Assessment of Objective Functions Under Mobility in RPL

Sanshi, Shridhar; Jaidhar, C. D.

doi:10.1007/978-981-10-8636-6_60

Cited by 2 publications

(4 citation statements)

References 16 publications

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“…Nodes present different transmission ranges varying in 20m, 30m and 40m. The parameter values follow the work in [22]. The employed routing protocolo is a modification of RPL [17].…”

Section: Discussionmentioning

confidence: 99%

“…After knowing the number of neighbors, nodes broadcast such information to their neighboring nodes (l. [10][11][12][13][14][15][16][17][18][19] to run the leader election. For that, the node with the largest number of neighbors is chosen as the leader node, and its category is changed to leader (l. [20][21][22]. Each node keeps a list of neighbors (ListNeig) based on the received control messages (l. [23][24][25][26][27].…”

Section: The Thatachi Idsmentioning

confidence: 99%

“…Whereas the procedure for detecting SF attack initially calculates the expected CPPT (l. [18][19][20]. Next, it determines the value of detection (threshold) and the acceptance rate (l. [21][22][23][24][25], which is conditioned for the detection of the attacking node.…”

Section: If the Message Is From An Associate The New Leader Only Estmentioning

confidence: 99%

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Clustering and reliability-driven mitigation of routing attacks in massive IoT systems

Santos

Cervantes

Nogueira

et al. 2019

J Internet Serv Appl

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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 DeTection of SinkHole And SelecTive ForwArding for Supporting SeCure routing for Internet of THIngs (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.

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“…Nodes present different transmission ranges varying in 20m, 30m and 40m. The parameter values follow the work in [22]. The employed routing protocolo is a modification of RPL [17].…”

Section: Discussionmentioning

confidence: 99%

Section: The Thatachi Idsmentioning

confidence: 99%

See 1 more Smart Citation

Clustering and reliability-driven mitigation of routing attacks in massive IoT systems

Santos

Cervantes

Nogueira

et al. 2019

J Internet Serv Appl

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show abstract

“…Although the experiments have shown an increase in network lifetime, this behavior can be affected by the network structure, and therefore the results might be restricted to specific scenarios. S a n s h i and J a i d h a r [28] consider nodes' mobility using Random Walk, Gauss-Markov, and Random Waypoint mobility models. However, they have not considered full network mobility; they have considered only half of the mobility of the nodes.…”

Section: Introductionmentioning

confidence: 99%

Data Fusion and the Impact of Group Mobility on Load Distribution on MRHOF and OF0

Al‐Qassas

Qasaimeh

2022

Cybernetics and Information Technologies

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Many routing algorithms proposed for IoT are based on modifications on RPL objective functions and trickle algorithms. However, there is a lack of an in-depth study to examine the impact of mobility on routing protocols based on MRHOF and OF0 algorithms. This paper examines the impact of group mobility on these algorithms, also examines their ability in distributing the load and the impact of varying traffic with the aid of simulations using the well-known Cooja simulator. The two algorithms exhibit similar performance for various metrics for low traffic rates and low mobility speed. However, when the traffic rate becomes relatively high, OF0 performance merits appear, in terms of throughput, packet load deviation, power deviation, and CPU power deviation. The mobility with higher speeds helps MRHOF to enhance its throughput and load deviation. The mobility allowed MRHOF to demonstrate better packets load deviation.

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Assessment of Objective Functions Under Mobility in RPL

Cited by 2 publications

References 16 publications

Clustering and reliability-driven mitigation of routing attacks in massive IoT systems

Clustering and reliability-driven mitigation of routing attacks in massive IoT systems

Data Fusion and the Impact of Group Mobility on Load Distribution on MRHOF and OF0

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