Analysis of Blackhole Attack in RPL-based 6LoWPAN Network: A Case Study

Rajasekar, V.R; Rajkumar, S.

doi:10.1109/icecs53924.2021.9665623

Cited by 4 publications

(1 citation statement)

References 9 publications

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“…PDAs can be classified into two categories: (i) black-hole and (ii) grey-hole attacks. In black-hole attacks, a malicious node drops all received packets from neighbouring nodes, i.e., control packets and data packets [18][19][20]; meanwhile, in grey-hole attacks, a malicious node selectively drops certain packets and forwards others [21]. One specific form of a grey-hole attack is the Selective Forwarding Attack (SFA), in which a malicious node selectively chooses which packets to discard and when to do so [22].…”

Section: Characteristics Of Low-power and Lossy Network (Llns)mentioning

confidence: 99%

A Survey on Routing Solutions for Low-Power and Lossy Networks: Toward a Reliable Path-Finding Approach

Almutairi,

Zhang

2024

Network

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Low-Power and Lossy Networks (LLNs) have grown rapidly in recent years owing to the increased adoption of Internet of Things (IoT) and Machine-to-Machine (M2M) applications across various industries, including smart homes, industrial automation, healthcare, and smart cities. Owing to the characteristics of LLNs, such as Lossy channels and limited power, generic routing solutions designed for non-LLNs may not be adequate in terms of delivery reliability and routing efficiency. Consequently, a routing protocol for LLNs (RPL) was designed. Several RPL objective functions have been proposed to enhance the routing reliability in LLNs. This paper analyses these solutions against performance and security requirements to identify their limitations. Firstly, it discusses the characteristics and security issues of LLN and their impact on packet delivery reliability and routing efficiency. Secondly, it provides a comprehensive analysis of routing solutions and identifies existing limitations. Thirdly, based on these limitations, this paper highlights the need for a reliable and efficient path-finding solution for LLNs.

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