{"id":"https://openalex.org/W3124000956","doi":"https://doi.org/10.1109/roedunet51892.2020.9324852","title":"Early Detection of Vulnerabilities from News Websites using Machine Learning Models","display_name":"Early Detection of Vulnerabilities from News Websites using Machine Learning Models","publication_year":2020,"publication_date":"2020-12-11","ids":{"openalex":"https://openalex.org/W3124000956","doi":"https://doi.org/10.1109/roedunet51892.2020.9324852","mag":"3124000956"},"language":"en","primary_location":{"id":"doi:10.1109/roedunet51892.2020.9324852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/roedunet51892.2020.9324852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 19th RoEduNet Conference: Networking in Education and Research (RoEduNet)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5086489872","display_name":"Denis Iorga","orcid":null},"institutions":[{"id":"https://openalex.org/I141595442","display_name":"University of Bucharest","ror":"https://ror.org/02x2v6p15","country_code":"RO","type":"education","lineage":["https://openalex.org/I141595442"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Denis Iorga","raw_affiliation_strings":["Imterdisciplimary Studies Department, University of Bucharest, Bucharest, Rom\u00e2nia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imterdisciplimary Studies Department, University of Bucharest, Bucharest, Rom\u00e2nia","institution_ids":["https://openalex.org/I141595442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091668577","display_name":"Dragos Corlatescu","orcid":"https://orcid.org/0000-0002-7994-9950"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Dragos Corlatescu","raw_affiliation_strings":["Computer Science Department, University Politehnica of Bucharest, Bucharest, Rom\u00e2nia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University Politehnica of Bucharest, Bucharest, Rom\u00e2nia","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004269636","display_name":"Octavian Grigorescu","orcid":"https://orcid.org/0000-0002-8919-5718"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Octavian Grigorescu","raw_affiliation_strings":["CODA Intelligence SRL, Bucharest, Rom\u00e2nia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CODA Intelligence SRL, Bucharest, Rom\u00e2nia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088513905","display_name":"Cristian Sandescu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cristian Sandescu","raw_affiliation_strings":["CODA Intelligence SRL, Bucharest, Rom\u00e2nia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CODA Intelligence SRL, Bucharest, Rom\u00e2nia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072192995","display_name":"Mihai Dasc\u0103lu","orcid":"https://orcid.org/0000-0002-4815-9227"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Mihai Dascalu","raw_affiliation_strings":["Computer Science Department, University Politehnica of Bucharest, Bucharest, Rom\u00e2nia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University Politehnica of Bucharest, Bucharest, Rom\u00e2nia","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071318126","display_name":"R\u0103zvan Rughini\u015f","orcid":"https://orcid.org/0000-0003-2794-280X"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Razvan Rughinis","raw_affiliation_strings":["Computer Science Department, University Politehnica of Bucharest, Bucharest, Rom\u00e2nia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University Politehnica of Bucharest, Bucharest, Rom\u00e2nia","institution_ids":["https://openalex.org/I61641377"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T11644","display_name":"Spam and Phishing Detection","score":0.995199978351593,"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"}},"topics":[{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.995199978351593,"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/T10734","display_name":"Information and Cyber Security","score":0.9925000071525574,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8523776531219482},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.6177398562431335},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5814416408538818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5746122598648071},{"id":"https://openalex.org/keywords/cybernetics","display_name":"Cybernetics","score":0.554470956325531},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4765932261943817},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4518154263496399},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3828579783439636},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.338525652885437}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8523776531219482},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.6177398562431335},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5814416408538818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5746122598648071},{"id":"https://openalex.org/C115286129","wikidata":"https://www.wikidata.org/wiki/Q123637","display_name":"Cybernetics","level":2,"score":0.554470956325531},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4765932261943817},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4518154263496399},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3828579783439636},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.338525652885437}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/roedunet51892.2020.9324852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/roedunet51892.2020.9324852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 19th RoEduNet Conference: Networking in Education and Research (RoEduNet)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1565201084","https://openalex.org/W1596717185","https://openalex.org/W1707806712","https://openalex.org/W1983578042","https://openalex.org/W2064675550","https://openalex.org/W2147880316","https://openalex.org/W2149684865","https://openalex.org/W2265846598","https://openalex.org/W2290663818","https://openalex.org/W2538865281","https://openalex.org/W2784295274","https://openalex.org/W2790062073","https://openalex.org/W2807143630","https://openalex.org/W2882319491","https://openalex.org/W2896457183","https://openalex.org/W2896612858","https://openalex.org/W2912599651","https://openalex.org/W2939784618","https://openalex.org/W2949135188","https://openalex.org/W2978864691","https://openalex.org/W4213009331","https://openalex.org/W4239319433","https://openalex.org/W6633798749","https://openalex.org/W6637554470","https://openalex.org/W6682082992","https://openalex.org/W6693505360","https://openalex.org/W6752568125","https://openalex.org/W6755267338"],"related_works":["https://openalex.org/W226730667","https://openalex.org/W1992148920","https://openalex.org/W4387906327","https://openalex.org/W2045833707","https://openalex.org/W2509670760","https://openalex.org/W4387906433","https://openalex.org/W1989494794","https://openalex.org/W2122031327","https://openalex.org/W1184238669","https://openalex.org/W3032901101"],"abstract_inverted_index":{"The":[0,136],"drawbacks":[1],"of":[2,5,75,81,100,147],"traditional":[3],"methods":[4],"cybernetic":[6,67,83],"vulnerability":[7,47,170],"detection":[8,48,80,171],"relate":[9],"to":[10,14,18,30,64,105,175],"the":[11,22,34,140,150,156],"required":[12],"time":[13],"identify":[15,65],"new":[16,118],"threats,":[17],"register":[19],"them":[20,32],"in":[21,69,173],"Common":[23,35],"Vulnerabilities":[24,36],"and":[25,29,54,131],"Exposures":[26],"(CVE)":[27],"records,":[28],"score":[31],"with":[33,143],"Scoring":[37],"System":[38],"(CVSS).":[39],"These":[40],"problems":[41],"can":[42],"be":[43],"mitigated":[44],"by":[45],"early":[46,82,169],"systems":[49,172],"relying":[50],"on":[51,96,149],"social":[52],"media":[53],"open-source":[55],"data.":[56],"This":[57],"paper":[58],"presents":[59],"a":[60,76,97,107,126,132,144],"model":[61,138],"that":[62,158],"aims":[63],"emerging":[66],"vulnerabilities":[68],"cybersecurity":[70,112,180],"news":[71,103,181],"articles,":[72],"as":[73,114],"part":[74],"system":[77],"for":[78,110,168],"automatic":[79],"threats":[84],"using":[85],"Open":[86],"Source":[87],"Intelligence":[88],"(OSINT).":[89],"Three":[90],"machine":[91],"learning":[92],"models":[93,163],"were":[94],"trained":[95],"novel":[98],"dataset":[99],"1000":[101],"labeled":[102],"articles":[104,113],"create":[106],"strong":[108],"baseline":[109],"classifying":[111],"relevant":[115,177],"(i.e.,":[116],"introducing":[117],"security":[119],"threats),":[120],"or":[121],"irrelevant:":[122],"Support":[123],"Vector":[124],"Machines,":[125],"Multinomial":[127],"Na\u00efve":[128],"Bayes":[129],"classifier,":[130],"finetuned":[133],"BERT":[134,137],"model.":[135],"obtained":[139],"best":[141],"performance":[142],"mean":[145],"accuracy":[146],"88.45%":[148],"test":[151],"dataset.":[152],"Our":[153],"experiments":[154],"support":[155],"conclusion":[157],"Natural":[159],"Language":[160],"Processing":[161],"(NLP)":[162],"are":[164],"an":[165],"appropriate":[166],"choice":[167],"order":[174],"extract":[176],"information":[178],"from":[179],"articles.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}