{"id":"https://openalex.org/W2891096486","doi":"https://doi.org/10.3390/computers7040063","title":"Trustworthiness of Dynamic Moving Sensors for Secure Mobile Edge Computing","display_name":"Trustworthiness of Dynamic Moving Sensors for Secure Mobile Edge Computing","publication_year":2018,"publication_date":"2018-11-16","ids":{"openalex":"https://openalex.org/W2891096486","doi":"https://doi.org/10.3390/computers7040063","mag":"2891096486"},"language":"en","primary_location":{"id":"doi:10.3390/computers7040063","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers7040063","pdf_url":"https://www.mdpi.com/2073-431X/7/4/63/pdf?version=1542361681","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-431X/7/4/63/pdf?version=1542361681","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064830250","display_name":"John Yoon","orcid":null},"institutions":[{"id":"https://openalex.org/I125924841","display_name":"Mercy University","ror":"https://ror.org/02s99ck98","country_code":"US","type":"education","lineage":["https://openalex.org/I125924841"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"John Yoon","raw_affiliation_strings":["Math/Computer Science Department, Mercy College, New York, NY 10522, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Math/Computer Science Department, Mercy College, New York, NY 10522, USA","institution_ids":["https://openalex.org/I125924841"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5064830250"],"corresponding_institution_ids":["https://openalex.org/I125924841"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.4914,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73340676,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":"4","first_page":"63","last_page":"63"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9991000294685364,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9991000294685364,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987999796867371,"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":0.9983000159263611,"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/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7907915711402893},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7562733888626099},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6044901013374329},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5728034973144531},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5690150856971741},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5465192794799805},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.5116724967956543},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.5083398222923279},{"id":"https://openalex.org/keywords/sensor-web","display_name":"Sensor web","score":0.45276063680648804},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4459607005119324},{"id":"https://openalex.org/keywords/visual-sensor-network","display_name":"Visual sensor network","score":0.4383047819137573},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.41293489933013916},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3883602023124695},{"id":"https://openalex.org/keywords/key-distribution-in-wireless-sensor-networks","display_name":"Key distribution in wireless sensor networks","score":0.3463296890258789},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29729780554771423},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.2694430947303772},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2521144151687622},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.17336884140968323},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.16856446862220764}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7907915711402893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7562733888626099},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6044901013374329},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5728034973144531},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5690150856971741},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5465192794799805},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.5116724967956543},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.5083398222923279},{"id":"https://openalex.org/C200593801","wikidata":"https://www.wikidata.org/wiki/Q7451089","display_name":"Sensor web","level":5,"score":0.45276063680648804},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4459607005119324},{"id":"https://openalex.org/C149102469","wikidata":"https://www.wikidata.org/wiki/Q7936624","display_name":"Visual sensor network","level":5,"score":0.4383047819137573},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.41293489933013916},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3883602023124695},{"id":"https://openalex.org/C41971633","wikidata":"https://www.wikidata.org/wiki/Q6398155","display_name":"Key distribution in wireless sensor networks","level":4,"score":0.3463296890258789},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29729780554771423},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2694430947303772},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2521144151687622},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.17336884140968323},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.16856446862220764},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/computers7040063","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers7040063","pdf_url":"https://www.mdpi.com/2073-431X/7/4/63/pdf?version=1542361681","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6a7494c4949a4fcb94b22f1ebc53bc85","is_oa":true,"landing_page_url":"https://doaj.org/article/6a7494c4949a4fcb94b22f1ebc53bc85","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computers, Vol 7, Iss 4, p 63 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-431X/7/4/63/","is_oa":true,"landing_page_url":"http://doi.org/10.3390/computers7040063","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computers","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/computers7040063","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers7040063","pdf_url":"https://www.mdpi.com/2073-431X/7/4/63/pdf?version=1542361681","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2891096486.pdf","grobid_xml":"https://content.openalex.org/works/W2891096486.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W2014882327","https://openalex.org/W2050452690","https://openalex.org/W2063615602","https://openalex.org/W2092667369","https://openalex.org/W2135874496","https://openalex.org/W2147510930","https://openalex.org/W2341844252","https://openalex.org/W2527459892","https://openalex.org/W2587425863","https://openalex.org/W2604643611","https://openalex.org/W2612219988","https://openalex.org/W2760047100","https://openalex.org/W2784171270","https://openalex.org/W2791328896","https://openalex.org/W2798403427","https://openalex.org/W2799114782","https://openalex.org/W2810361442","https://openalex.org/W2953302785"],"related_works":["https://openalex.org/W2246872454","https://openalex.org/W2295628284","https://openalex.org/W1949860804","https://openalex.org/W2184618175","https://openalex.org/W2289427585","https://openalex.org/W2525537297","https://openalex.org/W1502931489","https://openalex.org/W2018100333","https://openalex.org/W1992915770","https://openalex.org/W2159671179"],"abstract_inverted_index":{"Wireless":[0],"sensor":[1,22,54,74,103,117,121,146,182,188],"network":[2],"is":[3,89,98,123],"an":[4,99,112],"emerging":[5],"technology,":[6],"and":[7,53,62,93,209],"the":[8,16,29,43,46,71,84,94,139,145],"collaboration":[9],"of":[10,15,31,48,87,96,106,141,174,181,196,213],"wireless":[11],"sensors":[12,25,49,88,97,108,142,153,163,222],"becomes":[13],"one":[14],"active":[17],"research":[18,61],"areas":[19],"for":[20,70,184],"utilizing":[21],"data.":[23],"Various":[24],"collaborate":[26],"to":[27,35,126,137,159,165,192],"recognize":[28],"changes":[30,206],"a":[32,90,134,169],"target":[33],"environment,":[34],"identify,":[36],"if":[37],"any":[38],"radical":[39],"change":[40],"occurs.":[41],"For":[42],"accuracy":[44],"improvement,":[45],"calibration":[47],"has":[50],"been":[51],"discussed,":[52],"data":[55,104,147,183,189],"analytics":[56,105],"are":[57,66,76,190,200,223],"becoming":[58],"popular":[59],"in":[60,111,207],"development.":[63],"However,":[64],"they":[65,199],"not":[67,124],"satisfactorily":[68],"efficient":[69],"situations":[72],"where":[73],"devices":[75],"dynamically":[77,128,214],"moving,":[78],"abruptly":[79],"appearing,":[80],"or":[81,119,164,203],"disappearing.":[82],"If":[83],"abrupt":[85,205],"appearance":[86],"zero-day":[91],"attack,":[92],"disappearance":[95],"ill-functioning":[100],"comrade,":[101],"then":[102],"untrusted":[107],"will":[109],"result":[110],"indecisive":[113],"artifact.":[114],"The":[115,149,172,187],"predefined":[116],"requirements":[118],"meta-data-based":[120],"verification":[122,151,212],"adaptive":[125],"identify":[127,193],"moving":[129,215],"sensors.":[130],"This":[131],"paper":[132,176],"describes":[133],"deep-learning":[135,227],"approach":[136],"verify":[138],"trustworthiness":[140],"by":[143,226],"considering":[144],"only.":[148],"proposed":[150],"on":[152],"can":[154],"be":[155],"done":[156],"without":[157],"having":[158],"use":[160],"meta-data":[161],"about":[162],"request":[166],"consultation":[167],"from":[168],"cloud":[170],"server.":[171],"contribution":[173],"this":[175],"includes":[177],"(1)":[178],"quality":[179],"preservation":[180],"mining":[185],"analytics.":[186],"trained":[191],"their":[194],"characteristics":[195],"outliers:":[197],"whether":[198],"attack":[201],"outliers,":[202],"outlier-like":[204],"environments;":[208],"(2)":[210],"authenticity":[211],"sensors,":[216],"which":[217],"was":[218],"possible.":[219],"Previous":[220],"unknown":[221],"also":[224],"identified":[225],"approach.":[228]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
