{"id":"https://openalex.org/W2164876968","doi":"https://doi.org/10.1109/wcnc.2003.1200426","title":"Physical-layer secrecy with DS/SS from piecewise linear chaotic Markov maps: analysis and design","display_name":"Physical-layer secrecy with DS/SS from piecewise linear chaotic Markov maps: analysis and design","publication_year":2004,"publication_date":"2004-01-24","ids":{"openalex":"https://openalex.org/W2164876968","doi":"https://doi.org/10.1109/wcnc.2003.1200426","mag":"2164876968"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc.2003.1200426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2003.1200426","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003.","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":"https://openalex.org/A5054168848","display_name":"Yongsun Hwang","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yongsun Hwang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008815275","display_name":"Harris Papadopoulos","orcid":"https://orcid.org/0000-0002-6839-6940"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H.C. Papadopoulos","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054168848"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":0.2733,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62896192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"642","last_page":"647"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9998000264167786,"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":0.9998000264167786,"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/T12162","display_name":"Cellular Automata and Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10244","display_name":"Chaos control and synchronization","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.7728214263916016},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6285423040390015},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.5578135251998901},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5161669850349426},{"id":"https://openalex.org/keywords/piecewise-linear-function","display_name":"Piecewise linear function","score":0.5124366879463196},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4989964962005615},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4811912178993225},{"id":"https://openalex.org/keywords/cyclostationary-process","display_name":"Cyclostationary process","score":0.4744121730327606},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.4246808588504791},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4112357795238495},{"id":"https://openalex.org/keywords/secrecy","display_name":"Secrecy","score":0.41024741530418396},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3372201919555664},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.28273141384124756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14862766861915588},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08955290913581848},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.08337172865867615}],"concepts":[{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.7728214263916016},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6285423040390015},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5578135251998901},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5161669850349426},{"id":"https://openalex.org/C17095337","wikidata":"https://www.wikidata.org/wiki/Q2375229","display_name":"Piecewise linear function","level":2,"score":0.5124366879463196},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4989964962005615},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4811912178993225},{"id":"https://openalex.org/C178351263","wikidata":"https://www.wikidata.org/wiki/Q3922399","display_name":"Cyclostationary process","level":3,"score":0.4744121730327606},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.4246808588504791},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4112357795238495},{"id":"https://openalex.org/C2776452267","wikidata":"https://www.wikidata.org/wiki/Q1503443","display_name":"Secrecy","level":2,"score":0.41024741530418396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3372201919555664},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.28273141384124756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14862766861915588},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08955290913581848},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.08337172865867615},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc.2003.1200426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2003.1200426","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003.","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":4,"referenced_works":["https://openalex.org/W2096509667","https://openalex.org/W2099503269","https://openalex.org/W2113619583","https://openalex.org/W2161979629"],"related_works":["https://openalex.org/W943561131","https://openalex.org/W1490820195","https://openalex.org/W2360821999","https://openalex.org/W2364216765","https://openalex.org/W2533983735","https://openalex.org/W2002970502","https://openalex.org/W2363371188","https://openalex.org/W2358225852","https://openalex.org/W2492622281","https://openalex.org/W3036090979"],"abstract_inverted_index":{"We":[0,40,104],"study":[1],"a":[2,19,26,35,140],"class":[3],"of":[4,46,64,80,90,112,123,143],"pseudo-chaotic":[5],"spread":[6],"spectrum":[7],"systems":[8],"for":[9,135],"secure":[10],"communication":[11],"over":[12],"additive":[13],"white":[14],"Gaussian":[15],"noise":[16,92],"channels,":[17],"whereby":[18],"symbol":[20],"stream":[21],"is":[22],"linearly":[23],"modulated":[24],"on":[25,83,107],"sequence":[27],"generated":[28],"by":[29,51],"iterating":[30],"an":[31],"initial":[32,57,75,84],"condition":[33],"through":[34],"suitably":[36],"chosen":[37],"chaotic":[38,81,125],"map.":[39],"compare":[41],"the":[42,56,60,69,74,88,108,118,124,129],"optimal":[43],"uncoded":[44],"probability":[45],"error":[47],"(Pr(/spl":[48],"epsi/))":[49],"attainable":[50],"intended":[52,102,113],"receivers":[53,66],"that":[54,67,127,138],"know":[55,68],"condition,":[58],"to":[59,96,101],"associated":[61],"Pr(/spl":[62,98,110],"epsi/)":[63,99],"unintended":[65,115],"modulation":[70],"scheme":[71],"but":[72],"not":[73],"condition.":[76],"The":[77],"sensitive":[78],"dependence":[79],"sequences":[82],"conditions":[85],"together":[86],"with":[87],"presence":[89],"channel":[91],"can":[93],"be":[94],"exploited":[95],"provide":[97],"benefits":[100,131],"receivers.":[103,116],"develop":[105,133],"bounds":[106],"best":[109],"epsi/)performance":[111],"and":[114,132],"In":[117],"process,":[119],"we":[120],"identify":[121],"properties":[122],"maps":[126,137],"affect":[128],"secrecy":[130],"methods":[134],"designing":[136],"meet":[139],"required":[141],"level":[142],"secrecy.":[144]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
