{"id":"https://openalex.org/W4400449041","doi":"https://doi.org/10.1109/metroind4.0iot61288.2024.10584155","title":"Ransomware Detection: Leveraging Sandbox, Text Mining Techiques and Machine Learning","display_name":"Ransomware Detection: Leveraging Sandbox, Text Mining Techiques and Machine Learning","publication_year":2024,"publication_date":"2024-05-29","ids":{"openalex":"https://openalex.org/W4400449041","doi":"https://doi.org/10.1109/metroind4.0iot61288.2024.10584155"},"language":"en","primary_location":{"id":"doi:10.1109/metroind4.0iot61288.2024.10584155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroind4.0iot61288.2024.10584155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Workshop on Metrology for Industry 4.0 &amp;amp; IoT (MetroInd4.0 &amp;amp; IoT)","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/A5085704519","display_name":"Augusto Parisot","orcid":null},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Augusto Parisot","raw_affiliation_strings":["Fluminense Federal University,Institute of Computing,Niter&#x00F3;i,RJ,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fluminense Federal University,Institute of Computing,Niter&#x00F3;i,RJ,Brazil","institution_ids":["https://openalex.org/I161127581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009382265","display_name":"Lucila M. S. Bento","orcid":"https://orcid.org/0000-0002-3688-5838"},"institutions":[{"id":"https://openalex.org/I40034438","display_name":"Universidade do Estado do Rio de Janeiro","ror":"https://ror.org/0198v2949","country_code":"BR","type":"education","lineage":["https://openalex.org/I40034438"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Lucila M. S. Bento","raw_affiliation_strings":["State University of Rio de Janeiro,Institute of Mathematics and Statistics,Rio de Janeiro,RJ,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State University of Rio de Janeiro,Institute of Mathematics and Statistics,Rio de Janeiro,RJ,Brazil","institution_ids":["https://openalex.org/I40034438"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036855105","display_name":"Raphael C. S. Machado","orcid":"https://orcid.org/0000-0003-3339-9735"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Raphael C. S. Machado","raw_affiliation_strings":["Fluminense Federal University,Institute of Computing,Niter&#x00F3;i,RJ,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fluminense Federal University,Institute of Computing,Niter&#x00F3;i,RJ,Brazil","institution_ids":["https://openalex.org/I161127581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6686,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8429769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"446","last_page":"451"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9990000128746033,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9919999837875366,"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/T12519","display_name":"Cybercrime and Law Enforcement Studies","score":0.9702000021934509,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sandbox","display_name":"Sandbox (software development)","score":0.9816704988479614},{"id":"https://openalex.org/keywords/ransomware","display_name":"Ransomware","score":0.9035049676895142},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.761443018913269},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.45461851358413696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44716960191726685},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.20224666595458984},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11803975701332092}],"concepts":[{"id":"https://openalex.org/C167981075","wikidata":"https://www.wikidata.org/wiki/Q2667186","display_name":"Sandbox (software development)","level":2,"score":0.9816704988479614},{"id":"https://openalex.org/C2777667771","wikidata":"https://www.wikidata.org/wiki/Q926331","display_name":"Ransomware","level":3,"score":0.9035049676895142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.761443018913269},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.45461851358413696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44716960191726685},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.20224666595458984},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11803975701332092}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/metroind4.0iot61288.2024.10584155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroind4.0iot61288.2024.10584155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Workshop on Metrology for Industry 4.0 &amp;amp; IoT (MetroInd4.0 &amp;amp; IoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2089468765","https://openalex.org/W2885747980","https://openalex.org/W2887954984","https://openalex.org/W2953056235","https://openalex.org/W2993581355","https://openalex.org/W2995213179","https://openalex.org/W3080622597","https://openalex.org/W3110037972","https://openalex.org/W3204068532","https://openalex.org/W4312566881","https://openalex.org/W4380149468","https://openalex.org/W4380990032","https://openalex.org/W4388144994","https://openalex.org/W4389454898","https://openalex.org/W4389827903","https://openalex.org/W4390636702"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2033352828","https://openalex.org/W2355810117","https://openalex.org/W3098313552","https://openalex.org/W3201228709","https://openalex.org/W2034129977","https://openalex.org/W1745773915","https://openalex.org/W2765820957","https://openalex.org/W4367595269"],"abstract_inverted_index":{"With":[0],"the":[1,17,33,38,67,86],"significant":[2],"rise":[3],"in":[4,7],"ransomware":[5,30],"attacks":[6],"recent":[8],"years,":[9],"these":[10],"malwares":[11],"have":[12],"emerged":[13],"as":[14],"one":[15],"of":[16,37,76],"top":[18],"threats":[19],"to":[20],"global":[21],"cybersecurity.":[22],"This":[23],"article":[24],"introduces":[25],"a":[26],"dynamic":[27],"methodology":[28],"for":[29,70,96],"classification,":[31],"leveraging":[32],"advanced":[34],"analysis":[35],"capabilities":[36],"Cuckoo":[39],"Sandbox":[40],"combined":[41],"with":[42,85],"widely":[43],"used":[44],"machine":[45,78],"learning":[46,79],"techniques.":[47],"We":[48],"constructed":[49],"three":[50],"novel":[51],"datasets":[52],"focusing":[53],"on":[54],"API":[55],"calls,":[56],"network":[57],"interactions,":[58],"and":[59,89,100],"string":[60],"information":[61],"extracted":[62],"from":[63],"malware":[64],"samples,":[65],"applying":[66],"TF-IDF":[68],"technique":[69],"essential":[71],"feature":[72],"extraction.":[73],"The":[74],"efficacy":[75],"six":[77],"(ML)":[80],"classification":[81],"algorithms":[82],"is":[83],"evaluated,":[84],"Random":[87],"Forest":[88],"Support":[90],"Vector":[91],"Machine":[92],"models":[93],"standing":[94],"out":[95],"their":[97],"exceptional":[98],"robustness":[99],"adaptability":[101],"across":[102],"various":[103],"preprocessing":[104],"scenarios.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
