{"id":"https://openalex.org/W4406459427","doi":"https://doi.org/10.1109/bigdata62323.2024.10825772","title":"Cyber Threat Intelligence in Smart Cities: Bayesian Inference and Energy Optimization in LoRa Networks for Big Data Applications","display_name":"Cyber Threat Intelligence in Smart Cities: Bayesian Inference and Energy Optimization in LoRa Networks for Big Data Applications","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406459427","doi":"https://doi.org/10.1109/bigdata62323.2024.10825772"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010990835","display_name":"Aristeidis Karras","orcid":"https://orcid.org/0000-0002-4632-6511"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Aristeidis Karras","raw_affiliation_strings":["University of Patras,Computer Engineering and Informatics Department,Patras,Greece"],"affiliations":[{"raw_affiliation_string":"University of Patras,Computer Engineering and Informatics Department,Patras,Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019293826","display_name":"Leonidas Theodorakopoulos","orcid":"https://orcid.org/0000-0002-0891-6780"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Leonidas Theodorakopoulos","raw_affiliation_strings":["University of Patras,Department of Management Science and Technology,Patras,Greece"],"affiliations":[{"raw_affiliation_string":"University of Patras,Department of Management Science and Technology,Patras,Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012988436","display_name":"Christos Karras","orcid":"https://orcid.org/0000-0002-4253-7661"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Christos Karras","raw_affiliation_strings":["University of Patras,Computer Engineering and Informatics Department,Patras,Greece"],"affiliations":[{"raw_affiliation_string":"University of Patras,Computer Engineering and Informatics Department,Patras,Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019386952","display_name":"Hera Antonopoulou","orcid":"https://orcid.org/0000-0002-3936-435X"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Hera Antonopoulou","raw_affiliation_strings":["University of Patras,Department of Management Science and Technology,Patras,Greece"],"affiliations":[{"raw_affiliation_string":"University of Patras,Department of Management Science and Technology,Patras,Greece","institution_ids":["https://openalex.org/I174878644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010990835"],"corresponding_institution_ids":["https://openalex.org/I174878644"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24202201,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2635","last_page":"2644"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12079","display_name":"IoT Networks and Protocols","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12079","display_name":"IoT Networks and Protocols","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.995199978351593,"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"}},{"id":"https://openalex.org/T13038","display_name":"Internet of Things and AI","score":0.9828000068664551,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7534275054931641},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7336909770965576},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6730204224586487},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5426682829856873},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5060705542564392},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4554885923862457},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4219430088996887},{"id":"https://openalex.org/keywords/smart-city","display_name":"Smart city","score":0.4207281172275543},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4179413318634033},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4157295227050781},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3688005805015564},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.30533289909362793},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.2782037854194641}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7534275054931641},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7336909770965576},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6730204224586487},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5426682829856873},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5060705542564392},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4554885923862457},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4219430088996887},{"id":"https://openalex.org/C2777103469","wikidata":"https://www.wikidata.org/wiki/Q1231558","display_name":"Smart city","level":3,"score":0.4207281172275543},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4179413318634033},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4157295227050781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3688005805015564},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30533289909362793},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.2782037854194641},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W133446181","https://openalex.org/W1971441363","https://openalex.org/W2036901872","https://openalex.org/W2238723005","https://openalex.org/W2465926905","https://openalex.org/W2499400668","https://openalex.org/W2733031413","https://openalex.org/W2748031477","https://openalex.org/W2751555908","https://openalex.org/W2769937543","https://openalex.org/W2781583119","https://openalex.org/W2790230453","https://openalex.org/W2944896238","https://openalex.org/W2973188706","https://openalex.org/W3094198579","https://openalex.org/W3132714944","https://openalex.org/W3212971357","https://openalex.org/W4308087291","https://openalex.org/W4321446323","https://openalex.org/W4399618796","https://openalex.org/W4400310918","https://openalex.org/W6790969697","https://openalex.org/W6797690131"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4405901645","https://openalex.org/W4394895745","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W2915637974"],"abstract_inverted_index":{"In":[0],"the":[1,108,159],"evolving":[2],"landscape":[3],"of":[4,15,111,161],"smart":[5,93,169],"cities,":[6],"optimizing":[7],"energy":[8,41,60,147],"consumption":[9,61,91],"and":[10,30,40,69,85,118,149,164],"enhancing":[11,132],"cybersecurity":[12],"in":[13,43,145],"Internet":[14],"Things":[16],"(IoT)":[17],"networks":[18,55,167],"are":[19],"crucial.":[20],"This":[21],"study":[22,154],"leverages":[23],"LoRa":[24,54,100],"(Long":[25],"Range)":[26],"technology,":[27],"Bayesian":[28,66,73],"Inference,":[29,74],"Extreme":[31],"Learning":[32],"Machines":[33],"(ELMs)":[34],"to":[35,81,107,127],"advance":[36],"cyber":[37,130],"threat":[38,150],"intelligence":[39],"efficiency":[42],"large-scale":[44],"IoT":[45,112,166],"deployments.":[46],"The":[47,96],"proposed":[48],"algorithms":[49,139],"address":[50],"key":[51],"challenges":[52],"within":[53],"by":[56,103],"implementing":[57],"a":[58],"novel":[59],"model,":[62],"kernel-based":[63],"ELM":[64],"fine-tuning,":[65],"parameter":[67],"tuning,":[68],"data":[70,123],"fusion.":[71],"Through":[72],"our":[75,115],"approach":[76],"dynamically":[77],"adjusts":[78],"network":[79,101,133],"parameters":[80,106],"optimize":[82],"packet":[83],"transmission":[84],"collision":[86],"rates,":[87],"ultimately":[88],"reducing":[89],"power":[90],"across":[92],"city":[94,170],"applications.":[95],"Kernel-ELM":[97],"algorithm":[98],"fine-tunes":[99],"applications":[102],"adapting":[104],"kernel":[105],"unique":[109],"demands":[110],"environments.":[113],"Additionally,":[114],"Anomaly":[116],"Detection":[117],"Fusion":[119],"Algorithm":[120],"(ADFA)":[121],"integrates":[122],"from":[124],"multiple":[125],"sources":[126],"detect":[128],"potential":[129],"threats,":[131],"security.":[134],"Experimental":[135],"results":[136],"validate":[137],"these":[138],"on":[140],"various":[141],"datasets,":[142],"demonstrating":[143],"improvements":[144],"both":[146],"optimization":[148],"detection.":[151],"Ultimately,":[152],"this":[153],"provides":[155],"actionable":[156],"insights":[157],"into":[158],"deployment":[160],"scalable,":[162],"energy-efficient,":[163],"secure":[165],"for":[168],"infrastructure.":[171]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
