{"id":"https://openalex.org/W4384927014","doi":"https://doi.org/10.1007/s13389-023-00328-y","title":"AutoPOI: automated points of interest selection for side-channel analysis","display_name":"AutoPOI: automated points of interest selection for side-channel analysis","publication_year":2023,"publication_date":"2023-07-20","ids":{"openalex":"https://openalex.org/W4384927014","doi":"https://doi.org/10.1007/s13389-023-00328-y"},"language":"en","primary_location":{"id":"doi:10.1007/s13389-023-00328-y","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s13389-023-00328-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13389-023-00328-y.pdf","source":{"id":"https://openalex.org/S2764800400","display_name":"Journal of Cryptographic Engineering","issn_l":"2190-8508","issn":["2190-8508","2190-8516"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cryptographic Engineering","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/s13389-023-00328-y.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092507760","display_name":"Mick G. D. Remmerswaal","orcid":null},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Mick G. D. Remmerswaal","raw_affiliation_strings":["Leiden University, Leiden, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045570758","display_name":"Lichao Wu","orcid":"https://orcid.org/0000-0002-7139-732X"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Lichao Wu","raw_affiliation_strings":["Delft University of Technology, Delft, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technology, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088219388","display_name":"S\u00e9bastien Tiran","orcid":null},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"S\u00e9bastien Tiran","raw_affiliation_strings":["Delft, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050888929","display_name":"Nele Mentens","orcid":"https://orcid.org/0000-0001-8753-7895"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]},{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE","NL"],"is_corresponding":false,"raw_author_name":"Nele Mentens","raw_affiliation_strings":["KU Leuven, Leuven, Belgium","Leiden University, Leiden, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045570758"],"corresponding_institution_ids":["https://openalex.org/I98358874"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.5637,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71794711,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"14","issue":"3","first_page":"463","last_page":"474"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10951","display_name":"Cryptographic Implementations and Security","score":0.9986000061035156,"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":0.9986000061035156,"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":0.972100019454956,"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":0.9671000242233276,"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/computer-science","display_name":"Computer science","score":0.7744725942611694},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6933474540710449},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6310644745826721},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6101971864700317},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.48234885931015015},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4762016534805298},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46186643838882446},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45828643441200256},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4103385806083679},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.398276150226593}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7744725942611694},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6933474540710449},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6310644745826721},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6101971864700317},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.48234885931015015},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4762016534805298},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46186643838882446},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45828643441200256},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4103385806083679},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.398276150226593},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/s13389-023-00328-y","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s13389-023-00328-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13389-023-00328-y.pdf","source":{"id":"https://openalex.org/S2764800400","display_name":"Journal of Cryptographic Engineering","issn_l":"2190-8508","issn":["2190-8508","2190-8516"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cryptographic Engineering","raw_type":"journal-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:20.500.12942/723408","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/20.500.12942/723408","pdf_url":"https://lirias.kuleuven.be/retrieve/ab9d7ea5-9449-4cee-b520-a9b67ef3cd20","source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Cryptographic Engineering, vol. 14 (3), (463-474)","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:20.500.12942/729505","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/20.500.12942/729505","pdf_url":"https://lirias.kuleuven.be/retrieve/6a2e9519-40fa-47ba-8220-7bd497dcf0cd","source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Cryptology ePrint Archive","raw_type":"info:eu-repo/semantics/preprint"},{"id":"pmh:oai:scholarlypublications.universiteitleiden.nl:item_4303514","is_oa":true,"landing_page_url":"https://hdl.handle.net/1887/4303514","pdf_url":null,"source":{"id":"https://openalex.org/S4306400850","display_name":"Leiden Repository (Leiden University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I121797337","host_organization_name":"Leiden University","host_organization_lineage":["https://openalex.org/I121797337"],"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":"Journal of Cryptographic Engineering","raw_type":"Article / Letter to editor"},{"id":"pmh:oai:tudelft.nl:uuid:c864dd99-24cf-4916-8d2d-ed176b8db185","is_oa":true,"landing_page_url":"http://resolver.tudelft.nl/uuid:c864dd99-24cf-4916-8d2d-ed176b8db185","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"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":"","raw_type":"journal article"}],"best_oa_location":{"id":"doi:10.1007/s13389-023-00328-y","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s13389-023-00328-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13389-023-00328-y.pdf","source":{"id":"https://openalex.org/S2764800400","display_name":"Journal of Cryptographic Engineering","issn_l":"2190-8508","issn":["2190-8508","2190-8516"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cryptographic Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5188059367","display_name":"PROACT - Physical Attack Resistance of Cryptographic Algorithms and Circuits with Reduced Time to Market","funder_award_id":"NWA.1215.18.014","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4384927014.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W1494911169","https://openalex.org/W1499081748","https://openalex.org/W1560022750","https://openalex.org/W1560027954","https://openalex.org/W1607006990","https://openalex.org/W1752847028","https://openalex.org/W1774054610","https://openalex.org/W1965555277","https://openalex.org/W2001619934","https://openalex.org/W2008071701","https://openalex.org/W2071128523","https://openalex.org/W2119717200","https://openalex.org/W2145339207","https://openalex.org/W2154909745","https://openalex.org/W2293927790","https://openalex.org/W2556867355","https://openalex.org/W2896512143","https://openalex.org/W2914572864","https://openalex.org/W2972518368","https://openalex.org/W2990296674","https://openalex.org/W3029743714","https://openalex.org/W3116073070","https://openalex.org/W3126247501","https://openalex.org/W3196551716","https://openalex.org/W3208177954","https://openalex.org/W6600599538","https://openalex.org/W6814003322"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241","https://openalex.org/W2354420595"],"abstract_inverted_index":{"Abstract":[0],"Template":[1],"attacks":[2,18],"(TAs)":[3],"are":[4,134,147],"one":[5],"of":[6,16,23,49,78,164,170],"the":[7,21,24,29,43,54,63,70,76,103,145,159,162,168,174,177],"most":[8],"powerful":[9],"side-channel":[10],"analysis":[11,100],"(SCA)":[12],"attacks.":[13],"The":[14,130,140],"success":[15],"such":[17,86,96],"relies":[19],"on":[20,118,173,190],"effectiveness":[22],"profiling":[25],"model":[26],"in":[27,83],"modeling":[28],"leakage":[30,55],"information.":[31,56],"A":[32],"crucial":[33],"step":[34],"for":[35],"TA":[36],"is":[37],"to":[38,52,75,91,122,186],"select":[39,125],"relevant":[40],"features":[41,66,87,133,166,182],"from":[42],"measured":[44],"traces,":[45],"often":[46],"called":[47],"points":[48],"interest":[50],"(POIs),":[51],"extract":[53,92,181],"Previous":[57],"research":[58],"indicates":[59],"that":[60,184],"properly":[61],"selecting":[62],"input":[64,131],"leaking":[65],"could":[67],"significantly":[68],"increase":[69],"attack":[71],"performance.":[72],"However,":[73],"due":[74],"presence":[77],"SCA":[79],"countermeasures":[80],"and":[81,102,126],"advancements":[82],"technology":[84],"nodes,":[85],"become":[88],"increasingly":[89],"difficult":[90],"with":[93,151,167],"conventional":[94],"approaches":[95],"as":[97],"principle":[98],"component":[99],"(PCA)":[101],"Sum":[104],"Of":[105],"Squared":[106],"pairwise":[107],"T-difference-based":[108],"method":[109],"(SOST).":[110],"This":[111],"work":[112],"proposes":[113],"a":[114],"framework,":[115],"AutoPOI,":[116],"based":[117],"proximal":[119],"policy":[120],"optimization":[121],"automatically":[123,183],"find,":[124],"scale":[127],"down":[128,150],"features.":[129],"raw":[132],"first":[135],"grouped":[136],"into":[137],"small":[138],"regions.":[139],"best":[141],"candidates":[142],"selected":[143],"by":[144],"framework":[146,160,179],"further":[148],"scaled":[149],"an":[152],"online-optimized":[153],"dimensionality":[154],"reduction":[155],"neural":[156],"network.":[157],"Finally,":[158],"rewards":[161],"performance":[163,189],"these":[165],"results":[169],"TA.":[171],"Based":[172],"experimental":[175],"results,":[176],"proposed":[178],"can":[180],"lead":[185],"comparable":[187],"state-of-the-art":[188],"several":[191],"commonly":[192],"used":[193],"datasets.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
