{"id":"https://openalex.org/W4405361554","doi":"https://doi.org/10.1109/nextcomp63004.2024.10779683","title":"AI-based Malware Threat Prediction through CNN-SVM Ensemble","display_name":"AI-based Malware Threat Prediction through CNN-SVM Ensemble","publication_year":2024,"publication_date":"2024-10-24","ids":{"openalex":"https://openalex.org/W4405361554","doi":"https://doi.org/10.1109/nextcomp63004.2024.10779683"},"language":"en","primary_location":{"id":"doi:10.1109/nextcomp63004.2024.10779683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nextcomp63004.2024.10779683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Next Generation Computing Applications (NextComp)","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/A5115428674","display_name":"Mufaro Shoniwa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163761","display_name":"Middlesex University Mauritius","ror":"https://ror.org/0531tjg57","country_code":"MU","type":"education","lineage":["https://openalex.org/I4210163761","https://openalex.org/I60488453"]}],"countries":["MU"],"is_corresponding":false,"raw_author_name":"Mufaro Shoniwa","raw_affiliation_strings":["Middlesex University Mauritius,School of Science and Technology,Mauritius"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Middlesex University Mauritius,School of Science and Technology,Mauritius","institution_ids":["https://openalex.org/I4210163761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088241572","display_name":"Karel Veerabudren","orcid":"https://orcid.org/0009-0009-6432-6062"},"institutions":[{"id":"https://openalex.org/I4210163761","display_name":"Middlesex University Mauritius","ror":"https://ror.org/0531tjg57","country_code":"MU","type":"education","lineage":["https://openalex.org/I4210163761","https://openalex.org/I60488453"]}],"countries":["MU"],"is_corresponding":false,"raw_author_name":"Karel Veerabudren","raw_affiliation_strings":["Middlesex University Mauritius,School of Science and Technology,Mauritius"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Middlesex University Mauritius,School of Science and Technology,Mauritius","institution_ids":["https://openalex.org/I4210163761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030368627","display_name":"Mrinal Sharma","orcid":"https://orcid.org/0000-0002-7379-3852"},"institutions":[{"id":"https://openalex.org/I4210163761","display_name":"Middlesex University Mauritius","ror":"https://ror.org/0531tjg57","country_code":"MU","type":"education","lineage":["https://openalex.org/I4210163761","https://openalex.org/I60488453"]}],"countries":["MU"],"is_corresponding":false,"raw_author_name":"Mrinal Sharma","raw_affiliation_strings":["Middlesex University Mauritius,School of Science and Technology,Mauritius"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Middlesex University Mauritius,School of Science and Technology,Mauritius","institution_ids":["https://openalex.org/I4210163761"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210163761"],"apc_list":null,"apc_paid":null,"fwci":1.529,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.84992359,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9959999918937683,"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/T10734","display_name":"Information and Cyber Security","score":0.9670000076293945,"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":0.8858208656311035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.81232750415802},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.787268340587616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5699284076690674},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48734626173973083},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3911874294281006},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33021801710128784},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3028082847595215}],"concepts":[{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.8858208656311035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.81232750415802},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.787268340587616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5699284076690674},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48734626173973083},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3911874294281006},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33021801710128784},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3028082847595215}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nextcomp63004.2024.10779683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nextcomp63004.2024.10779683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Next Generation Computing Applications (NextComp)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1980853468","https://openalex.org/W2026973889","https://openalex.org/W2099312541","https://openalex.org/W2133218851","https://openalex.org/W2148143831","https://openalex.org/W2156352116","https://openalex.org/W2512189246","https://openalex.org/W2557513839","https://openalex.org/W2783616455","https://openalex.org/W2892859754","https://openalex.org/W2899250976","https://openalex.org/W2902184924","https://openalex.org/W2931858311","https://openalex.org/W2934018981","https://openalex.org/W2964082701","https://openalex.org/W2996806689","https://openalex.org/W3009207988","https://openalex.org/W3130625521","https://openalex.org/W3138102940","https://openalex.org/W3161970973","https://openalex.org/W3186795874","https://openalex.org/W3195121218","https://openalex.org/W4205855411","https://openalex.org/W4205985752","https://openalex.org/W4210935918","https://openalex.org/W4304127868","https://openalex.org/W4313635459","https://openalex.org/W6608206699","https://openalex.org/W6746603362","https://openalex.org/W6765113867","https://openalex.org/W7020652381"],"related_works":["https://openalex.org/W2097492617","https://openalex.org/W2753240997","https://openalex.org/W1764168690","https://openalex.org/W2537959205","https://openalex.org/W2740895074","https://openalex.org/W2772446090","https://openalex.org/W4284893819","https://openalex.org/W3152891574","https://openalex.org/W4316881845","https://openalex.org/W2975527072"],"abstract_inverted_index":{"The":[0,57,149],"dynamic":[1],"terrain":[2],"of":[3,100,107,137,232],"malware":[4,29,45,71,77,93,145,167,226],"attacks":[5],"presents":[6],"noteworthy":[7],"obstacles":[8],"to":[9,23,40,103,120,126,220],"cyber":[10],"security,":[11],"necessitating":[12],"for":[13,44,143,163,176,241],"proactive":[14],"and":[15,31,48,53,69,79,111,140,147,188,228,236,245],"resilient":[16],"detection":[17,49,80,146],"techniques.":[18,56],"Conventional":[19],"signature-based":[20],"methods":[21,43],"struggle":[22],"keep":[24],"pace":[25],"with":[26,170],"the":[27,88,104,135,181,193,196,199,205,221,230],"new":[28],"strains":[30],"obfuscation":[32],"strategies.":[33],"A":[34],"systematic":[35],"literature":[36],"review":[37,58],"was":[38],"conducted":[39],"investigate":[41],"existing":[42],"threat":[46,130,243],"prediction":[47,244],"using":[50],"machine":[51,141,174,238],"learning":[52,55,109,139,142,235,239],"deep":[54,108,138,234],"identified":[59,86],"several":[60,211],"promising":[61],"approaches:":[62],"convolutional":[63,159],"neural":[64,67,160],"networks,":[65,68],"graph":[66],"visual":[70],"characterization":[72],"achieving":[73],"95-99%":[74],"accuracy":[75],"on":[76,114,195],"classification":[78],"tasks.":[81],"However,":[82],"major":[83],"gaps":[84],"were":[85],"in":[87,166,180,224],"models\u2019":[89],"generalizability":[90],"across":[91],"diverse":[92],"types,":[94],"robustness":[95],"against":[96],"evasion":[97],"attempts,":[98],"lack":[99],"interpretability":[101,187],"due":[102],"black-box":[105],"nature":[106],"models,":[110],"limited":[112],"evaluation":[113],"real-world":[115],"emerging":[116],"threats":[117,227],"as":[118],"opposed":[119],"controlled":[121],"datasets.":[122],"This":[123,217],"project":[124,218],"aimed":[125],"develop":[127],"an":[128,153],"AI-based":[129],"predictive":[131],"algorithm":[132],"that":[133,156],"leverages":[134],"power":[136],"effective":[144,242],"prediction.":[148],"suggested":[150],"method":[151],"utilises":[152],"ensemble":[154],"approach":[155],"combines":[157],"a":[158,171],"network":[161],"(CNN)":[162],"pattern":[164],"recognition":[165],"code":[168],"structures":[169],"support":[172],"vector":[173],"(SVM)":[175],"robust":[177],"decision":[178],"boundaries":[179],"feature":[182],"space,":[183],"thereby":[184],"enhancing":[185],"generalization,":[186],"adversarial":[189],"resilience.":[190],"By":[191],"evaluating":[192],"model":[194],"MalImg":[197],"dataset,":[198],"system":[200,207],"achieved":[201],"92.37%":[202],"accuracy.":[203],"Although":[204],"developed":[206],"exhibits":[208],"optimal":[209],"outcomes,":[210],"areas":[212],"could":[213],"use":[214],"more":[215],"improvement.":[216],"contributes":[219],"ongoing":[222],"efforts":[223],"combating":[225],"highlights":[229],"potential":[231],"combining":[233],"traditional":[237],"techniques":[240],"detection.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-27T14:10:00.468798","created_date":"2025-10-10T00:00:00"}