Movatterモバイル変換

[0]ホーム
URL:

Skip to main content

Advertisement

Springer Nature Link
Log in

Securing Cyber-Physical Spaces with Hybrid Analytics: Vision and Reference Architecture

  • Conference paper
  • First Online:

Abstract

Considering the massive increase in the number of crimes in the last decade, as well as the outlook toward smarter cities and more sustainable urban living, the emergingcyber-physical space (CPS) obtained by the interaction of such physical spaces with thecyber elements around them (e.g., think of Internet-of-Things devices or hyperconnected mobility), plays a key role in the protection of urban social living, e.g., social events or daily routines. For example, the hyperconnectedness of a CPS to many networks can lead to potential vulnerability. This vision paper aims to outline a vision and reference architecture where CPS protection is center-stage and where CPS models as well as so-called hybrid analytics work jointly to help the Law Enforcement Agents (LEAs), e.g., in event monitoring and early detection of criticalities. As a part of validating said reference architecture, we implement a case study in the scope of VISOR, a Dutch government project aimed at improving CPS protection using hybrid analytics. We conduct a field experiment in the Paaspop social event and festival grounds to test and select the most appropriate device configuration. There we experiment with a CPS protection pipeline featuring several components reflected in the reference architecture, e.g., the KGen middleware, a prototype tool to anonymize structured big data using genetic algorithms, and SENSEI, a framework for dark web marketplace analytics. We conclude that hybrid analytics offer a considerable ground for more sustainable CPS.

This is a preview of subscription content,log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 9723
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 12154
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide -see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Similar content being viewed by others

References

  1. Casale, G., Li, C.: Enhancing big data application design with the DICE framework. In: Mann, Z.Á., Stolz, V. (eds.) ESOCC 2017. CCIS, vol. 824, pp. 164–168. Springer, Cham (2018).https://doi.org/10.1007/978-3-319-79090-9_13

    Chapter  Google Scholar 

  2. Cervantes, H., Kazman, R.: Designing Software Architectures: A Practical Approach. Addison-Wesley Professional, Boston (2016)

    Google Scholar 

  3. Da Silva, T.L.C., de Macêdo, J.A., Casanova, M.A.: Discovering frequent mobility patterns on moving object data. In: Proceedings of the Third ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, pp. 60–67 (2014)

    Google Scholar 

  4. De Pascale, D., Cascavilla, G., Sangiovanni, M., Tamburri, D.A., van den Heuvel, W.J.: Internet-of-things architectures for secure cyber-physical spaces: the visor experience report. arXiv preprintarXiv:2204.01531 (2022)

  5. De Pascale, D., Cascavilla, G., Tamburri, D.A., Van Den Heuvel, W.J.: Sensei: scraper for enhanced analysis to evaluate illicit trends. SSRN 3976047 (2022)

    Google Scholar 

  6. Du, B., Liu, C., Zhou, W., Hou, Z., Xiong, H.: Detecting pickpocket suspects from large-scale public transit records. IEEE Trans. Knowl. Data Eng.31(3), 465–478 (2018)

    Article  Google Scholar 

  7. El Emam, K., et al.: A globally optimal k-anonymity method for the de-identification of health data. J. Am. Med. Inform. Assoc.16(5), 670–682 (2009)

    Article  Google Scholar 

  8. Garroppo, R.G., Niccolini, S.: Anomaly detection mechanisms to find social events using cellular traffic data. Comput. Commun.116, 240–252 (2018)

    Article  Google Scholar 

  9. Goldberg, D.E., Holland, J.H.: Genetic algorithms and machine learning. Mach. Learn.3(2), 95–99 (1988)

    Article  Google Scholar 

  10. Hayes, D.R., Cappa, F., Cardon, J.: A framework for more effective dark web marketplace investigations. Information9(8), 186 (2018)

    Article  Google Scholar 

  11. Hogan, A., et al.: Knowledge graphs (2020)

    Google Scholar 

  12. Lee, E.A.: Cyber physical systems: design challenges. In: 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC), pp. 363–369. IEEE (2008)

    Google Scholar 

  13. Lee, E.A.: CPS foundations. In: Design Automation Conference, pp. 737–742. IEEE (2010)

    Google Scholar 

  14. Lee, E.A.: The past, present and future of cyber-physical systems: a focus on models. Sensors15(3), 4837–4869 (2015)

    Article  Google Scholar 

  15. LeFevre, K., DeWitt, D.J., Ramakrishnan, R.: Incognito: efficient full-domain k-anonymity. In: Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, pp. 49–60. ACM (2005)

    Google Scholar 

  16. Nagarajan, S.M., Deverajan, G.G., Bashir, A.K., Mahapatra, R.P., Al-Numay, M.S.: IADF-CPS: intelligent anomaly detection framework towards cyber physical systems. Comput. Commun. (2022)

    Google Scholar 

  17. Perrone, G., Vecchio, M., Pecori, R., Giaffreda, R., et al.: The day after Mirai: a survey on MQTT security solutions after the largest cyber-attack carried out through an army of IoT devices. In: IoTBDS, pp. 246–253 (2017)

    Google Scholar 

  18. Samarati, P.: Protecting respondents identities in microdata release. IEEE Trans. Knowl. Data Eng.13(6), 1010–1027 (2001)

    Article  Google Scholar 

  19. Sweeney, L.: Guaranteeing anonymity when sharing medical data, the Datafly system. In: Proceedings of the AMIA Annual Fall Symposium, p. 51. American Medical Informatics Association (1997)

    Google Scholar 

  20. Sweeney, L.: Achieving k-anonymity privacy protection using generalization and suppression. Internat. J. Uncertain. Fuzziness Knowl.-Based Syst.10(05), 571–588 (2002)

    Article MathSciNet  Google Scholar 

  21. Voigt, P., von dem Bussche, A.: The EU General Data Protection Regulation (GDPR). A Practical Guide, 1st edn. Springer, Cham (2017).https://doi.org/10.1007/978-3-319-57959-7

  22. Wikipedia: The Hidden Wiki (2022).https://en.wikipedia.org/wiki/The_Hidden_Wiki

  23. Yuan, Y., Fang, J., Wang, Q.: Online anomaly detection in crowd scenes via structure analysis. IEEE Trans. Cybern.45(3), 548–561 (2014)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Jheronimus Academy of Data Science, Tilburg University, Tilburg, The Netherlands

    Daniel De Pascale, Mirella Sangiovanni & Willem-Jan Van Den Heuvel

  2. Jheronimus Academy of Data Science, TU/e - Eindhoven University of Technology, Eindhoven, The Netherlands

    Giuseppe Cascavilla & Damian A. Tamburri

Authors
  1. Daniel De Pascale

    You can also search for this author inPubMed Google Scholar

  2. Mirella Sangiovanni

    You can also search for this author inPubMed Google Scholar

  3. Giuseppe Cascavilla

    You can also search for this author inPubMed Google Scholar

  4. Damian A. Tamburri

    You can also search for this author inPubMed Google Scholar

  5. Willem-Jan Van Den Heuvel

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence toDaniel De Pascale.

Editor information

Editors and Affiliations

  1. Norwegian University of Science and Technology, Gjøvik, Norway

    Sokratis Katsikas

  2. Polytechnique Montréal, Montreal, Canada

    Frédéric Cuppens

  3. University of the Aegean, Mytilene, Greece

    Christos Kalloniatis

  4. University of Toronto, Toronto, ON, Canada

    John Mylopoulos

  5. Technical University of Berlin, Berlin, Germany

    Frank Pallas

  6. Alexander von Humboldt Institute for Internet and Society, Berlin, Germany

    Jörg Pohle

  7. Ruhr University Bochum, Bochum, Germany

    M. Angela Sasse

  8. Norwegian Computing Center, Oslo, Norway

    Habtamu Abie

  9. University of Trento, Trento, Italy

    Silvio Ranise

  10. University of Genoa, Genoa, Italy

    Luca Verderame

  11. Consiglio Nazionale delle Ricerche (CNR), Genoa, Italy

    Enrico Cambiaso

  12. Indra, Alcobendas, Spain

    Jorge Maestre Vidal

  13. Indra, Alcobendas, Spain

    Marco Antonio Sotelo Monge

  14. George Mason University, Fairfax, VA, USA

    Massimiliano Albanese

  15. Norwegian University of Science and Technology, Gjøvik, Norway

    Basel Katt

  16. Norwegian Computing Center, Oslo, Norway

    Sandeep Pirbhulal

  17. Institute for Energy Technology, Halden, Norway

    Ankur Shukla

Rights and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

De Pascale, D., Sangiovanni, M., Cascavilla, G., Tamburri, D.A., Van Den Heuvel, WJ. (2023). Securing Cyber-Physical Spaces with Hybrid Analytics: Vision and Reference Architecture. In: Katsikas, S.,et al. Computer Security. ESORICS 2022 International Workshops. ESORICS 2022. Lecture Notes in Computer Science, vol 13785. Springer, Cham. https://doi.org/10.1007/978-3-031-25460-4_23

Download citation

Publish with us

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 9723
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 12154
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide -see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

[8]ページ先頭
©2009-2025 Movatter.jp