{"id":"https://openalex.org/W2580286248","doi":"https://doi.org/10.1145/2997653","title":"Sensor Network Provenance Compression Using Dynamic Bayesian Networks","display_name":"Sensor Network Provenance Compression Using Dynamic Bayesian Networks","publication_year":2017,"publication_date":"2017-01-26","ids":{"openalex":"https://openalex.org/W2580286248","doi":"https://doi.org/10.1145/2997653","mag":"2580286248"},"language":"en","primary_location":{"id":"doi:10.1145/2997653","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2997653","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Sensor Networks","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/A5091010279","display_name":"Changda Wang","orcid":"https://orcid.org/0000-0002-7024-4559"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changda Wang","raw_affiliation_strings":["Jiangsu University, Zhenjiang"],"affiliations":[{"raw_affiliation_string":"Jiangsu University, Zhenjiang","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061694501","display_name":"Elisa Bertino","orcid":"https://orcid.org/0000-0002-4029-7051"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elisa Bertino","raw_affiliation_strings":["Purdue University, West Lafayette, IN"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091010279"],"corresponding_institution_ids":["https://openalex.org/I115592961"],"apc_list":null,"apc_paid":null,"fwci":10.7501,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.97841438,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"13","issue":"1","first_page":"1","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9819999933242798,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9750999808311462,"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/provenance","display_name":"Provenance","score":0.877545177936554},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.786109209060669},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6556941270828247},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.6547653675079346},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5411670804023743},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5350915193557739},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.41059380769729614},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4101463556289673},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3381343483924866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12447765469551086},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08763208985328674}],"concepts":[{"id":"https://openalex.org/C2780049196","wikidata":"https://www.wikidata.org/wiki/Q23582628","display_name":"Provenance","level":2,"score":0.877545177936554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.786109209060669},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6556941270828247},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.6547653675079346},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5411670804023743},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5350915193557739},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.41059380769729614},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4101463556289673},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3381343483924866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12447765469551086},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08763208985328674},{"id":"https://openalex.org/C5900021","wikidata":"https://www.wikidata.org/wiki/Q163082","display_name":"Petrology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2997653","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2997653","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Sensor Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[{"id":"https://openalex.org/G2498084483","display_name":null,"funder_award_id":"61672269","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G319680810","display_name":null,"funder_award_id":"CNS-1111512 and CICI-1547358","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1559155956","https://openalex.org/W1575826986","https://openalex.org/W1974374149","https://openalex.org/W1974717499","https://openalex.org/W1991976017","https://openalex.org/W1995669384","https://openalex.org/W2011385035","https://openalex.org/W2014961373","https://openalex.org/W2028785128","https://openalex.org/W2032642638","https://openalex.org/W2096406470","https://openalex.org/W2107745473","https://openalex.org/W2122777736","https://openalex.org/W2122962290","https://openalex.org/W2129652681","https://openalex.org/W2134537508","https://openalex.org/W2137012911","https://openalex.org/W2147285985","https://openalex.org/W2147820600","https://openalex.org/W2151634152","https://openalex.org/W2152851525","https://openalex.org/W2160126984","https://openalex.org/W2167396179","https://openalex.org/W2168237657","https://openalex.org/W4248301666","https://openalex.org/W4401384015"],"related_works":["https://openalex.org/W2078600672","https://openalex.org/W2000450205","https://openalex.org/W2611314012","https://openalex.org/W185677139","https://openalex.org/W1527192899","https://openalex.org/W17611330","https://openalex.org/W2111277886","https://openalex.org/W1993766952","https://openalex.org/W2038592428","https://openalex.org/W2583186716"],"abstract_inverted_index":{"Provenance":[0],"records":[1],"the":[2,23,74,77,86,97,101,104,111],"history":[3],"of":[4,25,39,66,76,88,103],"data":[5,26],"acquisition":[6],"and":[7,28,35,129,143,162],"transmission.":[8],"In":[9,114],"wireless":[10],"sensor":[11],"networks":[12],"(WSNs),":[13],"provenance":[14,46,61,69,78,105,121,155,160],"is":[15,49,53,72,93],"critical":[16,55],"for":[17,47,60],"many":[18],"different":[19],"purposes,":[20],"including":[21],"assessing":[22],"trustworthiness":[24],"acquired":[27],"forwarded":[29],"by":[30],"sensors,":[31],"supporting":[32],"situation":[33],"awareness,":[34],"detecting":[36],"early":[37],"signs":[38],"attacks.":[40],"However,":[41],"a":[42,119],"major":[43,64],"drawback":[44],"in":[45,85,110],"WSNs":[48],"its":[50],"size.":[51],"It":[52],"thus":[54],"to":[56,96,159],"develop":[57],"efficient":[58],"techniques":[59,71],"encoding.":[62],"A":[63],"issue":[65],"previously":[67],"proposed":[68],"encoding":[70,122],"that":[73,148],"size":[75,102,161],"either":[79],"expands":[80,106],"too":[81],"fast":[82],"with":[83,108,157],"increases":[84],"number":[87],"packet":[89],"transmission":[90],"hops":[91],"or":[92],"very":[94],"sensitive":[95],"WSN\u2019s":[98,112],"topology,":[99],"i.e.,":[100],"drastically":[107],"changes":[109],"topology.":[113],"this":[115],"article,":[116],"we":[117,146],"propose":[118],"novel":[120],"technique":[123],"based":[124],"on":[125],"dynamic":[126],"Bayesian":[127],"network":[128],"overlapped":[130],"arithmetic":[131],"coding":[132],"scheme,":[133],"which":[134],"addresses":[135],"such":[136],"an":[137],"issue.":[138],"Through":[139],"theoretical":[140],"analysis,":[141],"simulation,":[142],"testbed":[144],"experiments,":[145],"show":[147],"our":[149],"scheme":[150],"outperforms":[151],"other":[152],"WSN":[153],"lightweight":[154],"schemes":[156],"respect":[158],"energy":[163],"consumption.":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
