N., Dara, R., Grewal, G.W.: A machine-learning based approach for measuring the completeness of online privacy policies. In: 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), pp. 289–294 (2015)
12.
Zurück zum Zitat Harkous, H., Fawaz, K., Lebret, R., Schaub, F., Shin, K.G., Aberer, K.: Polisis: automated analysis and presentation of privacy policies using deep learning. CoRR abs/1802.02561 (2018) Harkous, H., Fawaz, K., Lebret, R., Schaub, F., Shin, K.G., Aberer, K.: Polisis: automated analysis and presentation of privacy policies using deep learning. CoRR abs/1802.02561 (2018)
19.
Zurück zum Zitat Wilson, S., et al.: The creation and analysis of a website privacy policy corpus. In: ACL (2016) Wilson, S., et al.: The creation and analysis of a website privacy policy corpus. In: ACL (2016)
Metadaten
Titel
KnIGHT: Mapping Privacy Policies to GDPR
verfasst von
Najmeh Mousavi Nejad
Simon Scerri
Jens Lehmann
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-030-03667-6_17