Publication Information

{'id': 'https://openalex.org/W3011302839', 'doi': 'https://doi.org/10.1109/southeastcon42311.2019.9020560', 'title': 'Performance Evaluation of Different Feature Encoding Schemes on Cybersecurity Logs', 'display_name': 'Performance Evaluation of Different Feature Encoding Schemes on Cybersecurity Logs', 'publication_year': 2019, 'publication_date': '2019-04-01', 'ids': {'openalex': 'https://openalex.org/W3011302839', 'doi': 'https://doi.org/10.1109/southeastcon42311.2019.9020560', 'mag': '3011302839'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/southeastcon42311.2019.9020560', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306420927', 'display_name': 'SoutheastCon', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': None, 'host_organization_name': None, 'host_organization_lineage': [], 'host_organization_lineage_names': [], 'type': 'conference'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'proceedings-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5008822157', 'display_name': 'Eric M. Jackson', 'orcid': 'https://orcid.org/0000-0001-9306-9290'}, 'institutions': [{'id': 'https://openalex.org/I4210088792', 'display_name': 'United States Army', 'ror': 'https://ror.org/00afsp483', 'country_code': 'US', 'type': 'government', 'lineage': ['https://openalex.org/I1304082316', 'https://openalex.org/I1330347796', 'https://openalex.org/I4210088792']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Eric Jackson', 'raw_affiliation_strings': ['Information Technology Laboratatory, U.S. Army Engineering Reserch and Development Center, Vicksburg'], 'affiliations': [{'raw_affiliation_string': 'Information Technology Laboratatory, U.S. Army Engineering Reserch and Development Center, Vicksburg', 'institution_ids': ['https://openalex.org/I4210088792']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5016702627', 'display_name': 'Rajeev Agrawal', 'orcid': 'https://orcid.org/0000-0002-5415-5230'}, 'institutions': [{'id': 'https://openalex.org/I4210088792', 'display_name': 'United States Army', 'ror': 'https://ror.org/00afsp483', 'country_code': 'US', 'type': 'government', 'lineage': ['https://openalex.org/I1304082316', 'https://openalex.org/I1330347796', 'https://openalex.org/I4210088792']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Rajeev Agrawal', 'raw_affiliation_strings': ['Information Technology Laboratatory, U.S. Army Engineering Reserch and Development Center, Vicksburg'], 'affiliations': [{'raw_affiliation_string': 'Information Technology Laboratatory, U.S. Army Engineering Reserch and Development Center, Vicksburg', 'institution_ids': ['https://openalex.org/I4210088792']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 3.166, 'has_fulltext': False, 'cited_by_count': 30, 'citation_normalized_percentile': {'value': 0.866076, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 94, 'max': 95}, 'biblio': {'volume': None, 'issue': None, 'first_page': None, 'last_page': None}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10400', 'display_name': 'Network Security and Intrusion Detection', 'score': 0.9982, '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': 0.9982, '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/T10538', 'display_name': 'Data Mining Algorithms and Applications', 'score': 0.9932, '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'}}, {'id': 'https://openalex.org/T11512', 'display_name': 'Anomaly Detection Techniques and Applications', 'score': 0.9898, '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/feature', 'display_name': 'Feature (linguistics)', 'score': 0.62684786}], 'concepts': [{'id': 'https://openalex.org/C125411270', 'wikidata': 'https://www.wikidata.org/wiki/Q18653', 'display_name': 'Encoding (memory)', 'level': 2, 'score': 0.9295797}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.81639683}, {'id': 'https://openalex.org/C2776401178', 'wikidata': 'https://www.wikidata.org/wiki/Q12050496', 'display_name': 'Feature (linguistics)', 'level': 2, 'score': 0.62684786}, {'id': 'https://openalex.org/C124101348', 'wikidata': 'https://www.wikidata.org/wiki/Q172491', 'display_name': 'Data mining', 'level': 1, 'score': 0.59549254}, {'id': 'https://openalex.org/C98045186', 'wikidata': 'https://www.wikidata.org/wiki/Q205663', 'display_name': 'Process (computing)', 'level': 2, 'score': 0.508418}, {'id': 'https://openalex.org/C77618280', 'wikidata': 'https://www.wikidata.org/wiki/Q1155772', 'display_name': 'Scheme (mathematics)', 'level': 2, 'score': 0.4965511}, {'id': 'https://openalex.org/C20556612', 'wikidata': 'https://www.wikidata.org/wiki/Q4469374', 'display_name': 'Volume (thermodynamics)', 'level': 2, 'score': 0.4663932}, {'id': 'https://openalex.org/C35525427', 'wikidata': 'https://www.wikidata.org/wiki/Q745881', 'display_name': 'Intrusion detection system', 'level': 2, 'score': 0.43265206}, {'id': 'https://openalex.org/C153180895', 'wikidata': 'https://www.wikidata.org/wiki/Q7148389', 'display_name': 'Pattern recognition (psychology)', 'level': 2, 'score': 0.40563613}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.38363028}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.3819539}, {'id': 'https://openalex.org/C199360897', 'wikidata': 'https://www.wikidata.org/wiki/Q9143', 'display_name': 'Programming language', 'level': 1, 'score': 0.08240804}, {'id': 'https://openalex.org/C134306372', 'wikidata': 'https://www.wikidata.org/wiki/Q7754', 'display_name': 'Mathematical analysis', 'level': 1, '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/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C62520636', 'wikidata': 'https://www.wikidata.org/wiki/Q944', 'display_name': 'Quantum mechanics', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C138885662', 'wikidata': 'https://www.wikidata.org/wiki/Q5891', 'display_name': 'Philosophy', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C41895202', 'wikidata': 'https://www.wikidata.org/wiki/Q8162', 'display_name': 'Linguistics', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/southeastcon42311.2019.9020560', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306420927', 'display_name': 'SoutheastCon', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': None, 'host_organization_name': None, 'host_organization_lineage': [], 'host_organization_lineage_names': [], 'type': 'conference'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 8, 'referenced_works': ['https://openalex.org/W2035009069', 'https://openalex.org/W2068699890', 'https://openalex.org/W2094212314', 'https://openalex.org/W2188639852', 'https://openalex.org/W2794075952', 'https://openalex.org/W2883420024', 'https://openalex.org/W2914549402', 'https://openalex.org/W2949598955'], 'related_works': ['https://openalex.org/W4254602698', 'https://openalex.org/W2798121181', 'https://openalex.org/W2394461323', 'https://openalex.org/W2390009783', 'https://openalex.org/W2361044160', 'https://openalex.org/W2357468538', 'https://openalex.org/W2355007334', 'https://openalex.org/W2349441905', 'https://openalex.org/W1975289146', 'https://openalex.org/W1577110157'], 'abstract_inverted_index': {'Many': [0], 'cybersecurity': [1, 99], 'logs': [2], 'contain': [3], 'a': [4, 112], 'substantial': [5], 'volume': [6], 'of': [7, 36, 95], 'textual': [8, 38, 63], 'data': [9, 14, 39, 64], 'regarding': [10], 'security': [11], 'events.': [12], 'This': [13], 'needs': [15], 'to': [16, 19, 48, 61, 98, 101], 'be': [17, 29, 46], 'converted': [18], 'numerical': [20, 41, 66], 'types': [21], 'before': [22], 'any': [23], 'machine': [24], 'learning': [25], '(ML)': [26], 'algorithms': [27], 'can': [28], 'applied.': [30], 'Feature': [31], 'encoding': [32, 82, 104, 125, 132], 'is': [33], 'the': [34, 93, 107, 127], 'process': [35], 'transforming': [37], 'into': [40, 65], 'values': [42, 67], 'so': [43], 'they': [44], 'may': [45], 'applied': [47], 'ML': [49, 114], 'algorithms,': [50], 'resulting': [51], 'in': [52, 116], 'improved': [53], 'model': [54], 'accuracy.': [55], 'Researchers': [56], 'have': [57], 'used': [58, 110], 'many': [59], 'approaches': [60, 79], 'convert': [62], 'such': [68], 'as,': [69], '“Label': [70], 'Encoding”': [71, 74], '“One': [72], 'Hot': [73], 'and': [75], '“Binary': [76], 'Encoding”.': [77], 'These': [78], 'are': [80], 'useful': [81], 'schemes': [83], 'for': [84], 'dealing': [85], 'with': [86, 111], 'large': [87], 'scale': [88], 'text': [89], 'data.': [90], 'We': [91], 'examine': [92], 'application': [94], 'these': [96], 'methods': [97], 'datasets': [100], 'determine': [102], 'which': [103], 'scheme': [105], 'performs': [106], 'best': [108], 'when': [109], 'classification': [113], 'algorithm': [115], 'identifying': [117], 'intrusion': [118], 'detections.': [119], 'Experimental': [120], 'results': [121], 'show': [122], 'that': [123], 'label': [124], 'performed': [126], 'best,': [128], 'whereas': [129], 'one': [130], 'hot': [131], 'was': [133], 'least': [134], 'effective.': [135]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W3011302839', 'counts_by_year': [{'year': 2024, 'cited_by_count': 3}, {'year': 2023, 'cited_by_count': 11}, {'year': 2022, 'cited_by_count': 6}, {'year': 2021, 'cited_by_count': 8}, {'year': 2020, 'cited_by_count': 1}], 'updated_date': '2024-12-12T18:45:49.709862', 'created_date': '2020-03-23'}