A novel secure DV-Hop localization algorithm against wormhole attacks

Dezhi Han (), Mengxiao Liu (), Tien-Hsiung Weng (), Canren Tang (), Mario Donato Marino () and Kuan-Ching Li ()
Additional contact information
Dezhi Han: Shanghai Maritime University
Mengxiao Liu: Shanghai Maritime University
Tien-Hsiung Weng: Providence University
Canren Tang: Shanghai Maritime University
Mario Donato Marino: Leeds Beckett University
Kuan-Ching Li: Providence University

Telecommunication Systems: Modelling, Analysis, Design and Management, 2022, vol. 80, issue 3, No 8, 413-430

Abstract: Abstract IoT era and its ubiquitous sensing raise serious security challenges such as wormhole attacks. Given that these attacks may affect the location determination of the employed sensors, security can be seriously compromised. The most common and severe attack is the single wormhole one, which is the focus of this paper. One of the most employed algorithms to approach the sensor location determination is the Distance Vector Hop (DV-Hop) algorithm, which can still be seriously affected from wormhole attacks. To overcome the challenges of this algorithm, this article proposes a novel secure DV-Hop localization algorithm against wormhole attack (ANDV-Hop), where beacon nodes delegate their attacked neighboring nodes to broadcast data messages, and the intersection of communication range of these neighboring nodes does include wormhole nodes. For implicit attacks, close nodes to the wormhole node are selected in order to broadcast data messages, whilst the nodes within the attack range remove beacon nodes at the other end of the link from the neighboring list. For explicit wormhole attack, the algorithm employs a trust model that calculates the comprehensive trust value obtained via a selection reward/punish coefficient. The selected ones within the intersection zone are considered rewarded, whilst the ones to be removed are classified as punished. Experimental results show that the proposed algorithm improves detection success rate, reduces relative localization error and energy loss, showing effectiveness and reliability.

Keywords: Wireless sensor networks; Explicit wormhole attack; Implicit wormhole attack; ANDV-Hop; Trust model (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11235-022-00914-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:telsys:v:80:y:2022:i:3:d:10.1007_s11235-022-00914-1

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/11235

DOI: 10.1007/s11235-022-00914-1

Access Statistics for this article

Telecommunication Systems: Modelling, Analysis, Design and Management is currently edited by Muhammad Khan

More articles in Telecommunication Systems: Modelling, Analysis, Design and Management from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().