Work-in-Progress: Merkle Tree-Based Secure Routing for Digital Twin-Assisted Aircraft Network in 6G Wireless

Bilen, Tuğçe; Erel-Özçevik, Müge; Bozkaya, Elif; Özçevik, Yusuf

doi:10.1109/blackseacom58138.2023.10299746

Cited by 1 publication

(1 citation statement)

References 22 publications

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“…The blockchain manager in the edge server stores the user device information and adds the transaction in blocks and it is responsible to create a smart contract between the edge server and users [26]. A smart contract is designed to execute a blockchain process, which stores the caching transaction in a local database.…”

Section: A Blockchain Managermentioning

confidence: 99%

Blockchain-Based Secure Content Caching and Computation for Edge Computing

Bozkaya-Aras

2024

IEEE Access

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The current explosion in user traffic necessitates the placement of edge servers in proximity to the Internet of Things (IoT) devices, allowing computation tasks to be offloaded to edge servers. This strategy aims to minimize the average delay of traffic requests by enabling user/IoT devices to locally execute timesensitive tasks or offload them to edge servers within the mobile edge computing (MEC) paradigm. This new paradigm will also allow to cache contents at edge servers, but considering such an increasing number of user requests and limited storage capability of edge servers, selection in edge caching decisions is challenging. In addition, while there is general consensus that this technology may provide a variety of benefits, there are serious questions about its security implications. This is because malicious users can manipulate the caching decisions of the edge servers by sending fake traffic requests, which reduces the caching efficiency of the resource-constrained edge servers. Driven by these issues, in this paper, we propose a blockchain-based content caching and computation strategy to validate the authenticity of cached content and thus prevent unauthorized requests from malicious users. Specifically, the Proof of Stake (PoS) consensus mechanism is presented to handle low computational work, validate the process of blocks, and manage the transactions between edge servers and legitimate users. Then, a Deep Q Network (DQN)-based solution is proposed to intelligently develop an effective content caching and computation strategy. According to performance evaluation, the proposed model significantly outperforms the conventional methods. It improves the cache hit rate by up to 8.2% on average and reduces the response delay by up to 7.45% on average.

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Section: A Blockchain Managermentioning

confidence: 99%

Blockchain-Based Secure Content Caching and Computation for Edge Computing

Bozkaya-Aras

2024

IEEE Access

View full text Add to dashboard Cite

show abstract

Work-in-Progress: Merkle Tree-Based Secure Routing for Digital Twin-Assisted Aircraft Network in 6G Wireless

Cited by 1 publication

References 22 publications

Blockchain-Based Secure Content Caching and Computation for Edge Computing

Blockchain-Based Secure Content Caching and Computation for Edge Computing

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