Reputation based Routing in MANET using Blockchain

Careem, Maqsood Ahamed Abdul; Dutta, Aveek

doi:10.1109/comsnets48256.2020.9027450

Cited by 19 publications

(21 citation statements)

References 10 publications

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“…Security-by-contract and sensor fusion are applied in the sensor layer. Although data fusion can take place in any of the layers in the system, the sensor fusion approach is related to the perception layer, as the closer to the source the information is processed the less security risks exist [2,3,6,8,14,[22][23][24].…”

Section: Innovative Approaches In Its Cybersecuritymentioning

confidence: 99%

“…Another option for applying a blockchain is upper architecture layers as a secure data warehouse. Although some of the described examples present MANET networks, the simulation results can be considered to be applicable to VANET as a subtype of MANET [6,[22][23][24][25].…”

Section: Blockchainmentioning

confidence: 99%

“…The authors of Reference [22] introduce the concept of "shortest, most reputed path" using the Ad hoc On-Demand Distance Vector (AODV) routing protocol for MANETs. They create a simulation, using Matlab, dividing the network into subnets in each of which there are mining nodes that monitor of the other nodes and add transactions to the blockchain.…”

Section: Blockchainmentioning

confidence: 99%

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Cybersecurity in Intelligent Transportation Systems

Mecheva

Kakanakov

2020

Computers

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Intelligent Transportation Systems (ITS) are emerging field characterized by complex data model, dynamics and strict time requirements. Ensuring cybersecurity in ITS is a complex task on which the safety and efficiency of transportation depends. The imposition of standards for a comprehensive architecture, as well as specific security standards, is one of the key steps in the evolution of ITS. The article examines the general outlines of the ITS architecture and security issues. The main focus of security approaches is: configuration and initialization of the devices during manufacturing at perception layer; anonymous authentication of nodes in VANET at network layer; defense of fog-based structures at support layer and description and standardization of the complex model of data and metadata and defense of systems, based on AI at application layer. The article oversees some conventional methods as network segmentation and cryptography that should be adapted in order to be applied in ITS cybersecurity. The focus is on innovative approaches that have recently been trying to find their place in ITS security strategies. These approaches includes blockchain, bloom filter, fog computing, artificial intelligence, game theory and ontologies. In conclusion, a correlation is made between the commented methods, the problems they solve and the architectural layers in which they are applied.

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Section: Innovative Approaches In Its Cybersecuritymentioning

confidence: 99%

Section: Blockchainmentioning

confidence: 99%

Section: Blockchainmentioning

confidence: 99%

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Cybersecurity in Intelligent Transportation Systems

Mecheva

Kakanakov

2020

Computers

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“…A solution has been proposed by [16], based on the reputation information disseminated via a blockchain, using the shortest, most reputed path routing scheme called BC-AODV. The proposed approach uses the blockchain to establish creditability and reputation amongst nodes.…”

Section: Related Workmentioning

confidence: 99%

Comparison of AODV, DSR and OLSR Performance Under Black Hole Attack in Mobile Ad Hoc Networks

2020

SETWM-20, ACBES-20 &Amp; EEHSS-20 Nov. 16-17, 2020 Johannesburg (SA)

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Black Hole attacks manipulate MANET routing protocols by deceiving nodes sending data into believing that the malicious Black Hole node has the optimal route available for data transmission to the intended recipient node. The ability to implement the appropriate routing protocol is essential in minimising the impact Black Hole attacks have on MANETs. In this study, the AODV, DSR and OLSR protocols were simulated under no attack as well as under Black Hole attack scenarios to determine which of these protocols performs best. The results were analysed using the performance metrics of Throughput, End-to-End delay and PDR. The results of the simulations show that AODV is more vulnerable to Black Hole attacks than DSR or OLSR. Furthermore, the results show that the adverse effects of a Black Hole attack on Throughput, End-to-End delay and PDR were more significant in AODV as opposed to DSR, which had the best overall performance. Future work to analyse the effects that Black Hole attacks have on the performance of Mobile Ad-hoc Networks in terms of mean delay time, packet overhead and memory usage could also be conducted.

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“…Other sensing operations may be made more safe, autonomous, adaptable, and potentially lucrative by combining blockchain technology with other distributed systems, such as robotic swarm systems [24,25]. In [26] the authors use a small number of nodes in the network to authenticate routing by other nodes based on the dynamic mechanism of blockchain technology in mobile ad-hoc networks [27]. In [28] the authors propose a security structure using blockchain technology for unmanned aerial vehicle (UAV) networks [29].…”

Section: Introductionmentioning

confidence: 99%

A Framework of Deploying Blockchain in Wireless Sensor Networks

Nguyen

Tran

2022

EAI Endorsed Trans Ind Net Intel Syst

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The most critical needs for wireless sensor networks (WSNs) are security, privacy, dependability, and autonomy. The networks might be vulnerable to hostile users and harmful usage if these problems are not ensured. Attacks and hazards are higher with centralized WSNs, particularly when data is shared with other businesses and sent between devices. In this paper, a WSN model with integrated blockchain security technology is proposed. Blockchains store the identity of each node. The validation is done by public blockchains and private blockchains. For sensor nodes, the authentication is implemented on the private blockchain. The public blockchain is used to authenticate cluster heads. Performing network attacks can easily be performed by unregistered nodes to access resources in the network. Broadcasting false information on the path of malicious nodes can increase packet latency and reduce packet delivery rate. In this paper, the model recommends the most secure nodes in the network to be used for secure routing. The main purpose is to reduce the attack of hackers from outside the network, improve the efficiency of detecting malicious nodes.

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Reputation based Routing in MANET using Blockchain

Cited by 19 publications

References 10 publications

Cybersecurity in Intelligent Transportation Systems

Cybersecurity in Intelligent Transportation Systems

Comparison of AODV, DSR and OLSR Performance Under Black Hole Attack in Mobile Ad Hoc Networks

A Framework of Deploying Blockchain in Wireless Sensor Networks

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