{"id":"https://openalex.org/W2972518368","doi":"https://doi.org/10.1109/tvlsi.2019.2937365","title":"A Systematic Evaluation of Profiling Through Focused Feature Selection","display_name":"A Systematic Evaluation of Profiling Through Focused Feature Selection","publication_year":2019,"publication_date":"2019-09-13","ids":{"openalex":"https://openalex.org/W2972518368","doi":"https://doi.org/10.1109/tvlsi.2019.2937365","mag":"2972518368"},"language":"en","primary_location":{"id":"doi:10.1109/tvlsi.2019.2937365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2019.2937365","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","raw_type":"journal-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/A5024072796","display_name":"Stjepan Picek","orcid":"https://orcid.org/0000-0001-7509-4337"},"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":"Stjepan Picek","raw_affiliation_strings":["Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023438943","display_name":"Annelie Heuser","orcid":"https://orcid.org/0000-0002-1095-5420"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Annelie Heuser","raw_affiliation_strings":["French National Center for Scientific Research (CNRS), IRISA, Rennes, France"],"affiliations":[{"raw_affiliation_string":"French National Center for Scientific Research (CNRS), IRISA, Rennes, France","institution_ids":["https://openalex.org/I2802519937","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038428045","display_name":"Alan Jovi\u0107","orcid":"https://orcid.org/0000-0003-3821-8091"},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Alan Jovic","raw_affiliation_strings":["Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia","institution_ids":["https://openalex.org/I181343428"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051408740","display_name":"Lejla Batina","orcid":"https://orcid.org/0000-0003-0727-3573"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Lejla Batina","raw_affiliation_strings":["Institute for Computing and Information Sciences, Radboud University, Nijmegen, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Institute for Computing and Information Sciences, Radboud University, Nijmegen, The Netherlands","institution_ids":["https://openalex.org/I145872427"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024072796"],"corresponding_institution_ids":["https://openalex.org/I98358874"],"apc_list":null,"apc_paid":null,"fwci":4.0462,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.95157669,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"27","issue":"12","first_page":"2802","last_page":"2815"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10951","display_name":"Cryptographic Implementations and Security","score":0.9988999962806702,"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":0.9988999962806702,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9864000082015991,"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"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.979200005531311,"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/feature-selection","display_name":"Feature selection","score":0.7494298219680786},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7250248789787292},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6667006611824036},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5989842414855957},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5579807758331299},{"id":"https://openalex.org/keywords/side-channel-attack","display_name":"Side channel attack","score":0.47078460454940796},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46847453713417053},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.43579718470573425},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43527036905288696},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4192471504211426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41911664605140686},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37887465953826904},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27614349126815796},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.15978533029556274}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7494298219680786},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7250248789787292},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6667006611824036},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5989842414855957},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5579807758331299},{"id":"https://openalex.org/C49289754","wikidata":"https://www.wikidata.org/wiki/Q2267081","display_name":"Side channel attack","level":3,"score":0.47078460454940796},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46847453713417053},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.43579718470573425},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43527036905288696},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4192471504211426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41911664605140686},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37887465953826904},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27614349126815796},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.15978533029556274},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tvlsi.2019.2937365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2019.2937365","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","raw_type":"journal-article"},{"id":"pmh:oai:repository.ubn.ru.nl:2066/210202","is_oa":false,"landing_page_url":"http://hdl.handle.net/2066/210202","pdf_url":null,"source":{"id":"https://openalex.org/S4306401067","display_name":"Radboud Repository (Radboud University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145872427","host_organization_name":"Radboud University Nijmegen","host_organization_lineage":["https://openalex.org/I145872427"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 27, 12, pp. 2802-2815","raw_type":"Article / Letter to editor"},{"id":"pmh:oai:tudelft.nl:uuid:a61efa66-4146-43aa-9cd9-6c91c662257d","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:a61efa66-4146-43aa-9cd9-6c91c662257d","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"journal article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4856976594","display_name":null,"funder_award_id":"13499","funder_id":"https://openalex.org/F4320334893","funder_display_name":"Stichting voor de Technische Wetenschappen"}],"funders":[{"id":"https://openalex.org/F4320334893","display_name":"Stichting voor de Technische Wetenschappen","ror":"https://ror.org/057tq3593"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W37768642","https://openalex.org/W109426440","https://openalex.org/W1412796964","https://openalex.org/W1470392698","https://openalex.org/W1487321909","https://openalex.org/W1532071734","https://openalex.org/W1560022750","https://openalex.org/W1599906532","https://openalex.org/W1607006990","https://openalex.org/W1619226191","https://openalex.org/W1752847028","https://openalex.org/W1970267951","https://openalex.org/W1993482360","https://openalex.org/W2004915807","https://openalex.org/W2017337590","https://openalex.org/W2100483895","https://openalex.org/W2106525823","https://openalex.org/W2117756735","https://openalex.org/W2135046866","https://openalex.org/W2143426320","https://openalex.org/W2156909104","https://openalex.org/W2293927790","https://openalex.org/W2466829632","https://openalex.org/W2487770199","https://openalex.org/W2556867355","https://openalex.org/W2562162676","https://openalex.org/W2734509410","https://openalex.org/W2758683192","https://openalex.org/W2787133591","https://openalex.org/W2810943746","https://openalex.org/W2896512143","https://openalex.org/W2903143476","https://openalex.org/W2911964244","https://openalex.org/W2914572864","https://openalex.org/W2952010918","https://openalex.org/W2998768810","https://openalex.org/W4245524709","https://openalex.org/W4289115712","https://openalex.org/W6631596758","https://openalex.org/W6752790553","https://openalex.org/W6759495720"],"related_works":["https://openalex.org/W3013515612","https://openalex.org/W2136184105","https://openalex.org/W2187500075","https://openalex.org/W2041399278","https://openalex.org/W2160451891","https://openalex.org/W2336974148","https://openalex.org/W2374776489","https://openalex.org/W2056016498","https://openalex.org/W3195168932","https://openalex.org/W2345184372"],"abstract_inverted_index":{"Profiled":[0],"side-channel":[1,27],"attacks":[2],"consist":[3],"of":[4,20,23,33,89,92,108,132,138,178],"several":[5,99],"steps":[6],"one":[7],"needs":[8],"to":[9,49,76],"take.":[10],"An":[11],"important,":[12],"but":[13],"sometimes":[14],"ignored,":[15],"step":[16],"is":[17,183],"a":[18,86,129,136],"selection":[19,58,65,123,181],"the":[21,34,38,44,56,69,78,90,111,176,190,200],"points":[22],"interest":[24],"(features)":[25],"within":[26],"measurement":[28],"traces.":[29],"A":[30],"large":[31],"majority":[32],"related":[35],"works":[36],"start":[37],"analyses":[39],"with":[40,153,196],"an":[41,187],"assumption":[42],"that":[43,118,163,175],"features":[45,139],"are":[46,96],"preselected.":[47],"Contrary":[48],"this":[50,82],"assumption,":[51],"here,":[52],"we":[53,84,173],"concentrate":[54],"on":[55,98,189,199],"feature":[57,64,122,155,180],"step.":[59],"We":[60,141],"investigate":[61],"how":[62],"advanced":[63],"techniques":[66,182],"stemming":[67],"from":[68],"machine":[70,151],"learning":[71],"domain":[72],"can":[73],"be":[74],"used":[75,157],"improve":[77],"attack":[79,188],"efficiency.":[80],"To":[81],"end,":[83],"provide":[85],"systematic":[87],"evaluation":[88],"methods":[91,124],"interest.":[93],"The":[94],"experiments":[95],"performed":[97],"real-world":[100],"data":[101,192],"sets":[102],"containing":[103],"software":[104],"and":[105,120,135,147,169],"hardware":[106],"implementations":[107],"AES,":[109],"including":[110,194],"random":[112],"delay":[113],"countermeasure.":[114],"Our":[115],"results":[116],"show":[117,174],"wrapper":[119],"hybrid":[121],"perform":[125],"extremely":[126],"well":[127,165],"over":[128],"wide":[130],"range":[131],"test":[133],"scenarios":[134],"number":[137],"selected.":[140],"emphasize":[142],"L1":[143],"regularization":[144],"(wrapper":[145],"approach)":[146,162],"linear":[148],"support":[149],"vector":[150],"(SVM)":[152],"recursive":[154],"elimination":[156],"after":[158],"chi-square":[159],"filter":[160],"(Hybrid":[161],"performs":[164],"in":[166],"both":[167],"accuracy":[168],"guessing":[170],"entropy.":[171],"Finally,":[172],"use":[177],"appropriate":[179],"more":[184],"important":[185],"for":[186],"high-noise":[191],"sets,":[193],"those":[195],"countermeasures,":[197],"than":[198],"low-noise":[201],"ones.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2019-09-19T00:00:00"}
