{"id":"https://openalex.org/W7204181523","doi":"https://doi.org/10.1145/3817395.3817427","title":"A Blockchain-Based Method for Trusted Storage and Intelligent Analysis of Ideological and Political Education Training Data","display_name":"A Blockchain-Based Method for Trusted Storage and Intelligent Analysis of Ideological and Political Education Training Data","publication_year":2026,"publication_date":"2026-03-20","ids":{"openalex":"https://openalex.org/W7204181523","doi":"https://doi.org/10.1145/3817395.3817427"},"language":"en","primary_location":{"id":"doi:10.1145/3817395.3817427","doi":"https://doi.org/10.1145/3817395.3817427","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3817395.3817427","pdf_url":null,"source":{"id":"https://openalex.org/S7407115342","display_name":"International Conference on Big Data and Intelligent Manufacturing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 International Conference on Big Data and Intelligent Manufacturing","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3817395.3817427","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5148062291","display_name":"Xin Liu","orcid":"https://orcid.org/0009-0008-5114-0384","observed_orcids":["https://orcid.org/0009-0008-5114-0384"]},"institutions":[{"id":"https://openalex.org/I4405282060","display_name":"Shandong University of Engineering and Vocational Technology","ror":"https://ror.org/058z5q095","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405282060"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Liu","raw_affiliation_strings":["Shandong University of Engineering and Vocational Technology, Jinan, Shandong, China"],"raw_orcid":"https://orcid.org/0009-0008-5114-0384","affiliations":[{"raw_affiliation_string":"Shandong University of Engineering and Vocational Technology, Jinan, Shandong, China","institution_ids":["https://openalex.org/I4405282060"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5148062291"],"corresponding_institution_ids":["https://openalex.org/I4405282060"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"213","last_page":"218"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13913","display_name":"Blockchain Technology in Education and Learning","score":0.5609999895095825,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13913","display_name":"Blockchain Technology in Education and Learning","score":0.5609999895095825,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.41670000553131104,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13161","display_name":"Ideological and Political Education","score":0.014700000174343586,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/blockchain","display_name":"blockchain","score":0.8029999732971191},{"id":"https://openalex.org/keywords/consortium-blockchain","display_name":"consortium blockchain","score":0.9129999876022339},{"id":"https://openalex.org/keywords/ideological-and-political-education","display_name":"ideological and political education","score":0.9290000200271606},{"id":"https://openalex.org/keywords/training-data","display_name":"training data","score":0.7689999938011169},{"id":"https://openalex.org/keywords/consensus-algorithms","display_name":"consensus algorithms","score":0.7570000290870667},{"id":"https://openalex.org/keywords/practical-byzantine-fault-tolerance","display_name":"PBFT","score":0.7850000262260437},{"id":"https://openalex.org/keywords/lightweight-consensus","display_name":"lightweight consensus","score":0.7390000224113464},{"id":"https://openalex.org/keywords/temporal-classification","display_name":"temporal classification","score":0.46399998664855957},{"id":"https://openalex.org/keywords/attention-mechanism","display_name":"attention mechanism","score":0.8299999833106995},{"id":"https://openalex.org/keywords/multi-source-feature-fusion","display_name":"multi-source feature fusion","score":0.8859999775886536},{"id":"https://openalex.org/keywords/data-tamper-detection","display_name":"data tamper detection","score":0.7070000171661377},{"id":"https://openalex.org/keywords/educational-data-management","display_name":"educational data management","score":0.5479999780654907}],"concepts":[{"id":"https://openalex.org/C158071213","wikidata":"https://www.wikidata.org/wiki/Q7257","display_name":"Ideology","level":3,"score":0.6317999958992004},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6212000250816345},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4977000057697296},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.450300008058548},{"id":"https://openalex.org/C2779308522","wikidata":"https://www.wikidata.org/wiki/Q843958","display_name":"Digitization","level":2,"score":0.4375},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4277999997138977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42149999737739563},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.3702999949455261},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.3605000078678131},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.35670000314712524},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3418999910354614},{"id":"https://openalex.org/C24885549","wikidata":"https://www.wikidata.org/wiki/Q339678","display_name":"Distributed data store","level":2,"score":0.33970001339912415},{"id":"https://openalex.org/C2992506053","wikidata":"https://www.wikidata.org/wiki/Q7225195","display_name":"Political education","level":4,"score":0.33340001106262207},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3312999904155731},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.3253999948501587},{"id":"https://openalex.org/C2778674798","wikidata":"https://www.wikidata.org/wiki/Q632897","display_name":"Digital preservation","level":2,"score":0.31349998712539673},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.3091000020503998},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.29600000381469727},{"id":"https://openalex.org/C2779201187","wikidata":"https://www.wikidata.org/wiki/Q2775060","display_name":"Information leakage","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C156884757","wikidata":"https://www.wikidata.org/wiki/Q798554","display_name":"Backtracking","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.275299996137619},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C10511746","wikidata":"https://www.wikidata.org/wiki/Q899388","display_name":"Data security","level":3,"score":0.2727999985218048},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C118463975","wikidata":"https://www.wikidata.org/wiki/Q220849","display_name":"Digital signature","level":3,"score":0.27059999108314514},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2655999958515167},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2653999924659729},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.2635999917984009},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.26010000705718994}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3817395.3817427","doi":"https://doi.org/10.1145/3817395.3817427","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3817395.3817427","pdf_url":null,"source":{"id":"https://openalex.org/S7407115342","display_name":"International Conference on Big Data and Intelligent Manufacturing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 International Conference on Big Data and Intelligent Manufacturing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3817395.3817427","doi":"https://doi.org/10.1145/3817395.3817427","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3817395.3817427","pdf_url":null,"source":{"id":"https://openalex.org/S7407115342","display_name":"International Conference on Big Data and Intelligent Manufacturing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 International Conference on Big Data and Intelligent Manufacturing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality education","score":0.5385000109672546}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W3124641143","https://openalex.org/W3201908280","https://openalex.org/W3213059169","https://openalex.org/W4214856340","https://openalex.org/W4294811211","https://openalex.org/W4308329102","https://openalex.org/W4319439230","https://openalex.org/W4319996447","https://openalex.org/W4361799143","https://openalex.org/W4381280250","https://openalex.org/W4383532616","https://openalex.org/W4385780790","https://openalex.org/W4387102280","https://openalex.org/W7119477352"],"related_works":["https://openalex.org/W7204894081","https://openalex.org/W4391239919","https://openalex.org/W4403997218","https://openalex.org/W7216324271","https://openalex.org/W4393110810","https://openalex.org/W4327730513","https://openalex.org/W3160729678","https://openalex.org/W4413376649","https://openalex.org/W4409613556","https://openalex.org/W3187930828"],"abstract_inverted_index":{"Addressing":[0],"the":[1,36,57,75,150,179,224,235],"core":[2,236],"needs":[3],"of":[4,10,44,63,104,139,198,226,238,241,248],"trusted":[5,28],"storage":[6,29,175],"and":[7,12,41,61,70,93,120,131,141,168,193,200,207,229,245,250,253,258],"intelligent":[8],"analysis":[9,102,247],"ideological":[11,92,119,140,192,249],"political":[13,94,121,142,194,251],"education":[14],"training":[15,45,243],"data,":[16],"this":[17],"paper":[18],"proposes":[19],"an":[20,86,100],"integrated":[21],"blockchain-based":[22],"solution.":[23],"A":[24,47],"three-layer":[25],"consortium":[26],"blockchain":[27],"model":[30],"is":[31,53,79,97,144],"constructed":[32],"to":[33,35,55,83,178,205],"adapt":[34],"multi-source":[37,109,126],"heterogeneity,":[38],"temporal":[39,88,116,134],"sequence,":[40],"large-scale":[42],"characteristics":[43],"data.":[46],"lightweight":[48,132],"layered":[49],"consensus":[50,76],"mechanism":[51],"(LHC)":[52],"designed":[54],"optimize":[56],"high":[58],"communication":[59,77],"overhead":[60],"latency":[62,176],"traditional":[64,180],"PBFT":[65],"consensus.":[66],"Through":[67],"node":[68],"layering":[69],"a":[71,155,162,169,186],"three-stage":[72],"simplified":[73],"process,":[74],"complexity":[78,215],"reduced":[80],"from":[81],"O(n\u00b2)":[82],"O(n).":[84],"Simultaneously,":[85],"attention-driven":[87],"mining":[89],"algorithm":[90,184],"for":[91,223],"elements":[95,143],"(AIPEM)":[96],"designed,":[98],"constructing":[99],"end-to-end":[101],"framework":[103],"\u201ctrusted":[105],"data":[106,157,231,244],"input":[107],"-":[108,112,115,118],"feature":[110,127],"fusion":[111],"attention":[113],"weighting":[114],"classification":[117],"element":[122],"mapping.\u201d":[123],"Relying":[124],"on":[125],"fusion,":[128],"self-attention":[129],"weighting,":[130],"Transformer":[133],"classification,":[135],"accurate":[136,246],"quantitative":[137],"evaluation":[138],"achieved.":[145],"Experimental":[146],"results":[147],"show":[148],"that":[149],"LHC":[151],"mechanism,":[152],"while":[153,211],"maintaining":[154],"100%":[156],"tampering":[158],"detection":[159],"rate,":[160],"achieves":[161,185],"45.1%":[163],"increase":[164],"in":[165,172,190],"peak":[166],"throughput":[167],"44.8%":[170],"reduction":[171],"average":[173],"evidence":[174],"compared":[177,204],"PBFT.":[181],"The":[182],"AIPEM":[183],"92.3%":[187],"accuracy":[188],"rate":[189],"classifying":[191],"elements,":[195,252],"representing":[196],"improvements":[197],"8.1":[199],"5.6":[201],"percentage":[202],"points":[203],"RNN":[206],"CNN":[208],"models,":[209],"respectively,":[210],"reducing":[212],"overall":[213],"computational":[214],"by":[216],"42%.":[217],"This":[218],"research":[219],"provides":[220],"technical":[221],"support":[222],"intersection":[225],"educational":[227],"digitization":[228],"industrial":[230],"management,":[232],"effectively":[233],"solving":[234],"challenges":[237],"reliable":[239],"management":[240],"practical":[242],"possesses":[254],"significant":[255],"engineering":[256],"application":[257],"promotion":[259],"value.":[260]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-08-26T00:00:00"}