An improved AODV routing security algorithm based on blockchain technology in ad hoc network

Ran, Conglin; Yan, Shuailing; Liang, Huang; Zhang, Lei

doi:10.1186/s13638-021-01938-y

Cited by 25 publications

(25 citation statements)

References 28 publications

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“…At present, blockchain was also reported to be used for resisting threats in MANET concerning its malicious behavior, as reported in the work of Ran et al [20]. The researcher has used the AODV protocol, where blockchain is used for network development considering constraints.…”

Section: Existing Techniquesmentioning

confidence: 97%

Securing Dynamic Source Routing by Neighborhood Monitoring in Wireless Adhoc Network

C¹,

P²

2022

IJACSA

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Wireless Adhoc Network (WANET) significantly contributes to cost-effective network formulation due to decentralized and infrastructure-less schemes. One of the primary forms of WANET in Mobile Adhoc Network (MANET) is still evolving in research and a continued set of research problems associated with security. A review of existing security approaches shows that identifying malicious behavior in MANET is still an open-end problem irrespective of various methods. This paper introduces an improved DSR protocol mechanism of neighborhood monitoring scheme towards analyzing the malicious behavior in the presence of an unknown attacker of dynamic type. The proposed method contributes to deploying auxiliary relay nodes and retaliation nodes to control the communication process and prevent the attacker from joining the network. Using analytical research methodology, the proposed system can offer better communication performance with effective resistance from threats in MANET.

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Section: Existing Techniquesmentioning

confidence: 97%

Securing Dynamic Source Routing by Neighborhood Monitoring in Wireless Adhoc Network

C¹,

P²

2022

IJACSA

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“…To be more effective, it must have a greater number of assaults. Based on blockchain, an improved version of the conventional AODV (ad hoc on-demand distance vector) protocol (AODV-MQS) is proposed by Ranno, et al [16]. The first step is to set up a chain of nodes in the network and store the state of all the nodes in the chain, beginning with the intermediate nodes.…”

Section: Related Workmentioning

confidence: 99%

An Improved Hybrid Secure Multipath Routing Protocol for MANET

Veeraiah²,

et al. 2021

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Mobile ad hoc networks (MANETs) are self-organizing nodes in a mobile network that collaborate to form dynamic network architecture to establish connections. In MANET, data must traverse several intermediary nodes before reaching its destination. There must be security in place to prevent hostile nodes from accessing this data. Multiple methods were suggested in literature for securing routing; these techniques tackle different aspects of security. In order to enhance fault tolerance, wireless network multipath routing is typically used instead of the original single path routing. The routing protocol Genetic Algorithm with Hill climbing (GAHC) described in this article shows a hybrid GA-Hill Climbing algorithm that picks the optimal route in multipath. Prior to this in the beginning, the Improved fuzzy C-means algorithm method was built on density peak, and cluster heads (CHs) were chosen in a predicted manner, based on recent, indirect, and direct trust. The computation is based worth nodes are at the trust threshold found in addition. Even CHs take part in the alternate paths, the blend of all the many paths from these Cluster Heads that chooses the optimal route, which is based on the predicted hybrid protocol, as well as the optimum route's aggregate features such as throughput, latency, and connection. This suggested technique requires a minimum amount of energy of 0.10 m joules and a small amount of delay time of 0.004 msec, which also yields a maximum throughput of 0.85 bits per second, a maximum detection rate of 91 percent and maximum packet delivery ratio of 89percent . The suggested approach was put through the paces with the selective packet dropping attack INDEX TERMS MANET, Genetic Algorithm (GA), Cluster heads (CHs), Hill climbing (HC), Selective packet dropping attack.

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“…Privacy-preserving distributed algorithm 33 was possible on practical IoT system and provides high efficiency and reduces the overall cost by 25%, but it has high computational complexity. AODV-MQS 34 provides routing security but sometimes the process will be due to data transmission. DRL 35 achieves high security and 36 Provides data integrity but the transaction process rate was poor.…”

Section: Research Gaps and Challengesmentioning

confidence: 99%

“…Ran et al 34 proposed Ad Hoc on demand distance vector multipath QoS (AODV‐MQS) routing security on the basis of the blockchain. Initially, the node chains were developed in the network and their states were saved.…”

Section: Related Workmentioning

confidence: 99%

Enabling machine learning‐based side‐chaining for improving QoS in blockchain‐powered IoT networks

Vairagade

Brahmananda

2021

Trans Emerging Tel Tech

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Problem The Internet of Things (IoT) makes developers for integrating various collection of device, saving, and processing a huge amount of data, allowing new services for improving several personal and professional activities. But, the privacy problems occur with a large amount of data produced and therefore the solutions on the basis of blockchain with sidechain technology have been developed to overcome these problems. Aim Blockchain powered IoT networks have high security levels, and are resilient to most network attacks. In order to deploy blockchains, a large set of hashing, encryption, and linking algorithms are implemented in the network. One of the recent developments is the sidechains and these sidechains reduce computational complexity during block creation, and thereby reduce the effect of high delay and high‐power consumption in the IoT network. But maintaining these sidechains requires an additional computational component, which adds to the computational complexity of the underlying system. To reduce the complexity of this maintenance while keeping the inherent advantages of side chaining networks, this article proposes a sidechain creation, updation, merging, and scanning processes. Methods In this article, the sidechain creation is done by modified two‐way peg protocol and updated by hybrid delegated practical byzantine fault tolerance‐delegated proof of stake (DPBFT‐DPOS), merging via continuous network information analysis and scanning via graph‐based searching mechanism to improve the Quality of Service (QoS) network and security. Results The proposed methodology achieves an accuracy and F1‐score of about 98.6% and 99.5%, reduces end‐to‐end communication delay by 10% while increasing the energy efficiency by 15%, and improving the throughput by 15% when compared to other existing methods. Conclusion The IoT provides the possibility of creating real time data and the combination of the IoT with blockchain moves beyond authorization and financial recording. Then the utilization of sidechain provide better communication among devices and better sophistication of the data processing.

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An improved AODV routing security algorithm based on blockchain technology in ad hoc network

Cited by 25 publications

References 28 publications

Securing Dynamic Source Routing by Neighborhood Monitoring in Wireless Adhoc Network

Securing Dynamic Source Routing by Neighborhood Monitoring in Wireless Adhoc Network

An Improved Hybrid Secure Multipath Routing Protocol for MANET

Enabling machine learning‐based side‐chaining for improving QoS in blockchain‐powered IoT networks

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