{"id":"https://openalex.org/W4414197547","doi":"https://doi.org/10.1109/dac63849.2025.11132394","title":"DeepPUFSCA: Deep learning for Physical Unclonable Function attack based on Side Channel Analysis support","display_name":"DeepPUFSCA: Deep learning for Physical Unclonable Function attack based on Side Channel Analysis support","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4414197547","doi":"https://doi.org/10.1109/dac63849.2025.11132394"},"language":"en","primary_location":{"id":"doi:10.1109/dac63849.2025.11132394","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac63849.2025.11132394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 62nd ACM/IEEE Design Automation Conference (DAC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pureadmin.qub.ac.uk/ws/files/633404316/DAC_2025_camera_ready.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038942051","display_name":"Ngoc Phu Doan","orcid":null},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ngoc Phu Doan","raw_affiliation_strings":["Queen’s University,Belfast,UK"],"affiliations":[{"raw_affiliation_string":"Queen’s University,Belfast,UK","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009439842","display_name":"Tuan D. Pham","orcid":"https://orcid.org/0000-0002-4255-5130"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tuan Dung Pham","raw_affiliation_strings":["Queen’s University,Belfast,UK"],"affiliations":[{"raw_affiliation_string":"Queen’s University,Belfast,UK","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062152963","display_name":"Zichi Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zichi Zhang","raw_affiliation_strings":["Queen’s University,Belfast,UK"],"affiliations":[{"raw_affiliation_string":"Queen’s University,Belfast,UK","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004157847","display_name":"Van-Toan Tran","orcid":"https://orcid.org/0000-0002-7832-9653"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Viet Hung Tran","raw_affiliation_strings":["Queen’s University,Belfast,UK"],"affiliations":[{"raw_affiliation_string":"Queen’s University,Belfast,UK","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045440843","display_name":"Jack Miskelly","orcid":"https://orcid.org/0000-0001-8063-4019"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jack Miskelly","raw_affiliation_strings":["Queen’s University,Belfast,UK"],"affiliations":[{"raw_affiliation_string":"Queen’s University,Belfast,UK","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086758775","display_name":"Hans Vandierendonck","orcid":"https://orcid.org/0000-0001-5868-9259"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hans Vandierendonck","raw_affiliation_strings":["Queen’s University,Belfast,UK"],"affiliations":[{"raw_affiliation_string":"Queen’s University,Belfast,UK","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037073589","display_name":"Anh Tuan Hoang","orcid":"https://orcid.org/0000-0002-1767-8040"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anh Tuan Hoang","raw_affiliation_strings":["Queen’s University,Belfast,UK"],"affiliations":[{"raw_affiliation_string":"Queen’s University,Belfast,UK","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079438004","display_name":"M\u00e1ire O\u05f3Neill","orcid":"https://orcid.org/0000-0002-6865-6212"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"M\u00e1ire O\u2019Neill","raw_affiliation_strings":["Queen’s University,Belfast,UK"],"affiliations":[{"raw_affiliation_string":"Queen’s University,Belfast,UK","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068722236","display_name":"Thai Son","orcid":"https://orcid.org/0009-0002-0066-7684"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Thai Son Mai","raw_affiliation_strings":["Queen’s University,Belfast,UK"],"affiliations":[{"raw_affiliation_string":"Queen’s University,Belfast,UK","institution_ids":["https://openalex.org/I126231945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5038942051"],"corresponding_institution_ids":["https://openalex.org/I126231945"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.257848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9997000098228455,"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9994999766349792,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.998199999332428,"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":0.8539999723434448},{"id":"https://openalex.org/keywords/physical-unclonable-function","display_name":"Physical unclonable function","score":0.7236999869346619},{"id":"https://openalex.org/keywords/arbiter","display_name":"Arbiter","score":0.6875},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6280999779701233},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.6159999966621399},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.46209999918937683},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.44589999318122864},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.4307999908924103}],"concepts":[{"id":"https://openalex.org/C49289754","wikidata":"https://www.wikidata.org/wiki/Q2267081","display_name":"Side channel attack","level":3,"score":0.8539999723434448},{"id":"https://openalex.org/C8643368","wikidata":"https://www.wikidata.org/wiki/Q4046262","display_name":"Physical unclonable function","level":3,"score":0.7236999869346619},{"id":"https://openalex.org/C2779971761","wikidata":"https://www.wikidata.org/wiki/Q629872","display_name":"Arbiter","level":2,"score":0.6875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6413999795913696},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6280999779701233},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.6159999966621399},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5724999904632568},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46209999918937683},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.44589999318122864},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.4307999908924103},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4244000017642975},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.35190001130104065},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.34290000796318054},{"id":"https://openalex.org/C39217717","wikidata":"https://www.wikidata.org/wiki/Q1432354","display_name":"Hardware security module","level":3,"score":0.34139999747276306},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3400000035762787},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.33799999952316284},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.33719998598098755},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.31610000133514404},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3046000003814697},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.288100004196167},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.26350000500679016},{"id":"https://openalex.org/C2777021972","wikidata":"https://www.wikidata.org/wiki/Q22976830","display_name":"Uniqueness","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25839999318122864}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dac63849.2025.11132394","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac63849.2025.11132394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 62nd ACM/IEEE Design Automation Conference (DAC)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.qub.ac.uk/portal:openaire/9ed3f002-1ea0-4557-bc9c-c3971509ef31","is_oa":true,"landing_page_url":"https://pure.qub.ac.uk/en/publications/9ed3f002-1ea0-4557-bc9c-c3971509ef31","pdf_url":"https://pureadmin.qub.ac.uk/ws/files/633404316/DAC_2025_camera_ready.pdf","source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Doan, N P, Pham, T D, Zhang, Z, Tran, H V, Miskelly, J, Vandierendonck, H, Hoang, A-T, O'Neill, M & Mai, T S 2025, DeepPUFSCA: deep learning for physical unclonable function attack based on side channel analysis support. in 2025 62nd ACM/IEEE Design Automation Conference (DAC): Proceedings. Design Automation Conference (DAC): Proceedings, IEEE, Design Automation Conference (DAC), San Francisco, South Carolina, United States, 22/06/2025. https://doi.org/10.1109/DAC63849.2025.11132394","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:pure.qub.ac.uk/portal:openaire/9ed3f002-1ea0-4557-bc9c-c3971509ef31","is_oa":true,"landing_page_url":"https://pure.qub.ac.uk/en/publications/9ed3f002-1ea0-4557-bc9c-c3971509ef31","pdf_url":"https://pureadmin.qub.ac.uk/ws/files/633404316/DAC_2025_camera_ready.pdf","source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Doan, N P, Pham, T D, Zhang, Z, Tran, H V, Miskelly, J, Vandierendonck, H, Hoang, A-T, O'Neill, M & Mai, T S 2025, DeepPUFSCA: deep learning for physical unclonable function attack based on side channel analysis support. in 2025 62nd ACM/IEEE Design Automation Conference (DAC): Proceedings. Design Automation Conference (DAC): Proceedings, IEEE, Design Automation Conference (DAC), San Francisco, South Carolina, United States, 22/06/2025. https://doi.org/10.1109/DAC63849.2025.11132394","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1337559416","display_name":"Relaxed Semantics Across the Data Analytics Stack","funder_award_id":"EP/X029174/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7915277041","display_name":null,"funder_award_id":"2021-2027","funder_id":"https://openalex.org/F4320334322","funder_display_name":"HORIZON EUROPE Framework Programme"},{"id":"https://openalex.org/G8051717526","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8318064016","display_name":null,"funder_award_id":"Horizon","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8503085978","display_name":null,"funder_award_id":"2021-2027","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320314707","display_name":"Government of the United Kingdom","ror":"https://ror.org/05wnh3t63"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320320357","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62"},{"id":"https://openalex.org/F4320321832","display_name":"Queen's University","ror":"https://ror.org/02y72wh86"},{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320335087","display_name":"Innovate UK","ror":"https://ror.org/05ar5fy68"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414197547.pdf","grobid_xml":"https://content.openalex.org/works/W4414197547.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1772067890","https://openalex.org/W1988790447","https://openalex.org/W2014299685","https://openalex.org/W2041435997","https://openalex.org/W2044389004","https://openalex.org/W2056132907","https://openalex.org/W2116374153","https://openalex.org/W2124287399","https://openalex.org/W2151759197","https://openalex.org/W2289245055","https://openalex.org/W2295598076","https://openalex.org/W2443094676","https://openalex.org/W2577417592","https://openalex.org/W2752832485","https://openalex.org/W2884913241","https://openalex.org/W2904824295","https://openalex.org/W2909601815","https://openalex.org/W2914764075","https://openalex.org/W2946062220","https://openalex.org/W2966916323","https://openalex.org/W3004342159","https://openalex.org/W3004468114","https://openalex.org/W3115470284","https://openalex.org/W3174482953","https://openalex.org/W4226047535","https://openalex.org/W4233101919","https://openalex.org/W4313061144","https://openalex.org/W4400762160"],"related_works":[],"abstract_inverted_index":{"Physical":[0],"Unclonable":[1],"Function":[2],"(PUF)":[3],"poses":[4],"a":[5,76,100],"vulnerability":[6],"that":[7,80,120,141],"it":[8],"could":[9],"be":[10,66],"imitated":[11],"by":[12,37],"machine":[13,124],"learning":[14],"attacks":[15],"and":[16,25,63,85,108],"side":[17,143],"channel":[18,144],"attacks,":[19],"which":[20,74],"break":[21],"its":[22,110],"physical":[23],"uniqueness":[24],"unpredictable":[26],"characteristic.":[27],"Hence,":[28],"many":[29],"works":[30],"are":[31,58],"concerned":[32],"with":[33,153],"enhancing":[34],"PUF":[35,46,105],"design":[36,101],"introducing":[38],"more":[39],"nonlinear":[40],"modules":[41],"inside":[42],"to":[43,65,91,151],"differentiate":[44],"approximating":[45],"behavior":[47],"from":[48],"the":[49,53,96,133,147],"attacker":[50],"side.":[51],"However,":[52],"safety":[54],"of":[55,102,129],"these":[56],"PUFs":[57],"still":[59],"an":[60,103],"open":[61],"area":[62],"need":[64],"verified.":[67],"In":[68],"this":[69,117],"paper,":[70],"we":[71,98,138],"propose":[72],"DeepPUFSCA,":[73],"is":[75],"deep":[77],"learning-based":[78,125],"model":[79,148],"uniquely":[81],"combines":[82],"both":[83],"challenge":[84],"side-channel":[86],"information":[87,145],"features":[88],"during":[89],"training":[90],"attack":[92],"PUF.":[93],"To":[94],"gather":[95],"data,":[97],"conduct":[99],"arbiter":[104],"on":[106,116],"FPGA":[107],"measure":[109],"power":[111],"consumption.":[112],"Our":[113],"intensive":[114],"experiments":[115],"dataset":[118],"demonstrate":[119],"DeepPUFSCA":[121],"outperforms":[122],"other":[123],"methods":[126],"in":[127],"terms":[128],"attacking":[130,152],"accuracy,":[131],"even":[132],"novel":[134],"ensemble":[135],"algorithms.":[136],"Moreover,":[137],"also":[139],"show":[140],"combined":[142],"boosts":[146],"performance":[149],"compared":[150],"challenge-response":[154],"only.":[155]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}