{"id":"https://openalex.org/W4408017993","doi":"https://doi.org/10.1109/punecon63413.2024.10894827","title":"Sensor Signal Malicious Data Binary Classification: A Comparison of QNN, and VQC","display_name":"Sensor Signal Malicious Data Binary Classification: A Comparison of QNN, and VQC","publication_year":2024,"publication_date":"2024-12-13","ids":{"openalex":"https://openalex.org/W4408017993","doi":"https://doi.org/10.1109/punecon63413.2024.10894827"},"language":"en","primary_location":{"id":"doi:10.1109/punecon63413.2024.10894827","doi":"https://doi.org/10.1109/punecon63413.2024.10894827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/punecon63413.2024.10894827","pdf_url":null,"source":{"id":"https://openalex.org/S7407088372","display_name":"IEEE Pune Section International Conference (PuneCon)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2024 IEEE Pune Section International Conference (PuneCon)","raw_type":"proceedings-article"},"volume":null,"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/A5093352180","display_name":"Hillol Biswas","orcid":"https://orcid.org/0000-0001-5451-4515","observed_orcids":["https://orcid.org/0000-0001-5451-4515"]},"institutions":[{"id":"https://openalex.org/I4387930230","display_name":"WAPCOS Limited","ror":"https://ror.org/05e44rx60","country_code":null,"type":"other","lineage":["https://openalex.org/I4387930230"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Hillol Biswas","raw_affiliation_strings":["WAPCOS Limited,Power Division,Gurgaon,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WAPCOS Limited,Power Division,Gurgaon,India","institution_ids":["https://openalex.org/I4387930230"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5093352180"],"corresponding_institution_ids":["https://openalex.org/I4387930230"],"apc_list":null,"apc_paid":null,"fwci":0.6342,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7089737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.5547000169754028,"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.5547000169754028,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.225600004196167,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.05090000107884407,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/binary-classification","display_name":"binary classification","score":0.7829999923706055},{"id":"https://openalex.org/keywords/quantum-neural-networks","display_name":"quantum neural networks","score":0.859000027179718},{"id":"https://openalex.org/keywords/variational-quantum-classifier","display_name":"variational quantum classifier","score":0.9169999957084656},{"id":"https://openalex.org/keywords/quantum-machine-learning","display_name":"quantum machine learning","score":0.9629999995231628},{"id":"https://openalex.org/keywords/cyber-physical-systems","display_name":"cyber-physical systems","score":0.699999988079071},{"id":"https://openalex.org/keywords/cyberattack-detection","display_name":"cyberattack detection","score":0.6710000038146973},{"id":"https://openalex.org/keywords/dataset-size","display_name":"dataset size","score":0.718999981880188}],"concepts":[{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5789127349853516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5750203728675842},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.5048494935035706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.447933554649353},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44297391176223755},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4231034517288208},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.415446013212204},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34741538763046265},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3231022357940674},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1912999451160431},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.11829471588134766},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/punecon63413.2024.10894827","doi":"https://doi.org/10.1109/punecon63413.2024.10894827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/punecon63413.2024.10894827","pdf_url":null,"source":{"id":"https://openalex.org/S7407088372","display_name":"IEEE Pune Section International Conference (PuneCon)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2024 IEEE Pune Section International Conference (PuneCon)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W616265438","https://openalex.org/W2015811642","https://openalex.org/W2559394418","https://openalex.org/W2736592352","https://openalex.org/W2888774813","https://openalex.org/W2944469918","https://openalex.org/W4213153631","https://openalex.org/W4296126438","https://openalex.org/W4319081409","https://openalex.org/W4400259390"],"related_works":["https://openalex.org/W2154693897","https://openalex.org/W104621197","https://openalex.org/W2094988397","https://openalex.org/W2018164323","https://openalex.org/W2018596126","https://openalex.org/W4242950359","https://openalex.org/W2083580028","https://openalex.org/W1980535114","https://openalex.org/W2063706985","https://openalex.org/W4233766581"],"abstract_inverted_index":{"The":[0,26],"importance":[1],"of":[2,22,33,108,141],"cyber":[3],"security":[4],"postures":[5],"in":[6,29,117],"various":[7],"information":[8],"technology":[9,13],"(IT)":[10],"or":[11],"operations":[12],"(OT)":[14],"environments":[15],"cannot":[16],"be":[17,36],"overstated,":[18],"considering":[19],"the":[20,23,30,81,96,109,118],"significance":[21],"cyber-physical":[24],"system.":[25],"escalating":[27],"risks":[28],"intricate":[31],"realm":[32],"cyberspace":[34],"must":[35],"immediately":[37],"evaluated,":[38],"given":[39],"their":[40],"potential":[41],"to":[42,53,58,115,124],"inflict":[43],"significant":[44,51],"harm.":[45],"Although":[46],"machine":[47,72],"learning":[48,73],"has":[49],"made":[50],"progress":[52],"date,":[54],"it":[55],"is":[56,74,101,111],"crucial":[57],"acknowledge":[59],"that":[60],"future":[61],"cyberattacks":[62],"will":[63],"likely":[64],"become":[65],"more":[66],"sophisticated.":[67],"In":[68],"this":[69],"context,":[70],"quantum":[71,129],"a":[75,93,102,134,142],"clear":[76],"and":[77,98,126],"logical":[78],"choice":[79],"for":[80,91,138],"future.":[82],"However,":[83],"are":[84],"available":[85],"resources":[86],"ideally":[87],"open-source":[88],"sufficient":[89],"enough":[90],"finding":[92],"trade-off":[94],"between":[95],"accuracy":[97],"computation":[99],"time":[100],"curious":[103],"query":[104],"worth":[105],"contemplating.":[106],"Size":[107],"dataset":[110,143],"also":[112],"another":[113],"factor":[114],"include":[116],"wondering":[119],"space.":[120],"This":[121],"research":[122],"aims":[123],"evaluate":[125],"compare":[127],"several":[128],"supervised":[130],"classification":[131,140],"techniques":[132],"with":[133],"conventional":[135],"traditional":[136],"method":[137],"binary":[139],"containing":[144],"harmful":[145],"sensor":[146],"data.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2025-10-10T00:00:00"}