{"id":"https://openalex.org/W2943063078","doi":"https://doi.org/10.23919/icact.2019.8701951","title":"Counterfeit Fingerprint Detection of Outbound HTTP Traffic with Recurrent Neural Network","display_name":"Counterfeit Fingerprint Detection of Outbound HTTP Traffic with Recurrent Neural Network","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2943063078","doi":"https://doi.org/10.23919/icact.2019.8701951","mag":"2943063078"},"language":"en","primary_location":{"id":"doi:10.23919/icact.2019.8701951","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact.2019.8701951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","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/A5064481137","display_name":"Chi-Kuan Chiu","orcid":null},"institutions":[{"id":"https://openalex.org/I3141939062","display_name":"Institute for Information Industry","ror":"https://ror.org/01d8kr740","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I3141939062"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chi-Kuan Chiu","raw_affiliation_strings":["CyberTrust Technology Institute, Institute for Information Industry, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CyberTrust Technology Institute, Institute for Information Industry, Taiwan, R.O.C","institution_ids":["https://openalex.org/I3141939062"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028584637","display_name":"Te-En Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Te-En Wei","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064282432","display_name":"Hsiao-Hsien Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I3141939062","display_name":"Institute for Information Industry","ror":"https://ror.org/01d8kr740","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I3141939062"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsiao-Hsien Chang","raw_affiliation_strings":["CyberTrust Technology Institute, Institute for Information Industry, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CyberTrust Technology Institute, Institute for Information Industry, Taiwan, R.O.C","institution_ids":["https://openalex.org/I3141939062"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020533893","display_name":"Ching-Hao Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I3141939062","display_name":"Institute for Information Industry","ror":"https://ror.org/01d8kr740","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I3141939062"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Hao Mao","raw_affiliation_strings":["CyberTrust Technology Institute, Institute for Information Industry, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CyberTrust Technology Institute, Institute for Information Industry, Taiwan, R.O.C","institution_ids":["https://openalex.org/I3141939062"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03219916,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"533","last_page":"538"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":1.0,"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":1.0,"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":0.9998000264167786,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9998000264167786,"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":0.8500036001205444},{"id":"https://openalex.org/keywords/blacklist","display_name":"Blacklist","score":0.830573320388794},{"id":"https://openalex.org/keywords/counterfeit","display_name":"Counterfeit","score":0.6028591990470886},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.5702067613601685},{"id":"https://openalex.org/keywords/spoofing-attack","display_name":"Spoofing attack","score":0.5584781765937805},{"id":"https://openalex.org/keywords/blacklisting","display_name":"Blacklisting","score":0.5410446524620056},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4829513430595398},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.48163121938705444},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4775034785270691},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4627419114112854},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4437049329280853},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38629668951034546},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3528432846069336},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.32878783345222473}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8500036001205444},{"id":"https://openalex.org/C2781345505","wikidata":"https://www.wikidata.org/wiki/Q2535979","display_name":"Blacklist","level":2,"score":0.830573320388794},{"id":"https://openalex.org/C2779356469","wikidata":"https://www.wikidata.org/wiki/Q502918","display_name":"Counterfeit","level":2,"score":0.6028591990470886},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.5702067613601685},{"id":"https://openalex.org/C167900197","wikidata":"https://www.wikidata.org/wiki/Q11081100","display_name":"Spoofing attack","level":2,"score":0.5584781765937805},{"id":"https://openalex.org/C2779797433","wikidata":"https://www.wikidata.org/wiki/Q632959","display_name":"Blacklisting","level":2,"score":0.5410446524620056},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4829513430595398},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.48163121938705444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4775034785270691},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4627419114112854},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4437049329280853},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38629668951034546},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3528432846069336},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.32878783345222473},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icact.2019.8701951","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact.2019.8701951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","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":36,"referenced_works":["https://openalex.org/W12316596","https://openalex.org/W70584117","https://openalex.org/W202500387","https://openalex.org/W1507388815","https://openalex.org/W1583098994","https://openalex.org/W1775772884","https://openalex.org/W1827212170","https://openalex.org/W1909494783","https://openalex.org/W1988741337","https://openalex.org/W1990981691","https://openalex.org/W1992110042","https://openalex.org/W2011184586","https://openalex.org/W2012543144","https://openalex.org/W2046504126","https://openalex.org/W2061455058","https://openalex.org/W2103378897","https://openalex.org/W2114996745","https://openalex.org/W2124929753","https://openalex.org/W2141608288","https://openalex.org/W2146189323","https://openalex.org/W2154874878","https://openalex.org/W2276979642","https://openalex.org/W2498359591","https://openalex.org/W2562305241","https://openalex.org/W2772124517","https://openalex.org/W2807700575","https://openalex.org/W2912765557","https://openalex.org/W2988089375","https://openalex.org/W4237794209","https://openalex.org/W4253289766","https://openalex.org/W6602816918","https://openalex.org/W6634779276","https://openalex.org/W6638021444","https://openalex.org/W6638623425","https://openalex.org/W6723978441","https://openalex.org/W6981170678"],"related_works":["https://openalex.org/W2181543702","https://openalex.org/W3172840274","https://openalex.org/W2769847412","https://openalex.org/W2146351192","https://openalex.org/W3037489623","https://openalex.org/W2991976289","https://openalex.org/W4379624358","https://openalex.org/W178883471","https://openalex.org/W3112398763","https://openalex.org/W2005813008"],"abstract_inverted_index":{"Most":[0],"of":[1,36],"malwares":[2],"usually":[3],"hide":[4],"their":[5],"malicious":[6,21,79,93],"activities":[7],"into":[8],"HTTP":[9,53],"protocol,":[10],"such":[11],"as":[12],"communicating":[13],"with":[14,63,84,138,149,180],"the":[15,31,34,52,56,64,105,116,124,147,150,160,167,176,181],"C&C":[16],"server":[17],"or":[18],"accessing":[19],"some":[20],"webpages.":[22],"The":[23,133,153],"previous":[24],"detection":[25,47,73,170],"system":[26,48,74],"is":[27,136],"mainly":[28],"based":[29],"on":[30],"blacklist.":[32],"With":[33],"advancement":[35],"technology,":[37],"there":[38],"are":[39],"many":[40],"ways":[41],"can":[42],"easily":[43],"available":[44],"to":[45,61,70,75,103,121,163,173],"evade":[46],"nowadays,":[49],"e.g.,":[50],"spoofing":[51],"headers.":[54],"However,":[55],"stealthiest":[57],"malware":[58],"still":[59],"needs":[60],"communicate":[62],"destination":[65],"point.":[66],"This":[67],"paper":[68],"aims":[69],"provide":[71],"a":[72],"detect":[76],"these":[77],"stealthily":[78],"activities.":[80],"Consider":[81],"machine-learning":[82],"classifiers":[83],"manually":[85],"handled":[86],"features":[87],"have":[88],"been":[89],"widely":[90],"used":[91],"in":[92,130],"URL":[94,106,112,131],"detection.":[95],"We":[96,114],"propose":[97],"an":[98],"end-to-end":[99],"deep":[100],"learning":[101],"framework":[102],"learn":[104],"embedding":[107],"for":[108],"application":[109],"classifier":[110],"from":[111,141],"string.":[113],"apply":[115],"Recurrent":[117],"Neural":[118],"Network":[119],"(RNN)":[120],"effectively":[122],"keep":[123],"semantic":[125],"meaning":[126],"and":[127,145,165],"sequential":[128],"patterns":[129],"strings.":[132],"proposed":[134],"approach":[135,158,178],"evaluated":[137],"real-world":[139],"data":[140],"technology":[142],"enterprise's":[143],"network":[144],"compare":[146],"performance":[148],"state-of-the-art":[151],"approach.":[152],"result":[154],"shows":[155],"that":[156],"our":[157],"achieves":[159],"accuracy":[161],"rate":[162],"99%,":[164],"even":[166],"counterfeit":[168],"fingerprint's":[169],"reaches":[171],"up":[172],"100%":[174],"while":[175],"comparison":[177],"failed":[179],"same":[182],"scenario.":[183]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}