{"id":"https://openalex.org/W2263671049","doi":null,"title":"AN INVESTIGATION OF A MULTI-OBJECTIVE GENETIC ALGORITHM APPLIED TO ENCRYPTED TRAFFIC IDENTIFICATION","display_name":"AN INVESTIGATION OF A MULTI-OBJECTIVE GENETIC ALGORITHM APPLIED TO ENCRYPTED TRAFFIC IDENTIFICATION","publication_year":2010,"publication_date":"2010-08-24","ids":{"openalex":"https://openalex.org/W2263671049","mag":"2263671049"},"language":"en","primary_location":{"id":"pmh:oai:collectionscanada.gc.ca:NSHD.ca#10222/13016","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/10222/13016","pdf_url":null,"source":{"id":"https://openalex.org/S4306402307","display_name":"Library and Archives Canada (Government of Canada)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2802286613","host_organization_name":"Government of Canada","host_organization_lineage":["https://openalex.org/I2802286613"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"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/A5049457848","display_name":"Carlos Bacquet","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Carlos Bacquet","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5049457848"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9448000192642212,"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"}},"topics":[{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9448000192642212,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.014299999922513962,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.004100000020116568,"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/encrypted-traffic-identification","display_name":"encrypted traffic identification","score":0.9779999852180481},{"id":"https://openalex.org/keywords/multi-objective-genetic-algorithm","display_name":"multi-objective genetic algorithm","score":0.9520000219345093},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.8230000138282776},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"K-means clustering","score":0.8629999756813049},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"hierarchical clustering","score":0.7080000042915344},{"id":"https://openalex.org/keywords/cluster-purity","display_name":"cluster purity","score":0.8180000185966492},{"id":"https://openalex.org/keywords/network-traffic-classification","display_name":"network traffic classification","score":0.6470000147819519},{"id":"https://openalex.org/keywords/false-positive-rate","display_name":"false positive rate","score":0.6700000166893005}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6970453262329102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6197286248207092},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6108624935150146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5379489064216614},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5335007309913635},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.49860644340515137},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4957188367843628},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4804494082927704},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.48017850518226624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47454485297203064},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.46776527166366577},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.44410139322280884},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.43254926800727844},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.4122537672519684},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3596377670764923},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24011048674583435},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:collectionscanada.gc.ca:NSHD.ca#10222/13016","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/10222/13016","pdf_url":null,"source":{"id":"https://openalex.org/S4306402307","display_name":"Library and Archives Canada (Government of Canada)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2802286613","host_organization_name":"Government of Canada","host_organization_lineage":["https://openalex.org/I2802286613"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},{"id":"pmh:oai:dal.scholaris.ca:10222/13016","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/10222/13016","pdf_url":null,"source":{"id":"https://openalex.org/S7407064432","display_name":"DalSpace (Dalhousie University)","issn_l":"2041-2096","issn":["2041-2096"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["dongbi-a","poland-140","russia-white-list-1"],"host_organization":"https://openalex.org/I129902397","host_organization_name":"Dalhousie University","host_organization_lineage":["https://openalex.org/I129902397"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},{"id":"mag:2263671049","doi":null,"is_oa":false,"landing_page_url":"https://DalSpace.library.dal.ca/bitstream/10222/13016/1/Bacquet%2c%20Carlos%2c%20MCSc%2c%20CSCI%2c%20Oct%202010.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4943999946117401,"display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W77524159","https://openalex.org/W1481277647","https://openalex.org/W1481628066","https://openalex.org/W1513380209","https://openalex.org/W1556616707","https://openalex.org/W1559810148","https://openalex.org/W1592090717","https://openalex.org/W1673310716","https://openalex.org/W1980053379","https://openalex.org/W2049633694","https://openalex.org/W2055261595","https://openalex.org/W2086586141","https://openalex.org/W2087405576","https://openalex.org/W2096118443","https://openalex.org/W2097571405","https://openalex.org/W2098409716","https://openalex.org/W2099322651","https://openalex.org/W2101284612","https://openalex.org/W2103312864","https://openalex.org/W2114687917","https://openalex.org/W2119271160","https://openalex.org/W2120152316","https://openalex.org/W2120955848","https://openalex.org/W2121973001","https://openalex.org/W2122491585","https://openalex.org/W2127218421","https://openalex.org/W2143305710","https://openalex.org/W2147024424","https://openalex.org/W2149274049","https://openalex.org/W2158215699","https://openalex.org/W2526401097","https://openalex.org/W2751318774","https://openalex.org/W2799061466","https://openalex.org/W2904250082"],"related_works":["https://openalex.org/W2118325431","https://openalex.org/W2126915984","https://openalex.org/W1556616707","https://openalex.org/W7095697785","https://openalex.org/W2170916850","https://openalex.org/W4311165643","https://openalex.org/W4415004113","https://openalex.org/W2057114683","https://openalex.org/W4401752597","https://openalex.org/W7104258886"],"abstract_inverted_index":{"This":[0],"work":[1],"explores":[2],"the":[3,35,47,59,65,89,95,103,124,134,138],"use":[4],"of":[5,34,77,94,114,118,133,137],"a":[6,71,115],"Multi-Objective":[7],"Genetic":[8],"Algorithm":[9],"(MOGA)":[10],"for":[11,19],"both,":[12],"feature":[13],"selection":[14],"and":[15,54,83,87],"cluster":[16,110],"count":[17],"optimization,":[18],"an":[20],"unsupervised":[21,42],"machine":[22],"learning":[23,43],"technique,":[24],"K-Means,":[25,50,52],"applied":[26],"to":[27,85,101],"encrypted":[28],"traffic":[29],"identification":[30],"(SSH).":[31],"The":[32],"performance":[33],"proposed":[36,60,96],"model":[37,97],"is":[38,98],"benchmarked":[39],"against":[40],"other":[41,66],"techniques":[44],"existing":[45],"in":[46,75,131],"literature:":[48],"Basic":[49],"semi-supervised":[51],"DBSCAN,":[53],"EM.":[55],"Results":[56,120],"show":[57,121],"that":[58,122],"MOGA,":[61,126],"not":[62],"only":[63],"outperforms":[64],"models,":[67],"but":[68],"also":[69,99],"provides":[70],"good":[72],"trade":[73],"off":[74],"terms":[76,132],"detection":[78],"rate,":[79,82],"false":[80],"positive":[81],"time":[84],"build":[86],"run":[88],"model.":[90],"A":[91],"hierarchical":[92,125],"version":[93],"implemented,":[100],"observe":[102],"gains,":[104],"if":[105],"any,":[106],"obtained":[107],"by":[108,112],"increasing":[109],"purity":[111],"means":[113],"second":[116],"layer":[117],"clusters.":[119],"with":[123],"significant":[127],"gains":[128],"are":[129],"observed":[130],"classification":[135],"performances":[136],"system.":[139]},"counts_by_year":[],"updated_date":"2026-09-09T07:26:56.047234","created_date":"2016-06-24T00:00:00"}