{"id":"https://openalex.org/W4387064068","doi":"https://doi.org/10.1109/icsecs58457.2023.10256383","title":"PErformance Evaluation of Detection Mechanisms Towards the Slow Ddos Attack of Edge Computing","display_name":"PErformance Evaluation of Detection Mechanisms Towards the Slow Ddos Attack of Edge Computing","publication_year":2023,"publication_date":"2023-08-25","ids":{"openalex":"https://openalex.org/W4387064068","doi":"https://doi.org/10.1109/icsecs58457.2023.10256383"},"language":"en","primary_location":{"id":"doi:10.1109/icsecs58457.2023.10256383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsecs58457.2023.10256383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 8th International Conference On Software Engineering and Computer Systems (ICSECS)","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/A5110648043","display_name":"X. Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I161371597","display_name":"Universiti of Malaysia Sabah","ror":"https://ror.org/040v70252","country_code":"MY","type":"education","lineage":["https://openalex.org/I161371597"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Xue Yi Lee","raw_affiliation_strings":["Universiti Malaysia Sabah,Faculty of Computing and Informatics,Kota Kinabalu,Malaysia","Faculty of Computing and Informatics, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia"],"affiliations":[{"raw_affiliation_string":"Universiti Malaysia Sabah,Faculty of Computing and Informatics,Kota Kinabalu,Malaysia","institution_ids":["https://openalex.org/I161371597"]},{"raw_affiliation_string":"Faculty of Computing and Informatics, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia","institution_ids":["https://openalex.org/I161371597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010351554","display_name":"Yu\u2010Beng Leau","orcid":"https://orcid.org/0000-0002-5386-2734"},"institutions":[{"id":"https://openalex.org/I161371597","display_name":"Universiti of Malaysia Sabah","ror":"https://ror.org/040v70252","country_code":"MY","type":"education","lineage":["https://openalex.org/I161371597"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Yu-Beng Leau","raw_affiliation_strings":["Universiti Malaysia Sabah,Cybersecurity Research Lab, Faculty of Computing and Informatics,Kota Kinabalu,Malaysia","Cybersecurity Research Lab, Faculty of Computing and Informatics, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia"],"affiliations":[{"raw_affiliation_string":"Universiti Malaysia Sabah,Cybersecurity Research Lab, Faculty of Computing and Informatics,Kota Kinabalu,Malaysia","institution_ids":["https://openalex.org/I161371597"]},{"raw_affiliation_string":"Cybersecurity Research Lab, Faculty of Computing and Informatics, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia","institution_ids":["https://openalex.org/I161371597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110648043"],"corresponding_institution_ids":["https://openalex.org/I161371597"],"apc_list":null,"apc_paid":null,"fwci":0.4012,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61743555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"11","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"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":1.0,"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":0.9994999766349792,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983000159263611,"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/denial-of-service-attack","display_name":"Denial-of-service attack","score":0.878408670425415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8301059007644653},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7078092098236084},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5992577075958252},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5805470943450928},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5784472227096558},{"id":"https://openalex.org/keywords/application-layer-ddos-attack","display_name":"Application layer DDoS attack","score":0.5487133860588074},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5480802059173584},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5462507605552673},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5453920960426331},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5344679951667786},{"id":"https://openalex.org/keywords/application-layer","display_name":"Application layer","score":0.5270136594772339},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.5113632082939148},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.45954838395118713},{"id":"https://openalex.org/keywords/network-layer","display_name":"Network layer","score":0.4270060658454895},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4185439646244049},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4081820845603943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3557840883731842},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1514190137386322},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.12264260649681091}],"concepts":[{"id":"https://openalex.org/C38822068","wikidata":"https://www.wikidata.org/wiki/Q131406","display_name":"Denial-of-service attack","level":3,"score":0.878408670425415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8301059007644653},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7078092098236084},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5992577075958252},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5805470943450928},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5784472227096558},{"id":"https://openalex.org/C120865594","wikidata":"https://www.wikidata.org/wiki/Q131406","display_name":"Application layer DDoS attack","level":4,"score":0.5487133860588074},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5480802059173584},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5462507605552673},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5453920960426331},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5344679951667786},{"id":"https://openalex.org/C190793597","wikidata":"https://www.wikidata.org/wiki/Q189768","display_name":"Application layer","level":3,"score":0.5270136594772339},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.5113632082939148},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.45954838395118713},{"id":"https://openalex.org/C117468950","wikidata":"https://www.wikidata.org/wiki/Q208074","display_name":"Network layer","level":3,"score":0.4270060658454895},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4185439646244049},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4081820845603943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3557840883731842},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1514190137386322},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.12264260649681091},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsecs58457.2023.10256383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsecs58457.2023.10256383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 8th International Conference On Software Engineering and Computer Systems (ICSECS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2033811087","https://openalex.org/W2047088851","https://openalex.org/W2334852362","https://openalex.org/W2416799949","https://openalex.org/W2579916179","https://openalex.org/W2590373591","https://openalex.org/W2783741806","https://openalex.org/W2805622383","https://openalex.org/W2885569475","https://openalex.org/W2896412072","https://openalex.org/W2904235330","https://openalex.org/W2923204647","https://openalex.org/W2946427082","https://openalex.org/W2951187092","https://openalex.org/W2969419315","https://openalex.org/W2969863169","https://openalex.org/W2981025625","https://openalex.org/W2991975645","https://openalex.org/W3009935482","https://openalex.org/W3010522687","https://openalex.org/W3015392399","https://openalex.org/W3024476475","https://openalex.org/W3081430061","https://openalex.org/W3088919849","https://openalex.org/W4224211479","https://openalex.org/W4242552899","https://openalex.org/W4285199572","https://openalex.org/W4285220762","https://openalex.org/W4320167429","https://openalex.org/W6766630991"],"related_works":["https://openalex.org/W2908108831","https://openalex.org/W2161084684","https://openalex.org/W2914968962","https://openalex.org/W2367604503","https://openalex.org/W3005836778","https://openalex.org/W2892142441","https://openalex.org/W2340488574","https://openalex.org/W2375951120","https://openalex.org/W2067598246","https://openalex.org/W2058199426"],"abstract_inverted_index":{"Edge":[0,15,20],"Computing":[1],"is":[2,26,38],"a":[3],"network":[4],"topology":[5],"made":[6],"up":[7],"of":[8,32,77],"three":[9,91],"layers:":[10],"Cloud":[11],"Server":[12,16],"Layer":[13,17,22],"(CSL),":[14],"(ESL),":[18],"and":[19,42,90,116,121,136,149],"Device":[21],"(EDL).":[23],"Therefore,":[24],"it":[25,67],"vulnerable":[27],"since":[28],"the":[29,73,133],"processing":[30],"capacity":[31],"loT":[33],"devices":[34,37],"or":[35,61],"mobile":[36],"insufficient":[39],"to":[40,46],"withstand":[41],"they":[43],"are":[44,96,130],"unable":[45],"implement":[47],"high-":[48],"level":[49],"security":[50,56,70],"measures":[51],"such":[52,105],"as":[53,98,106],"using":[54,119],"robust":[55],"protocols":[57],"like":[58],"HTTP/HTTPS,":[59],"FTP,":[60],"SMTP":[62],"at":[63],"this":[64,88],"layer.":[65],"Hence,":[66],"poses":[68],"considerable":[69],"risks,":[71],"particularly":[72],"Slow":[74],"Distributed":[75],"Denial":[76],"Service":[78],"(DDoS)":[79],"attacks.":[80,127],"Various":[81],"detection":[82,100,151],"methods":[83],"have":[84,102],"been":[85,103],"investigated":[86],"in":[87,123],"study,":[89],"machine":[92],"learning":[93,118],"algorithms":[94],"that":[95,138],"classified":[97],"anomaly-based":[99],"techniques":[101],"chosen,":[104],"CDAAE":[107],"(Conditional":[108],"Denoising":[109],"Adversarial":[110],"AutoEncoder),":[111],"CNN":[112,139],"(Convolutional":[113],"Neural":[114],"Network),":[115],"deep":[117],"\u2018relu\u2019":[120],"\u2018softmax\u2019":[122],"detecting":[124],"slow":[125],"DDoS":[126],"These":[128],"models":[129],"evaluated":[131],"with":[132,145],"CICIDS2017":[134],"dataset":[135],"show":[137],"has":[140],"achieved":[141],"better":[142],"overall":[143],"performance":[144],"shorter":[146],"training":[147],"times":[148],"high":[150],"accuracy.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
