{"id":"https://openalex.org/W4413680185","doi":"https://doi.org/10.1109/csr64739.2025.11130150","title":"Evasion of Deep Learning Malware Detection via Adversarial Selective Obfuscation","display_name":"Evasion of Deep Learning Malware Detection via Adversarial Selective Obfuscation","publication_year":2025,"publication_date":"2025-08-04","ids":{"openalex":"https://openalex.org/W4413680185","doi":"https://doi.org/10.1109/csr64739.2025.11130150"},"language":"en","primary_location":{"id":"doi:10.1109/csr64739.2025.11130150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csr64739.2025.11130150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Cyber Security and Resilience (CSR)","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/A5033673694","display_name":"Claudia Greco","orcid":"https://orcid.org/0000-0003-4929-2289"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Claudia Greco","raw_affiliation_strings":["University of Calabria,Department of Mechanical, Energy and Management Engineering,Italy"],"affiliations":[{"raw_affiliation_string":"University of Calabria,Department of Mechanical, Energy and Management Engineering,Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011554149","display_name":"Michele Ianni","orcid":"https://orcid.org/0000-0003-0562-7462"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michele Ianni","raw_affiliation_strings":["University of Calabria,Modeling, Electronics and Systems,Department of Computer Engineering,Italy"],"affiliations":[{"raw_affiliation_string":"University of Calabria,Modeling, Electronics and Systems,Department of Computer Engineering,Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011937230","display_name":"Antonella Guzzo","orcid":"https://orcid.org/0000-0003-3159-0536"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonella Guzzo","raw_affiliation_strings":["University of Calabria,Modeling, Electronics and Systems,Department of Computer Engineering,Italy"],"affiliations":[{"raw_affiliation_string":"University of Calabria,Modeling, Electronics and Systems,Department of Computer Engineering,Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023424929","display_name":"Giancarlo Fortino","orcid":"https://orcid.org/0000-0002-4039-891X"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giancarlo Fortino","raw_affiliation_strings":["University of Calabria,Modeling, Electronics and Systems,Department of Computer Engineering,Italy"],"affiliations":[{"raw_affiliation_string":"University of Calabria,Modeling, Electronics and Systems,Department of Computer Engineering,Italy","institution_ids":["https://openalex.org/I45204951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033673694"],"corresponding_institution_ids":["https://openalex.org/I45204951"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33319383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9986000061035156,"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":0.987500011920929,"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/obfuscation","display_name":"Obfuscation","score":0.9104084968566895},{"id":"https://openalex.org/keywords/evasion","display_name":"Evasion (ethics)","score":0.8336285352706909},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.8281978368759155},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7896876335144043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7664171457290649},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5575985312461853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5259592533111572},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5231608152389526},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3586094379425049}],"concepts":[{"id":"https://openalex.org/C40305131","wikidata":"https://www.wikidata.org/wiki/Q2616305","display_name":"Obfuscation","level":2,"score":0.9104084968566895},{"id":"https://openalex.org/C2781251061","wikidata":"https://www.wikidata.org/wiki/Q5416089","display_name":"Evasion (ethics)","level":3,"score":0.8336285352706909},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.8281978368759155},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7896876335144043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7664171457290649},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5575985312461853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5259592533111572},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5231608152389526},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3586094379425049},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C8891405","wikidata":"https://www.wikidata.org/wiki/Q1059","display_name":"Immune system","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/csr64739.2025.11130150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csr64739.2025.11130150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Cyber Security and Resilience (CSR)","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2620652965","https://openalex.org/W2024170198","https://openalex.org/W4296272594","https://openalex.org/W2900526031","https://openalex.org/W2128507946","https://openalex.org/W2728713145","https://openalex.org/W2131332603","https://openalex.org/W2072617132","https://openalex.org/W2470029541","https://openalex.org/W2470502009"],"abstract_inverted_index":{"In":[0],"this":[1,107],"work,":[2],"we":[3,56,84],"present":[4],"a":[5],"novel":[6],"approach":[7,73],"for":[8,112],"generating":[9],"adversarial":[10,117],"attacks":[11,118],"on":[12,18],"malware":[13,47,62,120],"classification":[14],"systems":[15],"that":[16,71],"rely":[17],"image-based":[19],"representations":[20],"of":[21,46,103],"binary":[22,63],"executables.":[23],"Our":[24,68],"method":[25],"selectively":[26],"applies":[27],"obfuscation":[28,54],"techniques":[29],"to":[30,39,59,81,97],"modify":[31],"specific":[32],"bytes":[33,95],"in":[34,43,119],"the":[35,44,61,76,86,104],"binary,":[36],"which":[37],"correspond":[38],"adversarially":[40],"perturbed":[41],"pixels":[42],"representation":[45],"as":[48],"an":[49],"image.":[50],"By":[51],"leveraging":[52],"syntactic":[53],"strategies,":[55],"are":[57],"able":[58],"transform":[60],"without":[64],"compromising":[65],"its":[66],"functionality.":[67],"results":[69],"demonstrate":[70],"our":[72],"effectively":[74],"fools":[75],"CNN-based":[77],"detection":[78,121],"techniques,":[79],"leading":[80],"misclassification.":[82],"Additionally,":[83],"address":[85],"challenges":[87],"associated":[88],"with":[89],"selective":[90],"obfuscation,":[91],"particularly":[92],"when":[93],"modified":[94],"map":[96],"noninstructional":[98],"regions":[99],"or":[100],"structural":[101],"elements":[102],"binary.":[105],"Overall,":[106],"research":[108],"opens":[109],"new":[110],"avenues":[111],"understanding":[113],"and":[114],"defending":[115],"against":[116],"systems.":[122]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}