{"id":"https://openalex.org/W4400067029","doi":"https://doi.org/10.1145/3663976.3664005","title":"Pixel Power: Harnessing Image Processing for Optimizing Few-Shot Malicious Traffic Detection","display_name":"Pixel Power: Harnessing Image Processing for Optimizing Few-Shot Malicious Traffic Detection","publication_year":2024,"publication_date":"2024-04-26","ids":{"openalex":"https://openalex.org/W4400067029","doi":"https://doi.org/10.1145/3663976.3664005"},"language":"en","primary_location":{"id":"doi:10.1145/3663976.3664005","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3663976.3664005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition","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":null,"display_name":"Yihan Wang","orcid":"https://orcid.org/0009-0002-4417-9279"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihan Wang","raw_affiliation_strings":["Beijing Institute of Technology, China"],"raw_orcid":"https://orcid.org/0009-0002-4417-9279","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017568845","display_name":"Ruiyi Yan","orcid":"https://orcid.org/0009-0000-4127-6212"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiyi Yan","raw_affiliation_strings":["Beijing Institute of Technology, China"],"raw_orcid":"https://orcid.org/0009-0000-4127-6212","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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/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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9993000030517578,"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/computer-science","display_name":"Computer science","score":0.7524622678756714},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.7293356657028198},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7194234728813171},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5589479804039001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5524230003356934},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5047594308853149},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47977882623672485},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.47011032700538635},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.4243425726890564},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.36243927478790283},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12555280327796936}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7524622678756714},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.7293356657028198},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7194234728813171},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5589479804039001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5524230003356934},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5047594308853149},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47977882623672485},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.47011032700538635},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.4243425726890564},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.36243927478790283},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12555280327796936},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3663976.3664005","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3663976.3664005","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition","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":16,"referenced_works":["https://openalex.org/W2099940443","https://openalex.org/W2120955848","https://openalex.org/W2399941526","https://openalex.org/W2537766808","https://openalex.org/W2569775632","https://openalex.org/W2606697812","https://openalex.org/W2768726319","https://openalex.org/W2780618540","https://openalex.org/W2783320270","https://openalex.org/W2897202622","https://openalex.org/W2963078860","https://openalex.org/W2963845150","https://openalex.org/W3009213340","https://openalex.org/W3012902672","https://openalex.org/W4224315052","https://openalex.org/W4360999205"],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W3044321615","https://openalex.org/W4294892107","https://openalex.org/W2806221744","https://openalex.org/W2326937258","https://openalex.org/W394267150","https://openalex.org/W2773965352","https://openalex.org/W2357748469","https://openalex.org/W2392917037"],"abstract_inverted_index":{"The":[0],"rapid":[1],"proliferation":[2],"of":[3,19,30,51,150],"cyber":[4],"threats":[5],"in":[6,107,122,146],"an":[7],"increasingly":[8],"digitized":[9],"world":[10],"presents":[11],"a":[12,24,61,92],"formidable":[13],"challenge":[14,50],"to":[15,75,82,109],"existing":[16],"cybersecurity":[17,151],"mechanisms":[18],"which":[20,130],"malicious":[21,31,53,123],"traffic":[22,32,54,78,86,124],"is":[23,33,131],"noticeable":[25],"issue.":[26],"However,":[27],"feature":[28],"extraction":[29],"often":[34],"hindered":[35],"by":[36],"insufficient":[37],"data,":[38],"and":[39,43,155],"thus":[40],"training":[41,100],"effectiveness":[42],"efficiency":[44],"are":[45],"compromised.":[46],"To":[47],"address":[48],"the":[49,99,118,134,148],"detecting":[52],"with":[55],"small":[56],"sample":[57],"sizes,":[58],"we":[59,90],"introduce":[60,91],"meta":[62],"regularization":[63,95],"network,":[64],"MRN.":[65],"Our":[66,113],"method":[67],"leverages":[68],"meta-learning":[69,94],"techniques":[70],"alongside":[71],"convolutional":[72],"neural":[73],"networks":[74],"capture":[76],"intricate":[77],"patterns,":[79],"so":[80],"as":[81],"classify":[83],"processed":[84],"encrypted":[85],"data.":[87],"Within":[88],"MRN,":[89],"novel":[93],"strategy":[96],"that":[97],"adjusts":[98],"process\u2019s":[101],"loss":[102],"based":[103],"on":[104],"network":[105],"parameters,":[106],"order":[108],"improve":[110],"computing":[111],"efficiency.":[112],"comprehensive":[114],"experimental":[115,139],"evaluations":[116],"reveal":[117],"model\u2019s":[119],"exceptional":[120],"capability":[121],"classification,":[125],"achieving":[126],"95.11%":[127],"accuracy":[128],"averagely,":[129],"higher":[132],"than":[133],"baseline":[135],"methods":[136],"under":[137],"various":[138],"setup.":[140],"This":[141],"underscores":[142],"our":[143],"framework\u2019s":[144],"potential":[145],"advancing":[147],"field":[149],"through":[152],"image-based":[153],"analysis":[154],"small-sample":[156],"classification":[157],"techniques.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}