Skip to main content

AROSTEV: A Unified Framework to Enhance Secure Routing in IoT Environment

  • Conference paper
  • First Online:
Advances in Computational Intelligence and Communication Technology

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 399))

Abstract

The Internet of Things (IoT) is a global network which collects, process, and analyzes the data. IoT sensors and devices are limited to low memory, power, and processing capabilities. The RPL is a proactive routing protocol which is mainly intended for the IoT. There is a possibility of routing vulnerabilities, which masquerade the data in IoT environment. In order to overcome this problem, a framework called AROSTEV is proposed which comprises of three techniques such as RDAID, RIAIDRPL, and E2V. The primary objective of AROSTEV framework is to detect and mitigate the routing attacks such as rank decreased attack (RDA), rank increased attack (RIA), and rank inconsistency attack (RInA), respectively. Each technique takes the responsibility to progress its activity against the internal routing attacks. This framework can be used to implement the smart city environment.

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

Access this chapter

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 189.00
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 shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Shahid R, Wallgren L, Voigt T (2013) SVELTE: real-time intrusion detection in the internet of things. Ad hoc Netw 11(8):2661–2674

    Google Scholar 

  2. Christian C, Poplade D, Nogueira M, Santos A (2015) Detection of sinkhole attacks for supporting secure routing on 6lowpan for internet of things. In: Integrated network management (IM), IFIP/IEEE international symposium on IEEE (2015)

    Google Scholar 

  3. Surendar M, Uma Makeswari A (2019) InDReS: an intrusion detection and response system for internet of things with 6LoWPAN. In: Wireless communications, signal processing and networking (WiSPNET), international conference on IEEE, pp 1903–1908

    Google Scholar 

  4. Stephen R, Arockiam L (2018) RDAID: rank decreased attack identification algorithm for internet of things. Int J Scientif Res Comput Sci Appl Manage Stud (IJSRCSAMS) 7(3). ISSN: 2319–1953

    Google Scholar 

  5. Stephen R, Arockiam L (2018) RIAIDRPL: rank increased attack identification algorithm for avoiding loop in the RPL DODAG. Int J Pure Appl Math (IJPAM) 119(16):1203–1210. ISSN: 1314–3395

    Google Scholar 

  6. Stephen R, Arockiam L (2018) E2V: techniques for detecting and mitigating rank inconsistency attack (RInA) in RPL based internet of things. J Phys: Conf Ser (JPCS) 1142:75–86. IOP publishing, ISBN: 978–93–5311–592–0

    Google Scholar 

  7. Amit D, Buttyan L (2011) VeRA-version number and rank authentication in RPL. In: 8th international conference on mobile adhoc and sensor systems (MASS), IEEE, pp 709–714

    Google Scholar 

  8. Jianlin G, Han C, Orlik P, Zhang J, Ishibashi K (2012) Loop-free routing in low-power and lossy networks. In: SENSORCOMM 2012. The sixth international conference on sensor technologies and applications, pp 59–66

    Google Scholar 

  9. Anuj S, Mayzaud A, Badonnel R, Chrisment I, Schönwälder J (2014) Addressing DODAG inconsistency attacks in RPL networks. In: Global information infrastructure and networking symposium (GIIS), pp 1–8

    Google Scholar 

  10. Dar AR, Ravindran D (2019) Fog Computing: An efficient platform for the cloud resource management. J Emerg Technol Innov Res (JETIR) 6(2):7–12 ISSN: 2349–5162

    Google Scholar 

  11. Heiner P, Landsmann M, Ugus O, Schmidt TC, Wahlisch M (2013) TRAIL: Topology authentication in RPL

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to R. Stephen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Stephen, R., Donald, A.C., Vinoth Kumar, A.D., Shanthan, B.J.H., Arockiam, L. (2022). AROSTEV: A Unified Framework to Enhance Secure Routing in IoT Environment. In: Gao, XZ., Tiwari, S., Trivedi, M.C., Singh, P.K., Mishra, K.K. (eds) Advances in Computational Intelligence and Communication Technology. Lecture Notes in Networks and Systems, vol 399. Springer, Singapore. https://doi.org/10.1007/978-981-16-9756-2_25

Download citation

  • DOI: https://doi.org/10.1007/978-981-16-9756-2_25

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-9755-5

  • Online ISBN: 978-981-16-9756-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics