{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T18:36:11Z","timestamp":1743100571151,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031733178"},{"type":"electronic","value":"9783031733185"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-73318-5_25","type":"book-chapter","created":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T12:54:33Z","timestamp":1735217673000},"page":"252-262","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Mechanical System Vulnerabilities: Advanced Fusion Machine Learning Model for Detecting Ethereum Attack Patterns in IIoT-5.0 Environments"],"prefix":"10.1007","author":[{"given":"Vishal N.","family":"Sulakhe","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8411-7630","authenticated-orcid":false,"given":"S. B.","family":"Goyal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amit","family":"Gadekar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manisha","family":"Wasnik","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pankaj","family":"Agarkar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anand Singh","family":"Rajawat","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,27]]},"reference":[{"key":"25_CR1","doi-asserted-by":"publisher","unstructured":"Creuzot G, Rojek I, Miko\u0142ajewski D, Sangho B (2023) AI in IIoT management of cybersecurity for industry 4.0 and industry 5.0 purposes. Electronics 12:3800 (2023). https:\/\/doi.org\/10.3390\/electronics12183800","DOI":"10.3390\/electronics12183800"},{"key":"25_CR2","doi-asserted-by":"publisher","first-page":"4641","DOI":"10.3390\/app12094641","volume":"12","author":"H Mrabet","year":"2022","unstructured":"Mrabet H, Alhomoud A, Jemai A, Trentesaux D (2022) A secured industrial internet-of-things architecture based on blockchain technology and machine learning for sensor access control systems in smart manufacturing. Appl Sci 12:4641","journal-title":"Appl Sci"},{"key":"25_CR3","doi-asserted-by":"crossref","unstructured":"Verma A (2022) Blockchain for industry 5.0: vision, opportunities, key enablers, and future directions. IEEE Access 10:69160\u201369199","DOI":"10.1109\/ACCESS.2022.3186892"},{"key":"25_CR4","doi-asserted-by":"crossref","unstructured":"Venkatasubramanian S, Raja S, Dwivedi JN, Sathiaparkavi J (2022) Fault diagnosis using data fusion with ensemble deep learning technique in IIoT. Math Probl Eng 2022","DOI":"10.1155\/2022\/1682874"},{"key":"25_CR5","doi-asserted-by":"crossref","unstructured":"Mudassir M, Unal D, Hammoudeh M, Azzedin F (2022) Detection of botnet attacks against industrial IoT systems by multilayer deep learning approaches. Wirel Commun Mob Comput 2022","DOI":"10.1155\/2022\/2845446"},{"key":"25_CR6","doi-asserted-by":"publisher","first-page":"104","DOI":"10.3389\/frobt.2020.00104","volume":"7","author":"O Vermesan","year":"2020","unstructured":"Vermesan O et al (2020) Internet of robotic things intelligent connectivity and platforms. Front Robot AI 7:104","journal-title":"Front Robot AI"},{"key":"25_CR7","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1007\/s44230-023-00017-3","volume":"3","author":"MM Hassan","year":"2023","unstructured":"Hassan MM, Hassan MM, Mollick S (2023) A comparative study, prediction and development of chronic kidney disease using machine learning on patients clinical records. Hum-Cent Intell Syst 3:92\u2013104","journal-title":"Hum-Cent Intell Syst"},{"issue":"3","key":"25_CR8","doi-asserted-by":"publisher","first-page":"4614","DOI":"10.1109\/JIOT.2018.2872458","volume":"6","author":"S Zhu","year":"2019","unstructured":"Zhu S, Li W, Li H, Tian L, Luo G, Cai Z (2019) Coin hopping attack in blockchain-based IoT. IEEE Internet Things J 6(3):4614\u20134626","journal-title":"IEEE Internet Things J"},{"key":"25_CR9","doi-asserted-by":"crossref","unstructured":"Sajjad SM, Yousaf MH, Mufti MR (2020) eMUD: Enhanced manufacturer usage description for iot botnets prevention on home wifi routers. IEEE Access 8:164200\u2013164213","DOI":"10.1109\/ACCESS.2020.3022272"},{"key":"25_CR10","doi-asserted-by":"publisher","first-page":"3592","DOI":"10.1109\/ACCESS.2020.3047413","volume":"9","author":"YE Oktian","year":"2021","unstructured":"Oktian YE, Lee SG (2021) BorderChain: blockchain-based access control framework for the Internet of Things endpoint. IEEE Access 9:3592\u20133615","journal-title":"IEEE Access"},{"issue":"12","key":"25_CR11","doi-asserted-by":"publisher","first-page":"10117","DOI":"10.1109\/JIOT.2021.3051433","volume":"8","author":"MH Chinaei","year":"2021","unstructured":"Chinaei MH, Gharakheili H, Sivaraman V (2021) Optimal witnessing of healthcare IoT data using blockchain logging contract. IEEE Internet Things J 8(12):10117\u201310130","journal-title":"IEEE Internet Things J"},{"key":"25_CR12","doi-asserted-by":"publisher","first-page":"132875","DOI":"10.1109\/ACCESS.2021.3115150","volume":"9","author":"M Debe","year":"2021","unstructured":"Debe M, Salah K, Jayaraman R, Yaqoob I, Arshad J (2021) Trustworthy blockchain gate-ways for resource-constrained clients and IoT devices. IEEE Access 9:132875\u2013132887","journal-title":"IEEE Access"},{"key":"25_CR13","doi-asserted-by":"crossref","unstructured":"Zhonghua C, Goyal SB, Rajawat AS (2023) Smart contracts attribute-based access control model for security & privacy of IoT system using blockchain and edge computing. J Super Comput","DOI":"10.1007\/s11227-023-05517-4"},{"key":"25_CR14","doi-asserted-by":"crossref","unstructured":"Barhanpurkar K (2023) Unveiling the post-covid economic impact using NLP techniques. In: 2023 15th international conference on electronics, computers and artificial intelligence (ECAI), pp 1\u201306","DOI":"10.1109\/ECAI58194.2023.10194111"},{"key":"25_CR15","doi-asserted-by":"crossref","unstructured":"Pant P (2023) Machine learning techniques for analysis of mars weather data. In: 2023 15th international conference on electronics, computers and artificial intelligence (ECAI), pp 1\u20137","DOI":"10.1109\/ECAI58194.2023.10194233"},{"key":"25_CR16","doi-asserted-by":"crossref","unstructured":"Rajawat AS (2023) Enhancing security and scalability of metaverse with blockchain-based consensus mechanisms. In: 2023 15th international conference on electronics, computers and artificial intelligence (ECAI), pp 1\u201306","DOI":"10.1109\/ECAI58194.2023.10194035"},{"key":"25_CR17","doi-asserted-by":"publisher","unstructured":"Hossain MS, Riaz MH (2022) Android malware detection system: a machine learning and deep learning based multilayered approach. In: Vasant P, Zelinka I, Weber GW (eds) Intelligent computing & optimization. ICO 2021. Lecture notes in networks and systems, vol 371. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-030-93247-3_28","DOI":"10.1007\/978-3-030-93247-3_28"},{"key":"25_CR18","doi-asserted-by":"publisher","unstructured":"Gadri S, Chabira S, Ould Mehieddine S, Herizi K (2022) Sentiment analysis: developing an efficient model based on machine learning and deep learning approaches. In: Vasant P, Zelinka I, Weber GW (eds) Intelligent computing & optimization. ICO 2021. Lecture notes in networks and systems, vol 371. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-030-93247-3_24","DOI":"10.1007\/978-3-030-93247-3_24"}],"container-title":["Lecture Notes in Networks and Systems","Intelligent Computing and Optimization"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-73318-5_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T13:05:01Z","timestamp":1735218301000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-73318-5_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031733178","9783031733185"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-73318-5_25","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"27 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing & Optimization","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Phnom Penh","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cambodia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 October 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ico2023a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.icico.info\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}