Clustering and reliability-driven mitigation of routing attacks in massive IoT systems
Abstract As an integral component of the 5G communications, the massive Internet of Things (IoT) are vulnerable to various routing attacks due to their dynamic infrastructure, distinct computing resources, and heterogeneity of mobile objects. The sinkhole and selective forwarding attacks stand out a...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Brazilian Computing Society (SBC)
2019-09-01
|
Series: | Journal of Internet Services and Applications |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13174-019-0117-8 |
_version_ | 1818393075553140736 |
---|---|
author | Aldri L. Santos Christian A. V. Cervantes Michele Nogueira Burak Kantarci |
author_facet | Aldri L. Santos Christian A. V. Cervantes Michele Nogueira Burak Kantarci |
author_sort | Aldri L. Santos |
collection | DOAJ |
description | Abstract As an integral component of the 5G communications, the massive Internet of Things (IoT) are vulnerable to various routing attacks due to their dynamic infrastructure, distinct computing resources, and heterogeneity of mobile objects. The sinkhole and selective forwarding attacks stand out among the most destructive ones for infrastructureless networks. Despite the countermeasures introduced by legacy intrusion detection systems (IDS), the massive IoT seeks novel solutions to address their unique requirements. This paper introduces De T ection of Sink H ole A nd Selec T ive Forw A rding for Supporting Se C ure routing for Internet of T HI ngs (THATACHI), a new IDS against sinkhole and selective forwarding attacks that target routing mechanism in massive and mobile IoT networks. To cope with the density and mobility challenges in the detection of attackers and ensuring reliability, THATACHI exploits watchdog, reputation and trust strategies. Our performance evaluation under an urban scenario shows that THATACHI can perform with a 99% detection rate, 6% of false negative and false positive rates. Moreover, when compared to its closest predecessor against sinkhole attacks for IoT, THATACHI runs with at least 50% less energy consumption. |
first_indexed | 2024-12-14T05:39:33Z |
format | Article |
id | doaj.art-f57ab2ae20b14847ab628e465e061d26 |
institution | Directory Open Access Journal |
issn | 1867-4828 1869-0238 |
language | English |
last_indexed | 2024-12-14T05:39:33Z |
publishDate | 2019-09-01 |
publisher | Brazilian Computing Society (SBC) |
record_format | Article |
series | Journal of Internet Services and Applications |
spelling | doaj.art-f57ab2ae20b14847ab628e465e061d262022-12-21T23:15:03ZengBrazilian Computing Society (SBC)Journal of Internet Services and Applications1867-48281869-02382019-09-0110111710.1186/s13174-019-0117-8Clustering and reliability-driven mitigation of routing attacks in massive IoT systemsAldri L. Santos0Christian A. V. Cervantes1Michele Nogueira2Burak Kantarci3Department of Informatics, Federal University of ParanáDepartment of Informatics, Federal University of ParanáDepartment of Informatics, Federal University of ParanáSchool of Electrical Eng. and Computer Science, University of OttawaAbstract As an integral component of the 5G communications, the massive Internet of Things (IoT) are vulnerable to various routing attacks due to their dynamic infrastructure, distinct computing resources, and heterogeneity of mobile objects. The sinkhole and selective forwarding attacks stand out among the most destructive ones for infrastructureless networks. Despite the countermeasures introduced by legacy intrusion detection systems (IDS), the massive IoT seeks novel solutions to address their unique requirements. This paper introduces De T ection of Sink H ole A nd Selec T ive Forw A rding for Supporting Se C ure routing for Internet of T HI ngs (THATACHI), a new IDS against sinkhole and selective forwarding attacks that target routing mechanism in massive and mobile IoT networks. To cope with the density and mobility challenges in the detection of attackers and ensuring reliability, THATACHI exploits watchdog, reputation and trust strategies. Our performance evaluation under an urban scenario shows that THATACHI can perform with a 99% detection rate, 6% of false negative and false positive rates. Moreover, when compared to its closest predecessor against sinkhole attacks for IoT, THATACHI runs with at least 50% less energy consumption.http://link.springer.com/article/10.1186/s13174-019-0117-8Routing attacksIDSMassive IoT |
spellingShingle | Aldri L. Santos Christian A. V. Cervantes Michele Nogueira Burak Kantarci Clustering and reliability-driven mitigation of routing attacks in massive IoT systems Journal of Internet Services and Applications Routing attacks IDS Massive IoT |
title | Clustering and reliability-driven mitigation of routing attacks in massive IoT systems |
title_full | Clustering and reliability-driven mitigation of routing attacks in massive IoT systems |
title_fullStr | Clustering and reliability-driven mitigation of routing attacks in massive IoT systems |
title_full_unstemmed | Clustering and reliability-driven mitigation of routing attacks in massive IoT systems |
title_short | Clustering and reliability-driven mitigation of routing attacks in massive IoT systems |
title_sort | clustering and reliability driven mitigation of routing attacks in massive iot systems |
topic | Routing attacks IDS Massive IoT |
url | http://link.springer.com/article/10.1186/s13174-019-0117-8 |
work_keys_str_mv | AT aldrilsantos clusteringandreliabilitydrivenmitigationofroutingattacksinmassiveiotsystems AT christianavcervantes clusteringandreliabilitydrivenmitigationofroutingattacksinmassiveiotsystems AT michelenogueira clusteringandreliabilitydrivenmitigationofroutingattacksinmassiveiotsystems AT burakkantarci clusteringandreliabilitydrivenmitigationofroutingattacksinmassiveiotsystems |