{"id":"https://openalex.org/W3045174582","doi":null,"title":"APTGen: An Approach towards Generating Practical Dataset Labelled with Targeted Attack Sequences","display_name":"APTGen: An Approach towards Generating Practical Dataset Labelled with Targeted Attack Sequences","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3045174582","mag":"3045174582"},"language":"en","primary_location":{"id":"mag:3045174582","doi":null,"is_oa":false,"landing_page_url":"https://www.usenix.org/system/files/cset20-paper-takahashi.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},"volume":null,"type":"article","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/A5001202118","display_name":"Yusuke Takahashi","orcid":"https://orcid.org/0000-0002-6272-5758","observed_orcids":["https://orcid.org/0000-0002-6272-5758"]},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Takahashi","raw_affiliation_strings":["Nec Corporation"],"raw_orcid":"https://orcid.org/0000-0002-6272-5758","affiliations":[{"raw_affiliation_string":"Nec Corporation","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014691955","display_name":"Shigeyoshi Shima","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shigeyoshi Shima","raw_affiliation_strings":["Nec Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nec Corporation","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082125949","display_name":"Rui Tanabe","orcid":"https://orcid.org/0000-0002-0246-5720","observed_orcids":["https://orcid.org/0000-0002-0246-5720"]},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Rui Tanabe","raw_affiliation_strings":["Institute of Advanced Sciences, Yokohama National University"],"raw_orcid":"https://orcid.org/0000-0002-0246-5720","affiliations":[{"raw_affiliation_string":"Institute of Advanced Sciences, Yokohama National University","institution_ids":["https://openalex.org/I180203408"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028367744","display_name":"Katsunari Yoshioka","orcid":"https://orcid.org/0000-0003-0964-8631","observed_orcids":["https://orcid.org/0000-0003-0964-8631"]},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsunari Yoshioka","raw_affiliation_strings":["[Graduate School of Environment and Information Sciences, Yokohama National University]"],"raw_orcid":"https://orcid.org/0000-0003-0964-8631","affiliations":[{"raw_affiliation_string":"[Graduate School of Environment and Information Sciences, Yokohama National University]","institution_ids":["https://openalex.org/I180203408"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4207,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.61293019,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.6420999765396118,"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":0.6420999765396118,"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":0.20340000092983246,"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/T10734","display_name":"Information and Cyber Security","score":0.044599998742341995,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/targeted-attacks","display_name":"targeted attacks","score":0.7269999980926514},{"id":"https://openalex.org/keywords/adversarial-machine-learning","display_name":"adversarial learning","score":0.5320000052452087}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6287534236907959}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3045174582","doi":null,"is_oa":false,"landing_page_url":"https://www.usenix.org/system/files/cset20-paper-takahashi.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":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2187089797","https://openalex.org/W2399906603","https://openalex.org/W2560828726","https://openalex.org/W2617200927","https://openalex.org/W2752373508","https://openalex.org/W2888810024"],"related_works":["https://openalex.org/W7166564474","https://openalex.org/W4409269984","https://openalex.org/W6885090895","https://openalex.org/W3202405209","https://openalex.org/W7028841820","https://openalex.org/W2804182360","https://openalex.org/W7125471891","https://openalex.org/W2902024303","https://openalex.org/W4399716007","https://openalex.org/W3152911549"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2020-07-29T00:00:00"}