Skip to main content

Prevention of IoT-Enabled Crime Using Home Routers (PITCHR)

  • Conference paper
  • First Online:
Science and Technologies for Smart Cities (SmartCity 360 2021)

Abstract

The home router has traditionally been the access point for home users to access email and web services through a desktop computer but has now become the entry point for a myriad of Internet-connected devices. With nearly all households in Europe having high-speed broadband connection, home routers have become targets for most cyber-attacks. This paper presents the findings of a study on the Prevention of IoT-enabled Crime using Home Routers (PITCHR). The study aims to understand the perspectives of the major stakeholders of the home router network in PITCHR, their respective roles and responsibilities, and make recommendations for future research directions. To achieve this, we conducted a review of state of the art, which informed a series of focus group discussions, with 26 participants from the respective stakeholder groups – Service Providers including Internet Service Providers, Hardware Manufacturers, Citizens, Citizen and Industry Groups, Government and Academics. Ten (10) themes emerged from the thematic coding of the focus group discussions. The findings of the study were presented in a combined stakeholder workshop. The study made recommendations for consideration.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • 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

Institutional subscriptions

References

  1. Ray, A.K., Bagwari, A.: IoT based smart home: security aspects and security architecture. In: IEEE 9th International Conference on Communication Systems and Network Technologies (CSNT), pp. 218–222 (2020)

    Google Scholar 

  2. Maple, C.: Security and privacy in the Internet of things. J. Cyber Policy 2, 155–184 (2017)

    Article  Google Scholar 

  3. Stellios, I., Kotzanikolaou, P., Psarakis, M., Alcaraz, C., Lopez, J.: A survey of IoT-enabled cyberattacks: assessing attack paths to critical infrastructures and services. IEEE Commun. Surveys Tutorials 20, 3453–3495 (2018)

    Article  Google Scholar 

  4. Eurostat - Digital economy and society statistics - households and individuals https://ec.europa.eu/eurostat/databrowser/view/isoc_ci_in_h/default/bar?lang=en Accessed 5 Feb 2021

  5. German Federal Office for Information Security: BSI TR-03148 Secure Broadband Router, BSI TR-03148:Secure Broadband Router (bund.de), Accessed Feb 2021

    Google Scholar 

  6. Teiss: All home routers sold by top European vendors feature security flaws https://www.teiss.co.uk/all-home-routers-vulnerable-threats/ Accessed 5 Feb 2021

  7. Blythe, J., Sombatruang, N., Johnson, S.: What security features and crime prevention advice is communicated in consumer IoT device manuals and support pages? Journal of Cybersecurity 5, 1–10 (2019)

    Article  Google Scholar 

  8. Kebande, V.R., Karie, N.M., Michael, A., Malapane, S.M.G., Venter, H.S.: How an IoT-enabled “smart refrigerator” can play a clandestine role in perpetuating cyber-crime. In: IST-Africa Week Conference (IST-Africa), Windhoek, pp. 1–10 (2017)

    Google Scholar 

  9. Qorvo ‘The WiFi Evolution’, White Paper https://www.qorvo.com/-/media/files/qorvopublic/white-papers/qorvo-the-wi-fi-evolution-white-paper.pdf Accessed 30 Jan 2021

  10. Mocrii, D., Chen, Y., Musilek, P.: ‘IoT-based smart homes: a review of system architecture, software, communications, privacy and security. Internet of Things’ 1(2), 81–98 (2018)

    Article  Google Scholar 

  11. Department for Digital, Culture, Media & Sports and National Cyber Security Centre https://www.gov.uk/government/news/government-to-strengthen-security-of-internet-connected-products#:~:text=These%20are%3A,on%20in%20a%20timely%20manner Accessed 20 Oct 2020

  12. Mao, J., Lin, Q., Bia, J.: Application of learning algorithms in smart home IoT system security, Math. Found. Comput. 2–27 (2018)

    Google Scholar 

Download references

Acknowledgements

The study was funded by The Dawes Centre for Future Crime (DCFC) at UCL.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mary Asante .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Asante, M., Maple, C., Epiphaniou, G. (2022). Prevention of IoT-Enabled Crime Using Home Routers (PITCHR). In: Paiva, S., et al. Science and Technologies for Smart Cities. SmartCity 360 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 442. Springer, Cham. https://doi.org/10.1007/978-3-031-06371-8_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-06371-8_31

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06370-1

  • Online ISBN: 978-3-031-06371-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics