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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1109/i2ct45...
Article . 2019 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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Investigating Packet Dropping Attacks in RPL-DODAG in IoT

Authors: G. Geethakumari; Naman Goyal; Rashmi Sahay; Barsha Mitra;

Investigating Packet Dropping Attacks in RPL-DODAG in IoT

Abstract

The Internet of Things (IoT) facilitates communication among a huge number of uniquely identifiable heterogeneous devices and services without human intervention. To efficiently leverage the benefits of IoT, it is important that IoT applications are secured. IoT also employs large scale deployment of Low power and Lossy Networks (LLNs) comprising of sensors and RFIDs which are resource constrained. These resource constrained devices are connected to the untrustworthy Internet via IPv6 over Low power Wireless Personal Area Networks (6LOWPAN). RPL is the routing protocol used in 6LOWPAN networks which is susceptible to many security attacks. Packet dropping is one of the many RPL security attacks in which a malicious node drops data packets. In this paper, we investigate packet dropping attacks in IoT-LLN and compare their impact the normal scenario. We also present a detection mechanism to identify packet dropping nodes. The mechanism is implemented at the edge of the 6LOWPAN network and hence does not place any computational overhead on the constrained nodes.

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    7
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
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