{"id":"https://openalex.org/W4312223859","doi":"https://doi.org/10.1109/wifs55849.2022.9975384","title":"Optimal Energy Efficient Design of Artificial Noise to Prevent Side-Channel Attacks","display_name":"Optimal Energy Efficient Design of Artificial Noise to Prevent Side-Channel Attacks","publication_year":2022,"publication_date":"2022-12-12","ids":{"openalex":"https://openalex.org/W4312223859","doi":"https://doi.org/10.1109/wifs55849.2022.9975384"},"language":"en","primary_location":{"id":"doi:10.1109/wifs55849.2022.9975384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs55849.2022.9975384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Workshop on Information Forensics and Security (WIFS)","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/A5045118907","display_name":"Shan Jin","orcid":"https://orcid.org/0000-0002-4152-4498"},"institutions":[{"id":"https://openalex.org/I164956901","display_name":"Visa (United Kingdom)","ror":"https://ror.org/05syhdw25","country_code":"GB","type":"company","lineage":["https://openalex.org/I164956901","https://openalex.org/I4210148469"]},{"id":"https://openalex.org/I4210148469","display_name":"Visa (United States)","ror":"https://ror.org/05t1y0b59","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148469"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Shan Jin","raw_affiliation_strings":["Visa Research,Austin,TX,USA","Visa Research, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visa Research,Austin,TX,USA","institution_ids":["https://openalex.org/I164956901"]},{"raw_affiliation_string":"Visa Research, Austin, TX, USA","institution_ids":["https://openalex.org/I4210148469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101552818","display_name":"Minghua Xu","orcid":"https://orcid.org/0009-0002-7746-2468"},"institutions":[{"id":"https://openalex.org/I164956901","display_name":"Visa (United Kingdom)","ror":"https://ror.org/05syhdw25","country_code":"GB","type":"company","lineage":["https://openalex.org/I164956901","https://openalex.org/I4210148469"]},{"id":"https://openalex.org/I4210148469","display_name":"Visa (United States)","ror":"https://ror.org/05t1y0b59","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148469"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Minghua Xu","raw_affiliation_strings":["Visa Research,Austin,TX,USA","Visa Research, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visa Research,Austin,TX,USA","institution_ids":["https://openalex.org/I164956901"]},{"raw_affiliation_string":"Visa Research, Austin, TX, USA","institution_ids":["https://openalex.org/I4210148469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040027964","display_name":"Riccardo Bettati","orcid":"https://orcid.org/0000-0002-5877-6667"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Riccardo Bettati","raw_affiliation_strings":["Texas A&#x00026;M University, College Station College Station, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&#x00026;M University, College Station College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050855162","display_name":"Mihai Christodorescu","orcid":"https://orcid.org/0000-0001-5808-8015"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mihai Christodorescu","raw_affiliation_strings":["Google LLC, Mountain View, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google LLC, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1387,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56650813,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10951","display_name":"Cryptographic Implementations and Security","score":1.0,"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":1.0,"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":0.9987999796867371,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8202452659606934},{"id":"https://openalex.org/keywords/artificial-noise","display_name":"Artificial noise","score":0.7035604119300842},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6122870445251465},{"id":"https://openalex.org/keywords/leakage","display_name":"Leakage (economics)","score":0.5927782654762268},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5741175413131714},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5724924206733704},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4472891390323639},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4352412819862366},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.40389493107795715},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2777853012084961},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2622458338737488},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2622155547142029},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.2369993031024933},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12290441989898682}],"concepts":[{"id":"https://openalex.org/C49289754","wikidata":"https://www.wikidata.org/wiki/Q2267081","display_name":"Side channel attack","level":3,"score":0.8202452659606934},{"id":"https://openalex.org/C2780909371","wikidata":"https://www.wikidata.org/wiki/Q4801092","display_name":"Artificial noise","level":4,"score":0.7035604119300842},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6122870445251465},{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.5927782654762268},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5741175413131714},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5724924206733704},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4472891390323639},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4352412819862366},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.40389493107795715},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2777853012084961},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2622458338737488},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2622155547142029},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.2369993031024933},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12290441989898682},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wifs55849.2022.9975384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs55849.2022.9975384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Workshop on Information Forensics and Security (WIFS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9200000166893005,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W191000419","https://openalex.org/W1412796964","https://openalex.org/W1488022194","https://openalex.org/W1499081748","https://openalex.org/W1511843316","https://openalex.org/W1560519124","https://openalex.org/W1562542037","https://openalex.org/W1752847028","https://openalex.org/W1774054610","https://openalex.org/W2007529001","https://openalex.org/W2096434182","https://openalex.org/W2107002684","https://openalex.org/W2134620466","https://openalex.org/W2154909745","https://openalex.org/W2165943096","https://openalex.org/W2478708596","https://openalex.org/W2604388769","https://openalex.org/W2784549308","https://openalex.org/W2914572864","https://openalex.org/W2914814465","https://openalex.org/W2949591164","https://openalex.org/W2990296674","https://openalex.org/W3105103435","https://openalex.org/W4220803194","https://openalex.org/W4241915324","https://openalex.org/W6628161219","https://openalex.org/W6764091152"],"related_works":["https://openalex.org/W3006344745","https://openalex.org/W182679101","https://openalex.org/W2103519941","https://openalex.org/W3180573957","https://openalex.org/W2162805750","https://openalex.org/W2043669269","https://openalex.org/W2329175123","https://openalex.org/W1968560271","https://openalex.org/W2081998479","https://openalex.org/W2924092255"],"abstract_inverted_index":{"How":[0],"to":[1,22,47,66,81,85],"prevent":[2,67],"side-channel":[3,68,73],"attacks":[4],"(SCAs)":[5],"has":[6],"become":[7],"an":[8,58],"important":[9],"problem":[10],"for":[11,63],"securing":[12],"modern":[13],"cryptographic":[14],"devices.":[15],"One":[16],"of":[17,29,42,111],"the":[18,27,34,39,72,87,91,94,103,108,112,118],"widely":[19],"used":[20],"countermeasures":[21],"against":[23],"power":[24],"SCAs":[25],"is":[26],"injection":[28,41,115],"random":[30,43],"noise":[31,44,65,104,114],"sequence":[32],"into":[33],"raw":[35],"leakage":[36,95],"traces.":[37,96],"However,":[38],"indiscriminate":[40],"can":[45],"lead":[46],"significant":[48],"increases":[49],"in":[50,102],"energy":[51,60,100],"consumption.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56,106],"propose":[57],"optimal":[59,109],"efficient":[61],"design":[62,110],"artificial":[64,113],"attacks.":[69],"We":[70],"model":[71],"as":[74],"a":[75,98],"communication":[76],"channel,":[77],"which":[78],"allows":[79],"us":[80],"use":[82],"channel":[83,120],"capacity":[84,121],"measure":[86],"mutual":[88],"information":[89],"between":[90],"secret":[92],"and":[93],"For":[97],"given":[99],"budget":[101],"generation,":[105],"obtain":[107],"by":[116],"solving":[117],"side-channel\u2019s":[119],"minimization":[122],"problem.":[123]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
