Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Robotic Process Automation in the Automotive Industry - Lessons Learned from an Exploratory Case Study Read chapter Read first chapter

2021 | OriginalPaper | Chapter

PriGen: Towards Automated Translation of Android Applications’ Code to Privacy Captions

Authors : Vijayanta Jain, Sanonda Datta Gupta, Sepideh Ghanavati, Sai Teja Peddinti

Published in: Research Challenges in Information Science

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Mobile applications are required to give privacy notices to the users when they collect or share personal information. Creating consistent and concise privacy notices can be a challenging task for developers. Previous work has attempted to help developers create privacy notices through a questionnaire or predefined templates. In this paper, we propose a novel approach and a framework, called PriGen, that extends these prior work. PriGen uses static analysis to identify Android applications’ code segments which process personal information (i.e. permission-requiring code segments) and then leverages a Neural Machine Translation model to translate them into privacy captions. We present the initial analysis of our translation task for \(\sim \)300,000 code segments.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter PHIN: A Privacy Protected Heterogeneous IoT Network
next chapter CompLicy: Evaluating the GDPR Alignment of Privacy Policies - A Study on Web Platforms
Footnotes
Literature
1.
2.
Allix, K., Bissyandé, T.F., Klein, J., Le Traon, Y.: AndroZoo: collecting millions of android apps for the research community. In: Proceedings of the 13th International Conference on Mining Software Repositories MSR 2016, pp. 468–471. ACM (2016)
3.
Alon, U., Brody, S., Levy, O., Yahav, E.: code2seq: Generating sequences from structured representations of code. In: International Conference on Learning Representations (2019)
4.
Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate (2014). arXiv preprint: arXiv:​1409.​0473
5.
Commission, F.T., et al.: Mobile Privacy Disclosures: Building Trust Through Transparency. Federal Trade Commission, USA (2013)
6.
Gorla, A., Tavecchia, I., Gross, F., Zeller, A.: Checking app behavior against app descriptions. In: Proceedings of the 36th International Conference on Software Engineering, pp. 1025–1035 (2014)
7.
Iyer, S., Konstas, I., Cheung, A., Zettlemoyer, L.: Summarizing source code using a neural attention model. In: Proceedings of the 54th Annual Meeting of the ACL, pp. 2073–2083 (2016)
8.
Jiang, S., Armaly, A., McMillan, C.: Automatically generating commit messages from diffs using neural machine translation. In: 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 135–146 (2017)
9.
LeClair, A., Haque, S., Wu, L., McMillan, C.: Improved code summarization via a graph neural network (2020). arXiv preprint: arXiv:​2004.​02843
10.
11.
Lin, C.Y.: Rouge: a package for automatic evaluation of summaries. In: Text Summarization Branches Out, pp. 74–81 (2004)
12.
Liu, X., Leng, Y., Yang, W., Wang, W., Zhai, C., Xie, T.: A large-scale empirical study on android runtime-permission rationale messages. In: The Symposium on Visual Languages and Human-Centric Computing, pp. 137–146. IEEE (2018)
13.
Liu, X., Leng, Y., Yang, W., Zhai, C., Xie, T.: Mining android app descriptions for permission requirements recommendation. In: The 26th International Requirements Engineering Conference, pp. 147–158. IEEE (2018)
14.
Loyola, P., Marrese-Taylor, E., Matsuo, Y.: A neural architecture for generating natural language descriptions from source code changes (2017). arXiv preprint: arXiv:​1704.​04856
15.
Okoyomon, E., et al.: On the ridiculousness of notice and consent: contradictions in app privacy policies (2019)
16.
Papineni, K., Roukos, S., Ward, T., Zhu, W.J.: BLEU: a method for automatic evaluation of machine translation. In: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, pp. 311–318. ACL (2002)
17.
Peddinti, S.T., Bilogrevic, I., Taft, N., Pelikan, M., Erlingsson, Ú., Anthonysamy, P., Hogben, G.: Reducing permission requests in mobile apps. In: Proceedings of the Internet Measurement Conference, pp. 259–266 (2019)
18.
Reyes, I., et al.: “won’t somebody think of the children?’’ Examining COPPA compliance at scale. Proc. PETS 2018(3), 63–83 (2018)
19.
Rosen, S., Qian, Z., Mao, Z.M.: Appprofiler: a flexible method of exposing privacy-related behavior in android applications to end users. In: Proceedings of the Third ACM Conference on Data and Application Security and Privacy, pp. 221–232 (2013)
20.
Rowan, M., Dehlinger, J.: Encouraging privacy by design concepts with privacy policy auto-generation in eclipse (page). In: Proceedings of the 2014 Workshop on Eclipse Technology eXchange, pp. 9–14 (2014)
21.
Slavin, R., et al.: PVDetector: a detector of privacy-policy violations for android apps. In: IEEE/ACM International Conference of MOBILESoft, pp. 299–300 (2016)
22.
Sun, R., Xue, M.: Quality assessment of online automated privacy policy generators: an empirical study. In: Proceedings of the Evaluation and Assessment in Software Engineering, pp. 270–275 (2020)
23.
Yu, L., Zhang, T., Luo, X., Xue, L., Chang, H.: Toward automatically generating privacy policy for android apps. IEEE Trans. Inf. Forensics Secur. 12(4), 865–880 (2016)CrossRef
24.
Zimmeck, S., Goldstein, R., Baraka, D.: Privacyflash pro: automating privacy policy generation for mobile apps. In: 28th Network and Distributed System Security Symposium (NDSS 2021). NDSS 2021, Internet Society, Online, February 2021
25.
Zimmeck, S., et al.: Maps: scaling privacy compliance analysis to a million apps. Proc. PETs 2019(3), 66–86 (2019)
Metadata
Title
PriGen: Towards Automated Translation of Android Applications’ Code to Privacy Captions
Authors
Vijayanta Jain
Sanonda Datta Gupta
Sepideh Ghanavati
Sai Teja Peddinti
Copyright Year
2021
Book
Research Challenges in Information Science

Print ISBN: 978-3-030-75017-6

Electronic ISBN: 978-3-030-75018-3

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-75018-3_9

Premium Partner

    Image Credits