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Cited by 282

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

A survey: Attacks on RPL and 6LoWPAN in IoT

Pongle, Pavan, Chavan, Gurunath·2015·2015 International Conference on Pervasive Computing (ICPC)

Abstract

6LoWPAN (IPv6 over Low-Power Wireless Personal Area Networks) standard allows heavily constrained devices to connect to IPv6 networks. 6LoWPAN is novel IPv6 header compression protocol, it may go easily under attack. Internet of Things consist of devices which are limited in resource like battery powered, memory and processing capability etc. for this a new network layer routing protocol is designed called RPL (Routing Protocol for low power Lossy network). RPL is light weight protocol and doesn't have the functionality like of traditional routing protocols. This rank based routing protocol may goes under attack. Providing security in Internet of Things is challenging as the devices are connected to the unsecured Internet, limited resources, the communication links are lossy and set of novel technologies used such as RPL, 6LoWPAN etc. This paper focus on possible attacks on RPL and 6LoWPAN network, counter measure against them and consequences on network parameters. Along with comparative analysis of methods to mitigate these attacks are done and finally the research opportunities in network layer security are discussed.

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Metadata

Authors
Pongle, P., & Chavan, G.
Venue
2015 International Conference on Pervasive Computing (ICPC)
Publisher
IEEE
Published
2015-01
Pages
1-6
OpenAlex
W1968729698
Cited by
282
References
13
FWCI
14.98
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: A survey: Attacks on RPL and 6LoWPAN in IoT. https://app.cochat.ai/papers/10.1109/pervasive.2015.7087034
The paper
Pongle, P., & Chavan, G. (2015). A survey: Attacks on RPL and 6LoWPAN in IoT. 2015 International Conference on Pervasive Computing (ICPC). https://doi.org/10.1109/pervasive.2015.7087034

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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