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As a result of the potential privacy and security challenges in the distributed energy system, it is becoming a great problem to optimally schedule EVs\u2019 charging with different energy consumption patterns and perform reliable energy trading in the SC. In this paper, a blockchain\u2010based privacy\u2010preserving energy trading system for 5G\u2010deployed SC is proposed. The proposed system is divided into two components: EVs and residential prosumers. In this system, a reputation\u2010based distributed matching algorithm for EVs and a Reward\u2010based Starvation Free Energy Allocation Policy (RSFEAP) for residential homes are presented. A short\u2010term load forecasting model for EVs\u2019 charging using multiple linear regression is proposed to plan and manage the intermittent charging behavior of EVs. In the proposed system, identity\u2010based encryption and homomorphic encryption techniques are integrated to protect the privacy of transactions and users, respectively. The performance of the proposed system for EVs\u2019 component is evaluated using convergence duration, forecasting accuracy, and executional and transactional costs as performance metrics. For the residential prosumers\u2019 component, the performance is evaluated using reward index, type of transactions, energy contributed, average convergence time, and the number of iterations as performance metrics. The simulation results for EVs\u2019 charging forecasting gives an accuracy of 99.25%. For the EVs matching algorithm, the proposed privacy\u2010preserving algorithm converges faster than the bichromatic mutual nearest neighbor algorithm. For RSFEAP, the number of iterations for 50 prosumers is 8, which is smaller than the benchmark. Its convergence duration is also 10 times less than the benchmark scheme. Moreover, security and privacy analyses are presented. Finally, we carry out security vulnerability analysis of smart contracts to ensure that the proposed smart contracts are secure and bug\u2010free against the common vulnerabilities\u2019 attacks. The results show that the smart contracts are secure against both internal and external attacks.<\/jats:p>","DOI":"10.1155\/2022\/6953125","type":"journal-article","created":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T14:20:06Z","timestamp":1642429206000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["A Secure and Efficient Energy Trading Model Using Blockchain for a 5G\u2010Deployed Smart Community"],"prefix":"10.1155","volume":"2022","author":[{"given":"Adamu Sani","family":"Yahaya","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3777-8249","authenticated-orcid":false,"given":"Nadeem","family":"Javaid","sequence":"additional","affiliation":[]},{"given":"Sameeh","family":"Ullah","sequence":"additional","affiliation":[]},{"given":"Rabiya","family":"Khalid","sequence":"additional","affiliation":[]},{"given":"Muhammad Umar","family":"Javed","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3323-2732","authenticated-orcid":false,"given":"Rehan Ullah","family":"Khan","sequence":"additional","affiliation":[]},{"given":"Zahid","family":"Wadud","sequence":"additional","affiliation":[]},{"given":"Muhammad Asghar","family":"Khan","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2022,1,17]]},"reference":[{"key":"e_1_2_14_1_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2016.09.073"},{"key":"e_1_2_14_2_2","doi-asserted-by":"crossref","unstructured":"PouttuA. 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