{"id":"https://openalex.org/W7168715086","doi":"https://doi.org/10.1007/s12083-026-02277-9","title":"Secure dual-consensus blockchain and adaptive deep learning framework for intelligent data transfer in industrial IoT environments","display_name":"Secure dual-consensus blockchain and adaptive deep learning framework for intelligent data transfer in industrial IoT environments","publication_year":2026,"publication_date":"2026-07-16","ids":{"openalex":"https://openalex.org/W7168715086","doi":"https://doi.org/10.1007/s12083-026-02277-9"},"language":"en","primary_location":{"id":"doi:10.1007/s12083-026-02277-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12083-026-02277-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12083-026-02277-9.pdf","source":{"id":"https://openalex.org/S177487720","display_name":"Peer-to-Peer Networking and Applications","issn_l":"1936-6442","issn":["1936-6442","1936-6450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Peer-to-Peer Networking and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s12083-026-02277-9.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050098742","display_name":"Alaa A. Qaffas","orcid":"https://orcid.org/0000-0002-0066-2333"},"institutions":[{"id":"https://openalex.org/I4210099699","display_name":"University of Jeddah","ror":"https://ror.org/015ya8798","country_code":"SA","type":"education","lineage":["https://openalex.org/I4210099699"]},{"id":"https://openalex.org/I4210165529","display_name":"University of Business and Technology","ror":"https://ror.org/05tcr1n44","country_code":"SA","type":"education","lineage":["https://openalex.org/I4210165529"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Alaa A. Qaffas","raw_affiliation_strings":["Department of Management Information Systems, College of Business, University of Jeddah, Jeddah, Makkah, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-0066-2333","affiliations":[{"raw_affiliation_string":"Department of Management Information Systems, College of Business, University of Jeddah, Jeddah, Makkah, Saudi Arabia","institution_ids":["https://openalex.org/I4210099699","https://openalex.org/I4210165529"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050098742"],"corresponding_institution_ids":["https://openalex.org/I4210099699","https://openalex.org/I4210165529"],"apc_list":{"value":3590,"currency":"USD","value_usd":3590},"apc_paid":{"value":3590,"currency":"USD","value_usd":3590},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.89253179,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.6194000244140625,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.6194000244140625,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.15960000455379486,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.03350000083446503,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6187000274658203},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5342000126838684},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5227000117301941},{"id":"https://openalex.org/keywords/byzantine-fault-tolerance","display_name":"Byzantine fault tolerance","score":0.4731000065803528},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.44290000200271606},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.42879998683929443},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.38940000534057617},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.37450000643730164},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.3499999940395355}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7616000175476074},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6187000274658203},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.536899983882904},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5342000126838684},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5227000117301941},{"id":"https://openalex.org/C168021876","wikidata":"https://www.wikidata.org/wiki/Q1353446","display_name":"Byzantine fault tolerance","level":3,"score":0.4731000065803528},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.44290000200271606},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.42879998683929443},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.38940000534057617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37869998812675476},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.37450000643730164},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.3499999940395355},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3499999940395355},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.32910001277923584},{"id":"https://openalex.org/C205383636","wikidata":"https://www.wikidata.org/wiki/Q14746","display_name":"Merkle tree","level":4,"score":0.32829999923706055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3199000060558319},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.3160000145435333},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.31060001254081726},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.3091999888420105},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.29409998655319214},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.2930000126361847},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.290800005197525},{"id":"https://openalex.org/C15845906","wikidata":"https://www.wikidata.org/wiki/Q1172338","display_name":"Data exchange","level":2,"score":0.2888000011444092},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.2524999976158142},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s12083-026-02277-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12083-026-02277-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12083-026-02277-9.pdf","source":{"id":"https://openalex.org/S177487720","display_name":"Peer-to-Peer Networking and Applications","issn_l":"1936-6442","issn":["1936-6442","1936-6450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Peer-to-Peer Networking and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s12083-026-02277-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12083-026-02277-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12083-026-02277-9.pdf","source":{"id":"https://openalex.org/S177487720","display_name":"Peer-to-Peer Networking and Applications","issn_l":"1936-6442","issn":["1936-6442","1936-6450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Peer-to-Peer Networking and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320329038","display_name":"University of Jeddah","ror":"https://ror.org/015ya8798"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7168715086.pdf","grobid_xml":"https://content.openalex.org/works/W7168715086.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W4285198637","https://openalex.org/W4285818425","https://openalex.org/W4312731257","https://openalex.org/W4315629820","https://openalex.org/W4378194966","https://openalex.org/W4383162803","https://openalex.org/W4384068208","https://openalex.org/W4386779266","https://openalex.org/W4386825138","https://openalex.org/W4389543497","https://openalex.org/W4391953359","https://openalex.org/W4392404055","https://openalex.org/W4399282624","https://openalex.org/W4400489768","https://openalex.org/W4401281094","https://openalex.org/W4401973347","https://openalex.org/W4402568867","https://openalex.org/W4402633387","https://openalex.org/W4404192465","https://openalex.org/W4404574851","https://openalex.org/W4405908344","https://openalex.org/W4406026431","https://openalex.org/W4407407874","https://openalex.org/W4409089716","https://openalex.org/W4409795996","https://openalex.org/W4410139175","https://openalex.org/W4411222164","https://openalex.org/W4412369082","https://openalex.org/W4413179456","https://openalex.org/W4413823278"],"related_works":[],"abstract_inverted_index":{"The":[0,85,163,219],"growing":[1],"interconnectivity":[2],"of":[3,21,95,125,198,202,207],"industrial":[4,29,255],"systems":[5],"has":[6],"intensified":[7],"the":[8,120,142,149],"need":[9],"for":[10,134,153,254,261],"secure,":[11],"intelligent,":[12],"and":[13,39,52,74,81,98,111,115,122,160,182,204,216,229,237,251,271],"scalable":[14,252],"data":[15,30,127,256],"transfer":[16,31],"mechanisms":[17,45],"within":[18],"Industrial":[19],"Internet":[20],"Things":[22],"(IIoT)":[23],"environments.":[24],"Despite":[25],"rapid":[26,155],"IIoT":[27,83,126,171,266],"adoption,":[28],"remains":[32],"vulnerable":[33],"to":[34,47,78,104,176],"high-volume,":[35],"dynamic":[36,121],"cyber":[37],"anomalies":[38],"consensus-level":[40],"attacks,":[41],"while":[42],"existing":[43],"security":[44,73],"struggle":[46],"jointly":[48],"deliver":[49],"low-latency,":[50],"scalable,":[51],"trustworthy":[53,80],"communication":[54],"under":[55,235],"large-scale":[56,238],"adversarial":[57,236],"deployments.":[58],"This":[59,245],"study":[60],"introduces":[61],"a":[62,88,129,188,248,259],"Secure":[63],"Dual-Consensus":[64],"Blockchain-Enabled":[65],"Deep":[66],"Learning":[67],"Framework":[68],"(SD-BDL)":[69],"that":[70],"unifies":[71],"blockchain":[72,222],"adaptive":[75],"anomaly":[76,136],"detection":[77,158,275],"ensure":[79],"efficient":[82],"communication.":[84],"framework":[86,166],"employs":[87],"hybrid":[89,220],"consensus":[90,221],"mechanism,":[91],"integrating":[92],"Delegated":[93],"Proof":[94],"Stake":[96],"(DPoS)":[97],"Practical":[99],"Byzantine":[100],"Fault":[101],"Tolerance":[102],"(PBFT)":[103],"achieve":[105],"enhanced":[106],"fault":[107],"tolerance,":[108],"reduced":[109],"latency,":[110],"protection":[112],"against":[113],"collusion":[114],"Sybil":[116],"attacks.":[117],"To":[118],"address":[119],"high-volume":[123],"nature":[124],"streams,":[128],"CNN\u2013LSTM":[130],"model":[131],"is":[132,167],"deployed":[133],"real-time":[135],"detection,":[137],"with":[138,210,264],"hyperparameters":[139],"optimized":[140],"using":[141,213],"Adaptive":[143],"Aquila":[144],"Optimization":[145],"(AAO)":[146],"algorithm\u2014identified":[147],"as":[148],"most":[150],"effective":[151],"technique":[152],"achieving":[154,194],"convergence,":[156],"high":[157],"accuracy,":[159],"balanced":[161],"exploration\u2013exploitation.":[162],"proposed":[164],"SD-BDL":[165],"evaluated":[168],"on":[169],"an":[170,195],"dataset,":[172],"incorporating":[173],"preprocessing":[174],"steps":[175],"mitigate":[177],"class":[178],"imbalance,":[179],"missing":[180],"values,":[181],"noise":[183],"interference.":[184],"Experimental":[185],"outcomes":[186],"demonstrate":[187],"significant":[189],"improvement":[190],"in":[191],"performance":[192],"metrics,":[193],"R\u00b2":[196],"score":[197],"0.985,":[199],"throughput":[200],"enhancement":[201],"25.2%,":[203],"latency":[205],"reduction":[206],"19.4%":[208],"compared":[209],"benchmark":[211],"models":[212],"PSO,":[214],"GA,":[215],"Bayesian":[217],"optimization.":[218],"further":[223],"ensures":[224],"transaction":[225],"integrity,":[226],"tamper":[227],"resistance,":[228],"low-energy":[230],"overhead,":[231],"validating":[232],"its":[233],"robustness":[234],"deployment":[239],"scenarios":[240],"involving":[241],"over":[242],"1,000":[243],"nodes.":[244],"research":[246],"contributes":[247],"novel,":[249],"energy-efficient,":[250],"architecture":[253],"protection,":[257],"setting":[258],"foundation":[260],"future":[262],"integration":[263],"6G-enabled":[265],"systems,":[267],"federated":[268],"trust":[269],"networks,":[270],"lightweight":[272],"transformer-based":[273],"threat":[274],"frameworks.":[276]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2026-07-17T00:00:00"}
