{"id":"https://openalex.org/W4399487265","doi":"https://doi.org/10.1145/3649476.3658791","title":"RACSen: Residue Arithmetic and Chaotic Processing in Sensors to Enhance CMOS Imager Security","display_name":"RACSen: Residue Arithmetic and Chaotic Processing in Sensors to Enhance CMOS Imager Security","publication_year":2024,"publication_date":"2024-06-10","ids":{"openalex":"https://openalex.org/W4399487265","doi":"https://doi.org/10.1145/3649476.3658791"},"language":"en","primary_location":{"id":"doi:10.1145/3649476.3658791","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3649476.3658791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Great Lakes Symposium on VLSI 2024","raw_type":"proceedings-article"},"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/A5014997518","display_name":"Sepehr Tabrizchi","orcid":"https://orcid.org/0000-0001-5105-3450"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sepehr Tabrizchi","raw_affiliation_strings":["School of Computing, University of Nebraska-Lincoln, USA"],"raw_orcid":"https://orcid.org/0000-0001-5105-3450","affiliations":[{"raw_affiliation_string":"School of Computing, University of Nebraska-Lincoln, USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084583232","display_name":"Nedasadat Taheri","orcid":"https://orcid.org/0009-0009-8946-9115"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nedasadat Taheri","raw_affiliation_strings":["University of Nebraska-Lincoln, USA"],"raw_orcid":"https://orcid.org/0009-0009-8946-9115","affiliations":[{"raw_affiliation_string":"University of Nebraska-Lincoln, USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051680668","display_name":"Shaahin Angizi","orcid":"https://orcid.org/0000-0003-2289-6381"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaahin Angizi","raw_affiliation_strings":["New Jersey Institute of Technology, USA"],"raw_orcid":"https://orcid.org/0000-0003-2289-6381","affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077392159","display_name":"Arman Roohi","orcid":"https://orcid.org/0000-0002-0900-8768"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arman Roohi","raw_affiliation_strings":["School of Computing, University of Nebraska - Lincoln, USA"],"raw_orcid":"https://orcid.org/0000-0002-0900-8768","affiliations":[{"raw_affiliation_string":"School of Computing, University of Nebraska - Lincoln, USA","institution_ids":["https://openalex.org/I114395901"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7888,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75859381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"551","last_page":"555"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10951","display_name":"Cryptographic Implementations and Security","score":0.9973999857902527,"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":0.996999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6100565195083618},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.5474170446395874},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.512372612953186},{"id":"https://openalex.org/keywords/residue","display_name":"Residue (chemistry)","score":0.49600133299827576},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.49486416578292847},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3401687443256378},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.273634135723114},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.2265058159828186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1973959505558014},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16530472040176392}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6100565195083618},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.5474170446395874},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.512372612953186},{"id":"https://openalex.org/C2781338088","wikidata":"https://www.wikidata.org/wiki/Q903495","display_name":"Residue (chemistry)","level":2,"score":0.49600133299827576},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.49486416578292847},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3401687443256378},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.273634135723114},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.2265058159828186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1973959505558014},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16530472040176392},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3649476.3658791","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3649476.3658791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Great Lakes Symposium on VLSI 2024","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8885186903","display_name":null,"funder_award_id":"2216772, 2216773, 2247156, and 2303114","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W659101848","https://openalex.org/W2554091707","https://openalex.org/W2809721476","https://openalex.org/W2903661981","https://openalex.org/W2952974476","https://openalex.org/W2960192691","https://openalex.org/W2976312935","https://openalex.org/W2992880692","https://openalex.org/W2999464718","https://openalex.org/W3040218957","https://openalex.org/W3041127615","https://openalex.org/W3043315271","https://openalex.org/W3169045385","https://openalex.org/W3215715978","https://openalex.org/W4312606042","https://openalex.org/W4392654843"],"related_works":["https://openalex.org/W3014521742","https://openalex.org/W2617868873","https://openalex.org/W3204141294","https://openalex.org/W4386230336","https://openalex.org/W4306968100","https://openalex.org/W2171986175","https://openalex.org/W2089791793","https://openalex.org/W2038858740","https://openalex.org/W1491218245","https://openalex.org/W2562383580"],"abstract_inverted_index":{"The":[0],"widespread":[1],"adoption":[2],"of":[3,29,39,86,92,103],"vision":[4],"sensors":[5],"raises":[6],"significant":[7],"security":[8,26,63],"and":[9,27,68,73,88],"privacy":[10],"concerns.":[11],"In":[12],"this":[13],"paper,":[14],"we":[15],"present":[16],"RACSen":[17,33],"as":[18],"a":[19,51,81],"novel":[20],"architecture":[21],"that":[22],"can":[23],"increase":[24],"the":[25,35,40],"efficiency":[28],"conventional":[30],"image":[31,97],"sensors.":[32],"leverages":[34],"intricate":[36],"mathematical":[37],"properties":[38],"residue":[41],"number":[42],"system":[43],"(RNS)":[44],"with":[45,80,100],"analog":[46],"scrambling":[47],"techniques":[48],"to":[49],"create":[50],"sophisticated":[52],"dual-layered":[53],"encryption":[54],"mechanism.":[55],"Incorporating":[56],"RNS":[57],"within":[58],"analog-to-digital":[59],"converters":[60],"further":[61],"strengthens":[62],"by":[64],"mitigating":[65],"replay":[66],"attacks":[67],"preserving":[69],"data":[70,98],"transmission":[71],"integrity":[72],"confidentiality.":[74],"Our":[75],"results":[76],"demonstrate":[77],"exceptional":[78],"encryption,":[79],"perfect":[82],"pixel":[83],"change":[84,91],"rate":[85],"99.90":[87],"high":[89],"intensity":[90],"45.77.":[93],"This":[94],"offers":[95],"robust":[96],"protection":[99],"minimal":[101],"overhead":[102],"11.11%.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}