View in EDS

Li-MSD: A lightweight mitigation solution for DAO insider attack in RPL-based IoT.

Saved in:
Bibliographic Details
Title: Li-MSD: A lightweight mitigation solution for DAO insider attack in RPL-based IoT.
Authors: Verma, Abhishek1,2 (AUTHOR) abhiverma866@gmail.com, Verma, Sachin Kumar1 (AUTHOR) 20mcs013@iiitdmj.ac.in, Pandey, Avinash Chandra1 (AUTHOR) avish.p@iiitdmj.ac.in, Grover, Jyoti3 (AUTHOR) jgrover.cse@mnit.ac.in, Sharma, Girish3,4 (AUTHOR) 2020rcp9012@mnit.ac.in
Source: Future Generation Computer Systems. Oct2024, Vol. 159, p327-339. 13p.
Subjects: Internet Engineering Task Force (Organization), Internet of things, Digital transformation, Network performance
Abstract: Many IoT applications run on a wireless infrastructure supported by resource-constrained nodes which is popularly known as Low-Power and Lossy Networks (LLNs). Currently, LLNs play a vital role in digital transformation of industries. The resource limitations of LLNs restrict the usage of traditional routing protocols and therefore require an energy-efficient routing solution. IETF's Routing Protocol for Low-power Lossy Networks (RPL, pronounced "ripple") is one of the most popular energy-efficient protocols for LLNs, specified in RFC 6550. In RPL, Destination Advertisement Object (DAO) control message is transmitted by a child node to pass on its reachability information to its immediate parent or root node. An attacker may exploit the insecure DAO sending mechanism of RPL to perform "DAO insider attack" by transmitting DAO multiple times. This paper shows that an aggressive DAO insider attacker can drastically degrade network performance. We propose a Li ghtweight M itigation S olution for D AO insider attack, which is termed as "Li-MSD". Li-MSD uses a blacklisting strategy to mitigate the attack and restore RPL performance, significantly. By using simulations, it is shown that Li-MSD outperforms the existing solution in the literature. • To address DAO insider attacks against RPL a solution named "Li-MSD" is proposed. • Impact of DAO insider attacks on static and mobile network scenarios is studied. • Performance of Li-MSD is compared with the existing solution, i.e., SecRPL. • It is shown that Li-MSD is a lightweight security solution based on memory footprint. [ABSTRACT FROM AUTHOR]
Copyright of Future Generation Computer Systems is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 177848563
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Li-MSD: A lightweight mitigation solution for DAO insider attack in RPL-based IoT.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Verma%2C+Abhishek%22">Verma, Abhishek</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> abhiverma866@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Verma%2C+Sachin+Kumar%22">Verma, Sachin Kumar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 20mcs013@iiitdmj.ac.in</i><br /><searchLink fieldCode="AR" term="%22Pandey%2C+Avinash+Chandra%22">Pandey, Avinash Chandra</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> avish.p@iiitdmj.ac.in</i><br /><searchLink fieldCode="AR" term="%22Grover%2C+Jyoti%22">Grover, Jyoti</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> jgrover.cse@mnit.ac.in</i><br /><searchLink fieldCode="AR" term="%22Sharma%2C+Girish%22">Sharma, Girish</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<i> 2020rcp9012@mnit.ac.in</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Future+Generation+Computer+Systems%22">Future Generation Computer Systems</searchLink>. Oct2024, Vol. 159, p327-339. 13p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Internet+Engineering+Task+Force+%28Organization%29%22">Internet Engineering Task Force (Organization)</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+of+things%22">Internet of things</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+transformation%22">Digital transformation</searchLink><br /><searchLink fieldCode="DE" term="%22Network+performance%22">Network performance</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Many IoT applications run on a wireless infrastructure supported by resource-constrained nodes which is popularly known as Low-Power and Lossy Networks (LLNs). Currently, LLNs play a vital role in digital transformation of industries. The resource limitations of LLNs restrict the usage of traditional routing protocols and therefore require an energy-efficient routing solution. IETF's Routing Protocol for Low-power Lossy Networks (RPL, pronounced "ripple") is one of the most popular energy-efficient protocols for LLNs, specified in RFC 6550. In RPL, Destination Advertisement Object (DAO) control message is transmitted by a child node to pass on its reachability information to its immediate parent or root node. An attacker may exploit the insecure DAO sending mechanism of RPL to perform "DAO insider attack" by transmitting DAO multiple times. This paper shows that an aggressive DAO insider attacker can drastically degrade network performance. We propose a Li ghtweight M itigation S olution for D AO insider attack, which is termed as "Li-MSD". Li-MSD uses a blacklisting strategy to mitigate the attack and restore RPL performance, significantly. By using simulations, it is shown that Li-MSD outperforms the existing solution in the literature. • To address DAO insider attacks against RPL a solution named "Li-MSD" is proposed. • Impact of DAO insider attacks on static and mobile network scenarios is studied. • Performance of Li-MSD is compared with the existing solution, i.e., SecRPL. • It is shown that Li-MSD is a lightweight security solution based on memory footprint. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Future Generation Computer Systems is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=177848563
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.future.2024.05.032
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 327
    Subjects:
      – SubjectFull: Internet Engineering Task Force (Organization)
        Type: general
      – SubjectFull: Internet of things
        Type: general
      – SubjectFull: Digital transformation
        Type: general
      – SubjectFull: Network performance
        Type: general
    Titles:
      – TitleFull: Li-MSD: A lightweight mitigation solution for DAO insider attack in RPL-based IoT.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Verma, Abhishek
      – PersonEntity:
          Name:
            NameFull: Verma, Sachin Kumar
      – PersonEntity:
          Name:
            NameFull: Pandey, Avinash Chandra
      – PersonEntity:
          Name:
            NameFull: Grover, Jyoti
      – PersonEntity:
          Name:
            NameFull: Sharma, Girish
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: Oct2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 0167739X
          Numbering:
            – Type: volume
              Value: 159
          Titles:
            – TitleFull: Future Generation Computer Systems
              Type: main
ResultId 1