{"id":"https://openalex.org/W2750032202","doi":"https://doi.org/10.1109/fuzz-ieee.2017.8015490","title":"A fuzzy-based process mining approach for dynamic malware detection","display_name":"A fuzzy-based process mining approach for dynamic malware detection","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2750032202","doi":"https://doi.org/10.1109/fuzz-ieee.2017.8015490","mag":"2750032202"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2017.8015490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2017.8015490","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-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/A5032066141","display_name":"Mario Luca Bernardi","orcid":"https://orcid.org/0000-0002-3223-7032"},"institutions":[{"id":"https://openalex.org/I4210165932","display_name":"Giustino Fortunato University","ror":"https://ror.org/0592q0v50","country_code":"IT","type":"education","lineage":["https://openalex.org/I4210165932"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Mario Luca Bernardi","raw_affiliation_strings":["Giustino Fortunato University, Benevento, Italy"],"affiliations":[{"raw_affiliation_string":"Giustino Fortunato University, Benevento, Italy","institution_ids":["https://openalex.org/I4210165932"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027577443","display_name":"Marta Cimitile","orcid":"https://orcid.org/0000-0003-2403-8313"},"institutions":[{"id":"https://openalex.org/I4210130905","display_name":"Unitelma Sapienza University","ror":"https://ror.org/04dfrdm61","country_code":"IT","type":"education","lineage":["https://openalex.org/I4210130905"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marta Cimitile","raw_affiliation_strings":["Unitelma Sapienza University, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Unitelma Sapienza University, Rome, Italy","institution_ids":["https://openalex.org/I4210130905"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101546784","display_name":"Fabio Martinelli","orcid":"https://orcid.org/0000-0002-6721-9395"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Martinelli","raw_affiliation_strings":["Institute for Informatics and Telematics, National Research Council of Italy (CNR), Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Institute for Informatics and Telematics, National Research Council of Italy (CNR), Pisa, Italy","institution_ids":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023695406","display_name":"Francesco Mercaldo","orcid":"https://orcid.org/0000-0002-9425-1657"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210130157","display_name":"Institute of Informatics and Telematics","ror":"https://ror.org/02gdcn153","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Mercaldo","raw_affiliation_strings":["Institute for Informatics and Telematics, National Research Council of Italy (CNR), Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Institute for Informatics and Telematics, National Research Council of Italy (CNR), Pisa, Italy","institution_ids":["https://openalex.org/I4210130157","https://openalex.org/I4210155236"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032066141"],"corresponding_institution_ids":["https://openalex.org/I4210165932"],"apc_list":null,"apc_paid":null,"fwci":1.6994,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.8536481,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T12034","display_name":"Digital and Cyber Forensics","score":0.9973999857902527,"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/malware","display_name":"Malware","score":0.9375283718109131},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8188331723213196},{"id":"https://openalex.org/keywords/cryptovirology","display_name":"Cryptovirology","score":0.7148415446281433},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5882838368415833},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5842493772506714},{"id":"https://openalex.org/keywords/system-call","display_name":"System call","score":0.5721434354782104},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5692599415779114},{"id":"https://openalex.org/keywords/malware-analysis","display_name":"Malware analysis","score":0.5364886522293091},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4694855809211731},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.43717318773269653},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4289095401763916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4268978238105774},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.25824230909347534},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08827051520347595},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07952886819839478}],"concepts":[{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.9375283718109131},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8188331723213196},{"id":"https://openalex.org/C84525096","wikidata":"https://www.wikidata.org/wiki/Q3506050","display_name":"Cryptovirology","level":3,"score":0.7148415446281433},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5882838368415833},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5842493772506714},{"id":"https://openalex.org/C2778579508","wikidata":"https://www.wikidata.org/wiki/Q722192","display_name":"System call","level":2,"score":0.5721434354782104},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5692599415779114},{"id":"https://openalex.org/C2779395397","wikidata":"https://www.wikidata.org/wiki/Q15731404","display_name":"Malware analysis","level":3,"score":0.5364886522293091},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4694855809211731},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.43717318773269653},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4289095401763916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4268978238105774},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.25824230909347534},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08827051520347595},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07952886819839478},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2017.8015490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2017.8015490","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.550000011920929},{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1486147991","https://openalex.org/W1490658580","https://openalex.org/W1517864537","https://openalex.org/W1670263352","https://openalex.org/W1975192419","https://openalex.org/W1978762841","https://openalex.org/W1997931601","https://openalex.org/W2018175892","https://openalex.org/W2075360618","https://openalex.org/W2096998948","https://openalex.org/W2104537183","https://openalex.org/W2117583561","https://openalex.org/W2122672392","https://openalex.org/W2125011234","https://openalex.org/W2132661907","https://openalex.org/W2164400088","https://openalex.org/W2165939876","https://openalex.org/W2187419566","https://openalex.org/W2435913858","https://openalex.org/W2461651791","https://openalex.org/W2566681038","https://openalex.org/W2575624373","https://openalex.org/W2609233367","https://openalex.org/W4230145224","https://openalex.org/W4285719527","https://openalex.org/W6631190729","https://openalex.org/W6679643976","https://openalex.org/W6732159002"],"related_works":["https://openalex.org/W2469507153","https://openalex.org/W2008790809","https://openalex.org/W2768892939","https://openalex.org/W2160963033","https://openalex.org/W3022706011","https://openalex.org/W2965893286","https://openalex.org/W2991580804","https://openalex.org/W2810666735","https://openalex.org/W3211525895","https://openalex.org/W2469346691"],"abstract_inverted_index":{"Mobile":[0],"systems":[1],"have":[2],"become":[3],"essential":[4],"for":[5,34,173],"communication":[6],"and":[7,46,87,126,135,154,161,176],"productivity":[8],"but":[9],"are":[10,20,53],"also":[11],"becoming":[12],"target":[13],"of":[14,25,42,59,70,98,107,139,151],"continuous":[15],"malware":[16,19,36,85,94,124,133,142,159,174],"attacks.":[17],"New":[18],"often":[21],"obtained":[22],"as":[23,67],"variants":[24,138],"existing":[26,93],"malicious":[27,155],"code.":[28],"This":[29],"work":[30],"describes":[31],"an":[32,60,108],"approach":[33,145],"dynamic":[35],"detection":[37,175],"based":[38],"on":[39,148],"the":[40,57,74,83,92,99,128,131,136,140],"combination":[41,97],"Process":[43],"Mining":[44],"(PM)":[45],"Fuzzy":[47,77],"Logic":[48],"(FL)":[49],"techniques.":[50],"The":[51,96,144],"firsts":[52],"used":[54,80,112],"to":[55,81,103,113],"characterize":[56],"behavior":[58,134],"application":[61,109],"identifying":[62],"some":[63,141],"recurring":[64],"execution":[65],"expressed":[66],"a":[68,105,122,149,164],"set":[69],"declarative":[71],"constraints":[72],"between":[73,130],"system":[75],"calls.":[76],"logic":[78],"is":[79,111,146],"classify":[82],"analyzed":[84],"applications":[86,156],"verify":[88,114],"their":[89],"relations":[90],"with":[91],"variants.":[95],"two":[100],"techniques":[101],"allows":[102],"obtain":[104],"fingerprint":[106],"that":[110,169],"its":[115],"maliciousness/trustfulness,":[116],"establish":[117],"if":[118],"it":[119],"belongs":[120],"from":[121],"known":[123],"family":[125,177],"identify":[127],"differences":[129],"detected":[132],"other":[137],"family.":[143],"applied":[147],"dataset":[150],"3000":[152],"trusted":[153],"across":[157],"twelve":[158],"families":[160],"has":[162],"shown":[163],"very":[165],"good":[166],"discrimination":[167],"ability":[168],"can":[170],"be":[171],"exploited":[172],"identification.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
