{"id":"https://openalex.org/W7127415832","doi":"https://doi.org/10.48550/arxiv.2602.02184","title":"Malware Detection Through Memory Analysis","display_name":"Malware Detection Through Memory Analysis","publication_year":2026,"publication_date":"2026-02-02","ids":{"openalex":"https://openalex.org/W7127415832","doi":"https://doi.org/10.48550/arxiv.2602.02184"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.02184","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124943222","display_name":"Sarah Nassar","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nassar, Sarah","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5124943222"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13501335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9898999929428101,"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":0.9898999929428101,"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":0.002099999925121665,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.00139999995008111,"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/malware","display_name":"Malware","score":0.8403000235557556},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5084999799728394},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.48829999566078186},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.47209998965263367},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4652000069618225},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.42969998717308044},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.3982999920845032},{"id":"https://openalex.org/keywords/analyser","display_name":"Analyser","score":0.3817000091075897}],"concepts":[{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.8403000235557556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7296000123023987},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5353999733924866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5332000255584717},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5084999799728394},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.48829999566078186},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47209998965263367},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4652000069618225},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.42969998717308044},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.424699991941452},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3982999920845032},{"id":"https://openalex.org/C26834552","wikidata":"https://www.wikidata.org/wiki/Q3275846","display_name":"Analyser","level":2,"score":0.3817000091075897},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.3506999909877777},{"id":"https://openalex.org/C2779395397","wikidata":"https://www.wikidata.org/wiki/Q15731404","display_name":"Malware analysis","level":3,"score":0.33899998664855957},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C174333608","wikidata":"https://www.wikidata.org/wiki/Q19635","display_name":"Trojan","level":2,"score":0.3061999976634979},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.290800005197525},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.28859999775886536},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2777000069618225},{"id":"https://openalex.org/C153180980","wikidata":"https://www.wikidata.org/wiki/Q19776675","display_name":"Commit","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C3309909","wikidata":"https://www.wikidata.org/wiki/Q864155","display_name":"Binary decision diagram","level":2,"score":0.2590000033378601}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.02184","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.02184","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.02184","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.02184","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"summarizes":[2],"the":[3,12,22,27,36,68,77,101,121,129,155,163,174,186,207],"research":[4,170],"conducted":[5],"for":[6,15,35,72,185,204],"a":[7,91],"malware":[8,54,122,183],"detection":[9,81],"project":[10,23,171,195],"using":[11],"Canadian":[13],"Institute":[14],"Cybersecurity's":[16],"MalMemAnalysis-2022":[17],"dataset.":[18],"The":[19,63,87,166],"purpose":[20],"of":[21,31,38,98,107,113,124,139,188,200],"was":[24,67,196],"to":[25,50,76,128,147],"explore":[26],"effectiveness":[28],"and":[29,83,95,109,158,180,192],"efficiency":[30],"machine":[32],"learning":[33],"techniques":[34],"task":[37],"binary":[39,88,156],"classification":[40,49,140],"(i.e.,":[41,56],"benign":[42],"or":[43,60],"malicious)":[44],"as":[45,47,198],"well":[46],"multi-class":[48,102,164],"further":[51],"include":[52],"three":[53],"sub-types":[55,123],"benign,":[57],"ransomware,":[58],"spyware,":[59],"Trojan":[61],"horse).":[62],"XGBoost":[64,133],"model":[65,70],"type":[66],"final":[69],"selected":[71],"both":[73],"tasks":[74],"due":[75],"trade-off":[78],"between":[79],"strong":[80],"capability":[82],"fast":[84],"inference":[85],"speed.":[86,141],"classifier":[89],"achieved":[90],"testing":[92],"subset":[93],"accuracy":[94,106],"F1":[96,111,118],"score":[97,112,119],"99.98\\%,":[99],"while":[100],"version":[103],"reached":[104],"an":[105,110,116],"87.54\\%":[108],"81.26\\%,":[114],"with":[115],"average":[117],"over":[120],"75.03\\%.":[125],"In":[126],"addition":[127],"high":[130],"modelling":[131],"performance,":[132],"is":[134],"also":[135],"efficient":[136],"in":[137,151,154,162,206],"terms":[138],"It":[142],"takes":[143],"about":[144,159],"37.3":[145],"milliseconds":[146,161],"classify":[148],"50":[149],"samples":[150],"sequential":[152],"order":[153],"setting":[157],"43.2":[160],"setting.":[165],"results":[167],"from":[168],"this":[169],"help":[172],"advance":[173],"efforts":[175],"made":[176],"towards":[177],"developing":[178],"accurate":[179],"real-time":[181],"obfuscated":[182],"detectors":[184],"goal":[187],"improving":[189],"online":[190],"privacy":[191],"safety.":[193],"*This":[194],"completed":[197],"part":[199],"ELEC":[201],"877":[202],"(AI":[203],"Cybersecurity)":[205],"Winter":[208],"2024":[209],"term.":[210]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-02-04T00:00:00"}
