{"id":"https://openalex.org/W3041162515","doi":"https://doi.org/10.1155/2020/8873639","title":"Spam Detection Approach for Secure Mobile Message Communication Using Machine Learning Algorithms","display_name":"Spam Detection Approach for Secure Mobile Message Communication Using Machine Learning Algorithms","publication_year":2020,"publication_date":"2020-07-09","ids":{"openalex":"https://openalex.org/W3041162515","doi":"https://doi.org/10.1155/2020/8873639","mag":"3041162515"},"language":"en","primary_location":{"id":"doi:10.1155/2020/8873639","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8873639","pdf_url":"https://downloads.hindawi.com/journals/scn/2020/8873639.pdf","source":{"id":"https://openalex.org/S120683614","display_name":"Security and Communication Networks","issn_l":"1939-0114","issn":["1939-0114","1939-0122"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Security and Communication Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/scn/2020/8873639.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056185286","display_name":"Luo Guang-jun","orcid":"https://orcid.org/0000-0001-9414-9137"},"institutions":[{"id":"https://openalex.org/I4210118093","display_name":"Xianyang Normal University","ror":"https://ror.org/01r45yt97","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210118093"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Luo GuangJun","raw_affiliation_strings":["Education Science Department, Xianyang Normal University, Xianyang, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Education Science Department, Xianyang Normal University, Xianyang, Shaanxi, China","institution_ids":["https://openalex.org/I4210118093"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020009700","display_name":"Shah Nazir","orcid":"https://orcid.org/0000-0003-0126-9944"},"institutions":[{"id":"https://openalex.org/I4210142599","display_name":"University of Swabi","ror":"https://ror.org/04ez8az68","country_code":"PK","type":"education","lineage":["https://openalex.org/I4210142599"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Shah Nazir","raw_affiliation_strings":["Department of Computer Science, University of Swabi, Swabi, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Swabi, Swabi, Pakistan","institution_ids":["https://openalex.org/I4210142599"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091086588","display_name":"Habib Ullah Khan","orcid":"https://orcid.org/0000-0001-8373-2781"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Habib Ullah Khan","raw_affiliation_strings":["Department of Accounting & Information Systems, College of Business & Economics, Qatar University, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Department of Accounting & Information Systems, College of Business & Economics, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058835260","display_name":"Amin Ul Haq","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Amin Ul Haq","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 61173, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 61173, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056185286"],"corresponding_institution_ids":["https://openalex.org/I4210118093"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":13.5187,"has_fulltext":true,"cited_by_count":69,"citation_normalized_percentile":{"value":0.98722068,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9866999983787537,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.9006574749946594},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.7283933162689209},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6445063352584839},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5802907347679138},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5154696106910706},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47453510761260986},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.43921053409576416},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4253816604614258},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42481741309165955},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3496274948120117},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07418206334114075}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9006574749946594},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7283933162689209},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6445063352584839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5802907347679138},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5154696106910706},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47453510761260986},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.43921053409576416},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4253816604614258},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42481741309165955},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3496274948120117},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07418206334114075},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2020/8873639","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8873639","pdf_url":"https://downloads.hindawi.com/journals/scn/2020/8873639.pdf","source":{"id":"https://openalex.org/S120683614","display_name":"Security and Communication Networks","issn_l":"1939-0114","issn":["1939-0114","1939-0122"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Security and Communication Networks","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5a50896903a044a49738ce07ccdb80f4","is_oa":true,"landing_page_url":"https://doaj.org/article/5a50896903a044a49738ce07ccdb80f4","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Security and Communication Networks, Vol 2020 (2020)","raw_type":"article"},{"id":"pmh:oai:qspace.qu.edu.qa:10576/37774","is_oa":false,"landing_page_url":"https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85089149424&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306400014","display_name":"Qatar University QSpace (Qatar University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60342839","host_organization_name":"Qatar University","host_organization_lineage":["https://openalex.org/I60342839"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1155/2020/8873639","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8873639","pdf_url":"https://downloads.hindawi.com/journals/scn/2020/8873639.pdf","source":{"id":"https://openalex.org/S120683614","display_name":"Security and Communication Networks","issn_l":"1939-0114","issn":["1939-0114","1939-0122"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Security and Communication Networks","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G7083940050","display_name":null,"funder_award_id":"DCA190332","funder_id":"https://openalex.org/F4320321106","funder_display_name":"Ministry of Education of the People's Republic of China"}],"funders":[{"id":"https://openalex.org/F4320321106","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3041162515.pdf","grobid_xml":"https://content.openalex.org/works/W3041162515.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1484485089","https://openalex.org/W1965961515","https://openalex.org/W1984218333","https://openalex.org/W2010836425","https://openalex.org/W2114048520","https://openalex.org/W2142827986","https://openalex.org/W2149206332","https://openalex.org/W2166490929","https://openalex.org/W2404849474","https://openalex.org/W2576019974","https://openalex.org/W2594590543","https://openalex.org/W2599737060","https://openalex.org/W2620415843","https://openalex.org/W2774353014","https://openalex.org/W2783033852","https://openalex.org/W2793804413","https://openalex.org/W2804836751","https://openalex.org/W2903099708","https://openalex.org/W2922842086","https://openalex.org/W2923014022","https://openalex.org/W2953236426","https://openalex.org/W2962777114","https://openalex.org/W2971852873","https://openalex.org/W2972759136"],"related_works":["https://openalex.org/W4394984040","https://openalex.org/W4366990902","https://openalex.org/W4388550696","https://openalex.org/W4321636153","https://openalex.org/W4313289487","https://openalex.org/W4384470695","https://openalex.org/W3134840015","https://openalex.org/W4366979180","https://openalex.org/W4401361218","https://openalex.org/W2034680797"],"abstract_inverted_index":{"The":[0,85,97,110],"spam":[1,35,48,79,87],"detection":[2,49],"is":[3,17,30,91,99,122,144],"a":[4,134],"big":[5],"issue":[6],"in":[7,36,81],"mobile":[8,14,37,82],"message":[9,15,38],"communication":[10,16],"due":[11],"to":[12,21,32],"which":[13],"insecure.":[18],"In":[19,54],"order":[20],"tackle":[22],"this":[23,55],"problem,":[24],"an":[25],"accurate":[26,52],"and":[27,68,78,106,128,130],"precise":[28],"method":[29,50,142],"needed":[31],"detect":[33],"the":[34,42,45,95,108,113,117,131,140,149],"communication.":[39,84],"We":[40],"proposed":[41,141],"applications":[43],"of":[44,76,112,120,137],"machine":[46,57],"learning-based":[47],"for":[51,74,93,104],"detection.":[53],"technique,":[56],"learning":[58],"classifiers":[59],"such":[60],"as":[61,124,146],"Logistic":[62],"regression":[63],"(LR),":[64],"K-nearest":[65],"neighbor":[66],"(K-NN),":[67],"decision":[69],"tree":[70],"(DT)":[71],"are":[72],"used":[73,92],"classification":[75,118],"ham":[77],"messages":[80],"device":[83],"SMS":[86],"collection":[88],"data":[89],"set":[90],"testing":[94,107],"method.":[96],"dataset":[98],"split":[100],"into":[101],"two":[102],"categories":[103],"training":[105],"research.":[109],"results":[111],"experiments":[114],"demonstrated":[115],"that":[116],"performance":[119,143],"LR":[121,132],"high":[123,135],"compared":[125,147],"with":[126,148],"K-NN":[127],"DT,":[129],"achieved":[133],"accuracy":[136],"99%.":[138],"Additionally,":[139],"good":[145],"existing":[150],"state-of-the-art":[151],"methods.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}