{"id":"https://openalex.org/W2500744688","doi":"https://doi.org/10.1109/iccomm.2016.7528307","title":"Multiple time series fisher periodicity test for the detection of the distributed new shrew attacks","display_name":"Multiple time series fisher periodicity test for the detection of the distributed new shrew attacks","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2500744688","doi":"https://doi.org/10.1109/iccomm.2016.7528307","mag":"2500744688"},"language":"en","primary_location":{"id":"doi:10.1109/iccomm.2016.7528307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccomm.2016.7528307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Communications (COMM)","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/A5060438816","display_name":"Paul Cotae","orcid":"https://orcid.org/0000-0003-2339-5132"},"institutions":[{"id":"https://openalex.org/I174612323","display_name":"University of the District of Columbia","ror":"https://ror.org/037wegn60","country_code":"US","type":"education","lineage":["https://openalex.org/I174612323"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Paul Cotae","raw_affiliation_strings":["Electrical and Computer Engineering Department, University of the District of Columbia, Washington DC, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of the District of Columbia, Washington DC, USA","institution_ids":["https://openalex.org/I174612323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102133881","display_name":"Myong Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I174612323","display_name":"University of the District of Columbia","ror":"https://ror.org/037wegn60","country_code":"US","type":"education","lineage":["https://openalex.org/I174612323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Myong Kang","raw_affiliation_strings":["Electrical and Computer Engineering Department, University of the District of Columbia, Washington DC, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of the District of Columbia, Washington DC, USA","institution_ids":["https://openalex.org/I174612323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021565297","display_name":"Alexander Velazquez","orcid":"https://orcid.org/0000-0001-5951-6288"},"institutions":[{"id":"https://openalex.org/I4388482696","display_name":"Naval Research Laboratory Information Technology Division","ror":"https://ror.org/04xfp8b22","country_code":null,"type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028","https://openalex.org/I4388482696"]},{"id":"https://openalex.org/I1288214837","display_name":"United States Naval Research Laboratory","ror":"https://ror.org/04d23a975","country_code":"US","type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander Velazquez","raw_affiliation_strings":["Center for High Assurance Computer Systems Code 5540, Naval Research Laboratory, Washington DC, USA"],"affiliations":[{"raw_affiliation_string":"Center for High Assurance Computer Systems Code 5540, Naval Research Laboratory, Washington DC, USA","institution_ids":["https://openalex.org/I1288214837","https://openalex.org/I4388482696"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060438816"],"corresponding_institution_ids":["https://openalex.org/I174612323"],"apc_list":null,"apc_paid":null,"fwci":1.1941407,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.82499906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"9","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998000264167786,"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":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9941999912261963,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/shrew","display_name":"Shrew","score":0.870733380317688},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.7439414262771606},{"id":"https://openalex.org/keywords/denial-of-service-attack","display_name":"Denial-of-service attack","score":0.6402449011802673},{"id":"https://openalex.org/keywords/exact-test","display_name":"Exact test","score":0.558260440826416},{"id":"https://openalex.org/keywords/test-statistic","display_name":"Test statistic","score":0.5271764993667603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5060386061668396},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5038215517997742},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.4945778548717499},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.4698159992694855},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4551955461502075},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3958307206630707},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3403363823890686},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08907416462898254}],"concepts":[{"id":"https://openalex.org/C2777755905","wikidata":"https://www.wikidata.org/wiki/Q41631","display_name":"Shrew","level":2,"score":0.870733380317688},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7439414262771606},{"id":"https://openalex.org/C38822068","wikidata":"https://www.wikidata.org/wiki/Q131406","display_name":"Denial-of-service attack","level":3,"score":0.6402449011802673},{"id":"https://openalex.org/C191093355","wikidata":"https://www.wikidata.org/wiki/Q9250577","display_name":"Exact test","level":2,"score":0.558260440826416},{"id":"https://openalex.org/C169857963","wikidata":"https://www.wikidata.org/wiki/Q1461038","display_name":"Test statistic","level":3,"score":0.5271764993667603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5060386061668396},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5038215517997742},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.4945778548717499},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.4698159992694855},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4551955461502075},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3958307206630707},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3403363823890686},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08907416462898254},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccomm.2016.7528307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccomm.2016.7528307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Communications (COMM)","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":25,"referenced_works":["https://openalex.org/W347494422","https://openalex.org/W1757837788","https://openalex.org/W1990379013","https://openalex.org/W1990492445","https://openalex.org/W2001396011","https://openalex.org/W2010702129","https://openalex.org/W2020363552","https://openalex.org/W2041442343","https://openalex.org/W2046284844","https://openalex.org/W2049787869","https://openalex.org/W2066248334","https://openalex.org/W2085576685","https://openalex.org/W2091643757","https://openalex.org/W2097638521","https://openalex.org/W2098263785","https://openalex.org/W2124748010","https://openalex.org/W2130583399","https://openalex.org/W2135657996","https://openalex.org/W2164446240","https://openalex.org/W2263224228","https://openalex.org/W2266434006","https://openalex.org/W2994517056","https://openalex.org/W2997000181","https://openalex.org/W3015894552","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3015822731","https://openalex.org/W2075332338","https://openalex.org/W1970221037","https://openalex.org/W4386776152","https://openalex.org/W1826709224","https://openalex.org/W2135903028","https://openalex.org/W2488034322","https://openalex.org/W2913739054","https://openalex.org/W4385820860","https://openalex.org/W1449571481"],"abstract_inverted_index":{"We":[0,57,97],"focus":[1],"on":[2,15,62],"the":[3,47,71,100],"detection":[4],"of":[5,9,34,43,49,70,78,87],"Low":[6],"Rate":[7],"Denial":[8],"Service":[10],"Attacks":[11],"(LR":[12],"DoS)":[13],"based":[14,61],"their":[16],"spectral":[17],"properties.":[18],"Fisher":[19,50,63,79,88],"g-statistics":[20,80],"test":[21,52,65,81,90],"for":[22,82,91],"one":[23,83],"time":[24,55,84,93],"series":[25,85,94],"was":[26],"used":[27],"to":[28,53],"detect":[29],"low":[30],"frequency":[31],"periodic":[32],"bursts":[33],"Shrew":[35,38,74,103,107],"and":[36,86,104],"New":[37,73,102,106],"attacks.":[39,75],"The":[40],"main":[41],"contribution":[42],"this":[44],"paper":[45],"is":[46],"extension":[48],"g-statistic":[51],"multiple":[54,92],"series.":[56],"developed":[58],"an":[59,110],"algorithm":[60],"G-statistics":[64,89],"that":[66],"identifies":[67],"all":[68],"attackers":[69],"Distributed":[72,105],"Numerical":[76],"examples":[77],"are":[95],"provided.":[96],"have":[98],"simulated":[99],"Shrew,":[101],"attacks":[108],"with":[109],"NS-3":[111],"simulator.":[112]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
