Skip to main content
SpringerLink
Log in

RC-Security Mechanism to Prevent Attacks on IoT Smart Switch

  • Conference paper
  • First Online:
Computing Science, Communication and Security (COMS2 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1416))

Abstract

Now-a-days the technology advancement has made significant improvement in different sectors of the society. IoT is always having an important role dealing with all these smart devices and their security. One such security issue is DOS attacks which is very frequent in IOT devices. This paper provides a solution to the experiment on a NodeMCU12e based smart switch to prevent and mitigate the attacks executed on wireless embedded devices. The major idea for developing this model is to build a suitable security mechanism for constrained devices which are part of various IOT and CPS applications. The results presented claims that when attacks are executed on the device, further communications would be halted with unidentified IP addresses using Request Capturing Security Mechanism (RCSM).

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Change history

  • 16 June 2021

    In the originally published version of chapter 17, the name of the Author was incorrect. The Author’s name has been corrected as “V. Anantha Narayanan”.

References

  1. Silva, E., Galdino, M., Carmino, J., Bento, A.: An experiment with DDoS attack on NodeMCU12e devices for IoT with T50 Kali Linux. Int. J. Adv. Eng. Res. Sci. 6 (2019). https://doi.org/10.22161/ijaers.6.1.3

  2. Dorri, A., Kanhere, S.S., Jurdak, R., Gauravaram, P.: Blockchain for IoT security and privacy: the case study of a smart home. In: 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom workshops), pp. 618–623. IEEE (2017)

    Google Scholar 

  3. Thomas, A., Kumar, G.T., Mohan, A.K.: Neighbor attack detection in internet of things. In: Advanced Computational and Communication Paradigms, Singapore (2018)

    Google Scholar 

  4. Anirudh, M., Thileeban, S.A., Nallathambi, D.J.: Use of honeypots for mitigating DoS attacks targeted on IoT networks. In: 2017 International Conference on Computer, Communication and Signal Processing (ICCCSP), pp. 1–4. Chennai (2017)

    Google Scholar 

  5. Baig, Z.A., Sanguanpong, S., Firdous, S.N., Van Nhan, V., Nguyen, T.G., So-In, C.: Averaged dependence estimators for DoS attack detection in IoT networks. Future Gener. Comput. Syst. 102, 198–209 (2020)

    Google Scholar 

  6. David, J., Thomas, C.: Efficient DDoS flood attack detection using dynamic thresholding on flow-based network traffic. Comput. Secur. 82, 284–295 (2019)

    Article  Google Scholar 

  7. Shah, T., Venkatesan, S.: Authentication of IoT device and IoT server using secure vaults. In: 2018 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/12th IEEE International Conference on Big Data Science and Engineering (TrustCom/BigDataSE), pp. 819–824. IEEE (2018)

    Google Scholar 

  8. Gómez, J.R., Montoya, H.V., Henao, A.V.: Implementing a Wormhole Attack on Wireless Sensor Networks with XBee S2C Devices Revista Colombiana de Computación 20(1), 41–58 (2019)

    Google Scholar 

  9. Edward, M., Karyono, K., Meidia, H.: Smart fridge design using NodeMCU and home server based on Raspberry Pi 3. In: 2017 4th International Conference on New Media Studies (CONMEDIA), pp. 148–151. IEEE (2017)

    Google Scholar 

  10. Gaddam, R., Nandhini, M.: An analysis of various snort-based techniques to detect and prevent intrusions in networks proposal with code refactoring snort tool in Kali Linux environment. In: 2017 International Conference on Inventive Communication and Computational Technologies (ICICCT), pp. 10–15. IEEE (2017)

    Google Scholar 

  11. Deepak, B.D., Al-Turjman, F.: A hybrid secure routing and monitoring mechanism in IoT-based wireless sensor networks. Ad Hoc Netw. 97, art. no. 102022 (2020)

    Google Scholar 

  12. Shah, T., Venkatesan, S.: A method to secure IoT devices against botnet attacks. In: Issarny, V., Palanisamy, B., Zhang, L.J. (eds.) Internet of Things – ICIOT 2019. ICIOT 2019. Lecture Notes in Computer Science, vol. 11519. Springer, Cham (2019)

    Google Scholar 

  13. Yerlikaya, Ö., Dalkılıç, G.: Authentication and authorization mechanism on message queue telemetry transport protocol. In: 2018 3rd International Conference on Computer Science and Engineering (UBMK), pp. 145–150. Sarajevo (2018)

    Google Scholar 

  14. Jayaraj, P., Jayaraman, B.: DoS attacks on real-time media through indirect contention-in-hosts. IEEE Internet Comput. 13, 22–30 (2009)

    Google Scholar 

  15. Bharot, N., Verma, P., Suraparaju, V., Gupta, S.: Mitigating distributed denial of service attack in cloud computing environment using threshold based technique. Indian J. Sci. Technol. 9 (2016). https://doi.org/10.17485/ijst/2016/v9i38/98811

  16. Anthi, E., Williams, L., Slowinska, M., Theodorakopoulos, G., Burnap, P.: A supervised intrusion detection system for smart home IoT devices. IEEE Internet Things J. 6(5), art. no. 8753563, 9042–9053 (2019)

    Google Scholar 

  17. Asghar, M.R., Hu, Q., Zeadally, S.: Cybersecurity in industrial control systems: issues, technologies, and challenges. Comput. Netw. 165, art. no. 106946 (2019)

    Google Scholar 

  18. Ghani, A., Mansoor, K., Mehmood, S., Chaudhry, S.A., Rahman, A.U., Najmus Saqib, M.: Security and key management in IoT-based wireless sensor networks: an authentication protocol using symmetric key. Int. J. Commun. Syst. 32, (2019)

    Article  Google Scholar 

  19. Buriachok, V., Sokolov, V.: Using 2.4 GHz wireless botnets to implement denial-of-service attacks. 1, 14–21 (2018). https://doi.org/10.31435/rsglobal_wos/12062018/5734

  20. Lalitha, V.K., Mahalakshmi, B., Madhusudan., S., Srinivasaperumal, M., Srikanth, S., Kumar, S.R.: Smart control of home amenities using Google assistant and clap switch circuit. In: 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS), pp. 350–352. Coimbatore, India (2019)

    Google Scholar 

  21. Bhushan, D., Agrawal, R.: Security challenges for designing wearable and IoT solutions. Intell. Syst. Ref. Lib. 165, 109–138 (2020)

    Google Scholar 

  22. Aamir, M., Rizvi, S.S.H., Hashmani, M.A., Zubair, M., Ahmed, J.: Machine learning classification of port scanning and DDoS attacks: a comparative analysis. Mehran Univ. Res. J. Eng. Technol. 40(1), 215–229 (2021)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, India

    Jigar Makhija & V. Anantha Narayanan

Authors
  1. Jigar Makhija
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. V. Anantha Narayanan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jigar Makhija .

Editor information

Editors and Affiliations

  1. Ganpat University, Gujarat, India

    Nirbhay Chaubey

  2. Ganpat University, Gujarat, India

    Satyen Parikh

  3. Ganpat University, Gujarat, India

    Kiran Amin

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Makhija, J., Anantha Narayanan, V. (2021). RC-Security Mechanism to Prevent Attacks on IoT Smart Switch. In: Chaubey, N., Parikh, S., Amin, K. (eds) Computing Science, Communication and Security. COMS2 2021. Communications in Computer and Information Science, vol 1416. Springer, Cham. https://doi.org/10.1007/978-3-030-76776-1_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-76776-1_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-76775-4

  • Online ISBN: 978-3-030-76776-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation