{"id":"https://openalex.org/W2166045937","doi":"https://doi.org/10.1109/isvdat.2014.6881059","title":"Power analysis attack using neural networks with wavelet transform as pre-processor","display_name":"Power analysis attack using neural networks with wavelet transform as pre-processor","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2166045937","doi":"https://doi.org/10.1109/isvdat.2014.6881059","mag":"2166045937"},"language":"en","primary_location":{"id":"doi:10.1109/isvdat.2014.6881059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isvdat.2014.6881059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th International Symposium on VLSI Design and Test","raw_type":"proceedings-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":null,"display_name":"P. Saravanan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109528","display_name":"PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH","ror":"https://ror.org/01sa9ng67","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109528"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"P. Saravanan","raw_affiliation_strings":["Department of Electronics and Communication Engineering, PSG College of Technology, Coimbatore, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, PSG College of Technology, Coimbatore, India","institution_ids":["https://openalex.org/I4210109528"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101893997","display_name":"P. Kalpana","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109528","display_name":"PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH","ror":"https://ror.org/01sa9ng67","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109528"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Kalpana","raw_affiliation_strings":["Department of Electronics and Communication Engineering, PSG College of Technology, Coimbatore, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, PSG College of Technology, Coimbatore, India","institution_ids":["https://openalex.org/I4210109528"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091293966","display_name":"V. Preethisri","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V. Preethisri","raw_affiliation_strings":["PSG College of Technology, Coimbatore, Tamil Nadu, IN"],"affiliations":[{"raw_affiliation_string":"PSG College of Technology, Coimbatore, Tamil Nadu, IN","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113885340","display_name":"V. Sneha","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109528","display_name":"PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH","ror":"https://ror.org/01sa9ng67","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109528"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V. Sneha","raw_affiliation_strings":["Department of Electronics and Communication Engineering, PSG College of Technology, Coimbatore, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, PSG College of Technology, Coimbatore, India","institution_ids":["https://openalex.org/I4210109528"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210109528"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.12217215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"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/T10951","display_name":"Cryptographic Implementations and Security","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9983000159263611,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9976000189781189,"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/computer-science","display_name":"Computer science","score":0.7654959559440613},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.7645552754402161},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7412848472595215},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5507661700248718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5486637949943542},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5414140224456787},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.519163966178894},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5028054714202881},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.4890078008174896},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.47586220502853394},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.4427284896373749},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.43450629711151123},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.42387065291404724},{"id":"https://openalex.org/keywords/lifting-scheme","display_name":"Lifting scheme","score":0.41545552015304565},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39283987879753113},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33573463559150696},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3338204026222229},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22778236865997314}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7654959559440613},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.7645552754402161},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7412848472595215},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5507661700248718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5486637949943542},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5414140224456787},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.519163966178894},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5028054714202881},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.4890078008174896},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.47586220502853394},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.4427284896373749},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.43450629711151123},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.42387065291404724},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.41545552015304565},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39283987879753113},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33573463559150696},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3338204026222229},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22778236865997314},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isvdat.2014.6881059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isvdat.2014.6881059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th International Symposium on VLSI Design and Test","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1511843316","https://openalex.org/W1562542037","https://openalex.org/W1583090871","https://openalex.org/W1613874182","https://openalex.org/W1724890242","https://openalex.org/W1902539741","https://openalex.org/W1986741241","https://openalex.org/W1986905989","https://openalex.org/W2008071701","https://openalex.org/W2050594427","https://openalex.org/W2090446526","https://openalex.org/W2113302326","https://openalex.org/W2154909745","https://openalex.org/W2167720990","https://openalex.org/W2478207761","https://openalex.org/W2498922842","https://openalex.org/W2602337255","https://openalex.org/W4285719527","https://openalex.org/W6630620868","https://openalex.org/W6633579635","https://openalex.org/W6634691088","https://openalex.org/W6636388380","https://openalex.org/W6647165594","https://openalex.org/W7038962406"],"related_works":["https://openalex.org/W1588899229","https://openalex.org/W2085792030","https://openalex.org/W68308810","https://openalex.org/W1506615375","https://openalex.org/W2144408025","https://openalex.org/W1967182499","https://openalex.org/W2358271565","https://openalex.org/W1917032666","https://openalex.org/W2205192157","https://openalex.org/W2060489042"],"abstract_inverted_index":{"This":[0],"work":[1],"proposes":[2],"a":[3,19],"novel":[4],"methodology":[5,28],"to":[6,78,93,105],"perform":[7],"power":[8,35],"analysis":[9,65],"attack":[10],"on":[11],"secure":[12],"system":[13],"by":[14,22,45,56,72],"using":[15,57],"wavelet":[16,58,88],"transform":[17],"as":[18],"pre-processor":[20,74],"followed":[21],"machine":[23,109],"learning":[24,85,110],"technique.":[25],"The":[26,34,67],"proposed":[27],"uses":[29],"known":[30],"plain":[31],"text":[32],"attack.":[33],"supply":[36],"current":[37,52],"traces":[38,53],"from":[39],"the":[40,47,51,73,80,100],"cryptographic":[41],"device":[42],"are":[43,54,75,91],"obtained":[44],"varying":[46],"atmospheric":[48],"temperature.":[49],"Then":[50],"pre-processed":[55],"transform,":[59],"data":[60,69],"normalization":[61],"and":[62,87],"principal":[63],"component":[64],"(PCA).":[66],"featured":[68],"samples":[70],"selected":[71],"then":[76],"used":[77],"train":[79],"neural":[81],"network.":[82],"Through":[83],"supervised":[84],"algorithm":[86],"pre-processing,":[89],"we":[90],"able":[92],"achieve":[94],"around":[95],"25%":[96],"improvement":[97],"in":[98],"guessing":[99],"secret":[101],"key":[102],"when":[103],"compared":[104],"existing":[106],"method":[107],"of":[108],"alone.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}