{"id":"https://openalex.org/W4387969881","doi":"https://doi.org/10.1109/cns59707.2023.10288658","title":"The Impact of Dynamic Learning on Adversarial Attacks in Networks (IEEE CNS 23 Poster)","display_name":"The Impact of Dynamic Learning on Adversarial Attacks in Networks (IEEE CNS 23 Poster)","publication_year":2023,"publication_date":"2023-10-02","ids":{"openalex":"https://openalex.org/W4387969881","doi":"https://doi.org/10.1109/cns59707.2023.10288658"},"language":"en","primary_location":{"id":"doi:10.1109/cns59707.2023.10288658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cns59707.2023.10288658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Conference on Communications and Network Security (CNS)","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/A5073229820","display_name":"Mohamed El Shehaby","orcid":null},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohamed El Shehaby","raw_affiliation_strings":["Carleton University,Systems and Computer Engineering","Systems and Computer Engineering, Carleton University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carleton University,Systems and Computer Engineering","institution_ids":["https://openalex.org/I67031392"]},{"raw_affiliation_string":"Systems and Computer Engineering, Carleton University","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103160400","display_name":"Ashraf Matrawy","orcid":"https://orcid.org/0000-0001-9220-4630"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ashraf Matrawy","raw_affiliation_strings":["Carleton University,School of Information Technology","School of Information Technology, Carleton University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carleton University,School of Information Technology","institution_ids":["https://openalex.org/I67031392"]},{"raw_affiliation_string":"School of Information Technology, Carleton University","institution_ids":["https://openalex.org/I67031392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I67031392"],"apc_list":null,"apc_paid":null,"fwci":0.7256,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65331742,"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":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9995999932289124,"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":0.9995999932289124,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9987999796867371,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.9400510787963867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7912206649780273},{"id":"https://openalex.org/keywords/adversarial-machine-learning","display_name":"Adversarial machine learning","score":0.712221622467041},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.6532790064811707},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5643409490585327},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.5493072867393494},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5370257496833801},{"id":"https://openalex.org/keywords/intrusion","display_name":"Intrusion","score":0.5003554821014404},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.495079904794693},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4742283523082733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4672173261642456},{"id":"https://openalex.org/keywords/vulnerability-assessment","display_name":"Vulnerability assessment","score":0.41852957010269165}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9400510787963867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7912206649780273},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.712221622467041},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.6532790064811707},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5643409490585327},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5493072867393494},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5370257496833801},{"id":"https://openalex.org/C158251709","wikidata":"https://www.wikidata.org/wiki/Q354025","display_name":"Intrusion","level":2,"score":0.5003554821014404},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.495079904794693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4742283523082733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4672173261642456},{"id":"https://openalex.org/C167063184","wikidata":"https://www.wikidata.org/wiki/Q1400839","display_name":"Vulnerability assessment","level":3,"score":0.41852957010269165},{"id":"https://openalex.org/C17409809","wikidata":"https://www.wikidata.org/wiki/Q161764","display_name":"Geochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C137176749","wikidata":"https://www.wikidata.org/wiki/Q4105337","display_name":"Psychological resilience","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cns59707.2023.10288658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cns59707.2023.10288658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Conference on Communications and Network Security (CNS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1945616565","https://openalex.org/W2789828921","https://openalex.org/W3116057280","https://openalex.org/W4220719329","https://openalex.org/W4226247258","https://openalex.org/W4378977274","https://openalex.org/W4380352238","https://openalex.org/W6640425456","https://openalex.org/W6811004965","https://openalex.org/W6853226899"],"related_works":["https://openalex.org/W3048732067","https://openalex.org/W4383468834","https://openalex.org/W4384648009","https://openalex.org/W4303645823","https://openalex.org/W2900159906","https://openalex.org/W4283221438","https://openalex.org/W4287828318","https://openalex.org/W2406556600","https://openalex.org/W2899811703","https://openalex.org/W2930249865"],"abstract_inverted_index":{"The":[0],"widespread":[1],"utilization":[2],"of":[3,23,50,65,78,96],"Machine":[4],"Learning":[5],"(ML)":[6],"in":[7,53,110],"Network":[8],"Intrusion":[9],"Detection":[10],"Systems":[11],"(NIDS)":[12],"provides":[13],"automated":[14],"and":[15,71,107],"highly":[16],"accurate":[17],"data":[18],"processing.":[19],"However,":[20],"the":[21,36,48,62,76,94,103],"vulnerability":[22],"ML":[24],"to":[25,29,101],"adversarial":[26,66,90],"attacks,":[27],"designed":[28],"manipulate":[30],"its":[31],"predictions,":[32],"raises":[33],"concerns.":[34],"Unlike":[35],"conventional":[37],"focus":[38],"on":[39,68,81],"computer":[40],"vision,":[41],"recent":[42],"attention":[43],"has":[44],"shifted":[45],"towards":[46],"assessing":[47],"feasibility":[49],"such":[51],"attacks":[52,67],"network":[54],"security.":[55],"This":[56,98],"poster":[57],"presents":[58],"a":[59],"taxonomy":[60],"outlining":[61],"practical":[63],"challenges":[64],"ML-based":[69],"NIDS":[70],"an":[72],"initial":[73],"investigation":[74],"into":[75],"impact":[77],"continuous":[79],"training":[80],"these":[82],"attacks.":[83,97],"Results":[84],"suggest":[85],"that":[86],"re-training,":[87],"even":[88],"without":[89],"training,":[91],"can":[92],"mitigate":[93],"effects":[95],"work":[99],"aims":[100],"highlight":[102],"gap":[104],"between":[105],"research":[106],"real-world":[108],"practicality":[109],"this":[111],"field.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
