{"id":"https://openalex.org/W4206135427","doi":"https://doi.org/10.1109/icct52962.2021.9657885","title":"Profiling Attacks against ECC: Side Channel Analysis Based on Deep Learning for Curve-25519","display_name":"Profiling Attacks against ECC: Side Channel Analysis Based on Deep Learning for Curve-25519","publication_year":2021,"publication_date":"2021-10-13","ids":{"openalex":"https://openalex.org/W4206135427","doi":"https://doi.org/10.1109/icct52962.2021.9657885"},"language":"en","primary_location":{"id":"doi:10.1109/icct52962.2021.9657885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct52962.2021.9657885","pdf_url":null,"source":{"id":"https://openalex.org/S4363607878","display_name":"2021 IEEE 21st International Conference on Communication Technology (ICCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 21st International Conference on Communication Technology (ICCT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101933778","display_name":"Jiajun Xu","orcid":"https://orcid.org/0000-0002-5058-2534"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Xu","raw_affiliation_strings":["College of Big Data and Internet Shenzhen Technology University,Shenzhen,China","College of Big Data and Internet Shenzhen Technology University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data and Internet Shenzhen Technology University,Shenzhen,China","institution_ids":["https://openalex.org/I4210152380"]},{"raw_affiliation_string":"College of Big Data and Internet Shenzhen Technology University, Shenzhen, China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100457567","display_name":"Meng Li","orcid":"https://orcid.org/0000-0003-3284-0832"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Li","raw_affiliation_strings":["College of Big Data and Internet Shenzhen Technology University,Shenzhen,China","College of Big Data and Internet Shenzhen Technology University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data and Internet Shenzhen Technology University,Shenzhen,China","institution_ids":["https://openalex.org/I4210152380"]},{"raw_affiliation_string":"College of Big Data and Internet Shenzhen Technology University, Shenzhen, China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045205941","display_name":"Lixin Liang","orcid":"https://orcid.org/0000-0002-5995-8024"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixin Liang","raw_affiliation_strings":["College of Big Data and Internet Shenzhen Technology University,Shenzhen,China","College of Big Data and Internet Shenzhen Technology University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data and Internet Shenzhen Technology University,Shenzhen,China","institution_ids":["https://openalex.org/I4210152380"]},{"raw_affiliation_string":"College of Big Data and Internet Shenzhen Technology University, Shenzhen, China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100410218","display_name":"Yiwei Zhang","orcid":"https://orcid.org/0000-0002-5158-4187"},"institutions":[{"id":"https://openalex.org/I4210148944","display_name":"D\u00e0-Ji\u0101ng Innovations Science and Technology (China)","ror":"https://ror.org/04fmkfb67","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210148944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwei Zhang","raw_affiliation_strings":["Shenzhen DJI Technology Co., Ltd.,Shenzhen,China","Shenzhen DJI Technology Co., Ltd., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen DJI Technology Co., Ltd.,Shenzhen,China","institution_ids":["https://openalex.org/I4210148944"]},{"raw_affiliation_string":"Shenzhen DJI Technology Co., Ltd., Shenzhen, China","institution_ids":["https://openalex.org/I4210148944"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102803592","display_name":"Shaohua Xiang","orcid":"https://orcid.org/0000-0001-6910-7322"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohua Xiang","raw_affiliation_strings":["College of Big Data and Internet Shenzhen Technology University,Shenzhen,China","College of Big Data and Internet Shenzhen Technology University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data and Internet Shenzhen Technology University,Shenzhen,China","institution_ids":["https://openalex.org/I4210152380"]},{"raw_affiliation_string":"College of Big Data and Internet Shenzhen Technology University, Shenzhen, China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064486012","display_name":"Zhe Ma","orcid":"https://orcid.org/0009-0003-0202-3863"},"institutions":[{"id":"https://openalex.org/I898250095","display_name":"Industrial and Commercial Bank of China","ror":"https://ror.org/02zcab046","country_code":"CN","type":"other","lineage":["https://openalex.org/I898250095"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Ma","raw_affiliation_strings":["Bank Card Test Center (BCTC),Beijingy,China","Bank Card Test Center (BCTC), Beijingy, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bank Card Test Center (BCTC),Beijingy,China","institution_ids":["https://openalex.org/I898250095"]},{"raw_affiliation_string":"Bank Card Test Center (BCTC), Beijingy, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"54","issue":null,"first_page":"274","last_page":"278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10951","display_name":"Cryptographic Implementations and Security","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10951","display_name":"Cryptographic Implementations and Security","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/side-channel-attack","display_name":"Side channel attack","score":0.8665206432342529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7146239280700684},{"id":"https://openalex.org/keywords/swap","display_name":"Swap (finance)","score":0.6133317947387695},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49724939465522766},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4761812090873718},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45918434858322144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38503068685531616},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.15125951170921326}],"concepts":[{"id":"https://openalex.org/C49289754","wikidata":"https://www.wikidata.org/wiki/Q2267081","display_name":"Side channel attack","level":3,"score":0.8665206432342529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7146239280700684},{"id":"https://openalex.org/C99821215","wikidata":"https://www.wikidata.org/wiki/Q1136583","display_name":"Swap (finance)","level":2,"score":0.6133317947387695},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49724939465522766},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4761812090873718},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45918434858322144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38503068685531616},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.15125951170921326},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icct52962.2021.9657885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct52962.2021.9657885","pdf_url":null,"source":{"id":"https://openalex.org/S4363607878","display_name":"2021 IEEE 21st International Conference on Communication Technology (ICCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 21st International Conference on Communication Technology (ICCT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G2925149445","display_name":null,"funder_award_id":"XQHZ202119","funder_id":"https://openalex.org/F4320329792","funder_display_name":"Shenzhen International Cooperation Research Project"}],"funders":[{"id":"https://openalex.org/F4320329792","display_name":"Shenzhen International Cooperation Research Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2556867355","https://openalex.org/W2746796098","https://openalex.org/W2943126371","https://openalex.org/W2996022685","https://openalex.org/W3127637494"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W4323824501","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"This":[0],"paper":[1],"combines":[2],"the":[3,8,18,30,49,52,79,84,91,97,104,117,120,126,134],"deep":[4],"learning":[5],"technology":[6],"and":[7,39,77,89,119,133,140],"side-channel":[9,70],"analysis":[10,16,50,71,135],"method":[11,72],"to":[12,75],"achieve":[13],"effective":[14],"cross-technology":[15],"for":[17,109],"ECC":[19,98,127],"Curve-25519":[20,99,128],"algorithm":[21,100,129],"on":[22],"an":[23],"STM32F407":[24],"(ARM-CortexM4)":[25],"chip.":[26],"The":[27,69,112],"implementation":[28],"of":[29,83,87,96],"target":[31],"algorithm,":[32],"which":[33,59],"is":[34,73],"protected":[35],"with":[36,130],"point":[37,63,66],"randomization":[38],"constant-time":[40],"operations":[41,56],"(Montgomery":[42],"powering":[43],"ladder),":[44],"uses":[45],"security":[46,131],"countermeasures.":[47],"Therefore,":[48],"explores":[51],"leakages":[53],"from":[54],"memory-related":[55],"(conditional":[57],"swap),":[58],"happen":[60],"before":[61],"each":[62],"addition":[64],"or":[65],"doubling":[67],"operation.":[68],"used":[74],"determine":[76],"label":[78],"swap":[80],"bits":[81],"values":[82],"TOE":[85],"(target":[86],"evaluation),":[88],"then":[90],"electromagnetic":[92],"radiation":[93],"energy":[94],"traces":[95],"are":[101],"fed":[102],"into":[103],"convolutional":[105],"neural":[106],"network":[107,122],"(CNN)":[108],"iterative":[110],"training.":[111],"experiment":[113],"shows":[114],"that":[115],"both":[116],"AlexNet":[118],"VGG-13":[121],"can":[123],"effectively":[124],"analyze":[125],"countermeasures,":[132],"accuracy":[136],"rate":[137],"reaches":[138],"96.11%":[139],"98.61%,":[141],"respectively.":[142]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
