SpringerLink
Log in

IoT-Driven Smart Housing: Strengthening Housing Society Automation Through Secure and Futuristic Networks

  • Conference paper
  • First Online:
Forthcoming Networks and Sustainability in the AIoT Era (FoNeS-AIoT 2024)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 1036))

  • 14 Accesses

Abstract

Technological evolution with lighting speed is wrap** everything from the short of daily household works to global trade. It is the most exploding industry in the twentieth century. In this paper an idea is proposed how real estate businesses can automate housing society based on IoT and Networking architecture. To visually present proposed idea, it is simulated in Cisco Packet Tracer. All houses, power station, control center and bank in simulated environment are setup with IoT devices and connected using switches and routers. Using VLSM (Variable Length Subnet Mask) techniques all networks of connected devices are assigned IP address for unique identification. Through this simulation, an attempt has been made how networking can help IoT devices to make a housing society smarter and secure. In future, we are ambitious to expand this research by integrating machine learning concepts to make this network, work intelligently and can predict events and respond to them accordingly.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /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
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Zhang, H., Li, J., Wen, B., Xun, Y., Liu, J.: Connecting intelligent things in smart hospitals using NB-IoT. IEEE Internet GS J. 5(3), 1550–1560 (2018)

    Google Scholar 

  2. Kim, Y., Song, C., Han, H., Jung, H., Kang, S.: Collaborative task scheduling for IoT-assisted edge computing. IEEE Access 8, 216593–216606 (2020)

    Article  Google Scholar 

  3. Elijah, O., Rahman, T.A., Orikumhi, I., Leow, C.Y., Hindia, M.N.: An overview of Internet of Things (IoT) and data analytics in agriculture: benefits and challenges. IEEE Internet Things J. 5(5), 3758–3773 (2018)

    Article  Google Scholar 

  4. Chen, S., Yang, C., Li, J., Yu, F.R.: Full lifecycle infrastructure management system for smart cities: a narrow band IoT-based platform. IEEE Internet Things J. 6(5), 8818–8825 (2019)

    Article  Google Scholar 

  5. Cheng, B., Solmaz, G., Cirillo, F., Kovacs, E., Terasawa, K., Kitazawa, A.: FogFlow: easy programming of IoT services over cloud and edges for smart cities. IEEE Internet Things J. 5(2), 696–707 (2018)

    Article  Google Scholar 

  6. Liu, H., Han, D., Li, D.: Fabric-IoT: a blockchain-based access control system in IoT. IEEE Access 8, 18207–18218 (2020)

    Article  Google Scholar 

  7. Pierleoni, P., Concetti, R., Belli, A., Palma, L.: Amazon, Google and Microsoft Solutions for IoT: architectures and a performance comparison. IEEE Access 8, 5455–5470 (2020)

    Article  Google Scholar 

  8. Badii, C., Bellini, P., Difino, A., Nesi, P.: Smart city IoT platform respecting GDPR privacy and security aspects. IEEE Access 8, 23601–23623 (2020)

    Article  Google Scholar 

  9. Ndiaye, M., Oyewobi, S.S., Abu-Mahfouz, A.M., Hancke, G.P., Kurien, A.M., Djouani, K.: IoT in the wake of COVID-19: a survey on contributions, challenges and evolution. IEEE Access 8, 186821–186839 (2020)

    Article  Google Scholar 

  10. Compare, M., Baraldi, P., Zio, E.: Challenges to IoT-enabled predictive maintenance for Industry 4.0. IEEE Internet Things J. 7(5), 4585–4597 (2020)

    Article  Google Scholar 

  11. Iqbal, W., Abbas, H., Daneshmand, M., Rauf, B., Bangash, Y.A.: An in-depth analysis of IoT security requirements, challenges, and their countermeasures via software-defined security. IEEE Internet Things J. 7(10), 10250–10276 (2020)

    Article  Google Scholar 

  12. Swamy, S.N., Kota, S.R.: An empirical study on system level aspects of Internet of Things (IoT). IEEE Access 8, 188082–188134 (2020)

    Article  Google Scholar 

  13. Meneghello, F., Calore, M., Zucchetto, D., Polese, M., Zanella, A.: IoT: internet of threats? A survey of practical security vulnerabilities in real IoT devices. IEEE Internet Things J. 6(5), 8182–8201 (2019)

    Article  Google Scholar 

  14. Said, O., Al-Makhadmeh, Z., Tolba, A.: EMS: an energy management scheme for Green IoT environments. IEEE Access 8, 44983–44998 (2020)

    Article  Google Scholar 

  15. Frustaci, M., Pace, P., Aloi, G., Fortino, G.: Evaluating critical security issues of the IoT world: present and future challenges. IEEE Internet Things J. 5(4), 2483–2495 (2018)

    Article  Google Scholar 

  16. Said, O., Albagory, Y., Nofal, M., Al Raddady, F.: IoT-RTP and IoT-RTCP: adaptive protocols for multimedia transmission over internet of things environments. IEEE Access 5(c), 16757–16773 (2017)

    Google Scholar 

  17. Samaila, M.G., Sequeiros, J.B.F., Simoes, T., Freire, M.M., Inacio, P.R.M.: IoT-HarPSecA: a framework and roadmap for secure design and development of devices and applications in the IoT space. IEEE Access 8, 16462–16494 (2020)

    Article  Google Scholar 

  18. Zarca, A.M., Bernabe, J.B., Skarmeta, A., Alcaraz Calero, J.M.: Virtual IoT HoneyNets to mitigate cyberattacks in SDN/NFV-Enabled IoT networks. IEEE J. Sel. Areas Commun., 38(6), 1262–1277 (2020)

    Google Scholar 

  19. Alsaedi, A., Moustafa, N., Tari, Z., Mahmood, A., Anwar, A.: TON_IoT telemetry dataset: a new generation dataset of IoT and IIoT for data-driven intrusion detection systems. IEEE Access 8, 165130–165150 (2020)

    Article  Google Scholar 

  20. Yi, M., Xu, X., Xu, L.: An intelligent communication warning vulnerability detection algorithm based on IoT technology. IEEE Access 7, 164803–164814 (2019)

    Article  Google Scholar 

  21. Chen, S., Xu, H., Liu, D., Hu, B., Wang, H.: A vision of IoT: applications, challenges, and opportunities with China perspective. IEEE Internet Things J. 1(4), 349–359 (2014)

    Article  Google Scholar 

  22. Petrov, V., et al.: Vehicle-based relay assistance for opportunistic crowdsensing over narrowband IoT (NB-IoT). IEEE Internet Things J. 5(5), 3710–3723 (2018)

    Article  Google Scholar 

  23. Khanna, A., Kaur, S.: Internet of Things (IoT), Appl. Chall.: Compr. Rev. 114(2) (2020)

    Google Scholar 

  24. Maroli, A.A., Narwane, V.S., Raut, R.D., Narkhede, B.E.: Framework for the implementation of an Internet of Things (IoT)-based water distribution and management system. Clean Technol. Environ. Policy 23(1), 271–283 (2021)

    Article  Google Scholar 

  25. Condry, M.W., Nelson, C.B.: Using smart edge IoT devices for safer, rapid response with industry IoT control operations. Proc. IEEE 104(5), 938–946 (2016)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Software Engineering, Lahore Garrison University, Lahore, Pakistan

    Muhammad Jawad, Shagufta Iftikhar & Rafaqat Alam Khan

  2. Digital Forensics Research and Service Center, Lahore Garrison University, Lahore, Pakistan

    Muhammad Taseer Suleman

  3. Department of Computer Science, COMSATS University Islamabad, Lahore Campus, Pakistan

    Tariq Umer

  4. Department of Computing, School of Arts, Humanities and Social Sciences, University of Roehampton, London, SW15 5PU, UK

    Momina Shaheen

Authors
  1. Muhammad Jawad
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shagufta Iftikhar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Rafaqat Alam Khan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Muhammad Taseer Suleman
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Tariq Umer
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Momina Shaheen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tariq Umer .

Editor information

Editors and Affiliations

  1. Department of Computer Engineering, Istanbul Sabahattin Zaim University, Istanbul, Türkiye

    Jawad Rasheed

  2. Council for Scientific and Industrial Research (CSIR), Pretoria, South Africa

    Adnan M. Abu-Mahfouz

  3. School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UK

    Muhammad Fahim

Rights and permissions

Reprints and permissions

Copyright information

© 2024 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

Jawad, M., Iftikhar, S., Khan, R.A., Suleman, M.T., Umer, T., Shaheen, M. (2024). IoT-Driven Smart Housing: Strengthening Housing Society Automation Through Secure and Futuristic Networks. In: Rasheed, J., Abu-Mahfouz, A.M., Fahim, M. (eds) Forthcoming Networks and Sustainability in the AIoT Era. FoNeS-AIoT 2024. Lecture Notes in Networks and Systems, vol 1036. Springer, Cham. https://doi.org/10.1007/978-3-031-62881-8_25

Download citation

Publish with us

Policies and ethics

Search

Navigation