{"id":"https://openalex.org/W4393302587","doi":"https://doi.org/10.1145/3640771.3640786","title":"Towards Feature Selection for Detecting LDDoS in SD-IoT of Smart Grids: A Multi-correlation Information EA-based Method","display_name":"Towards Feature Selection for Detecting LDDoS in SD-IoT of Smart Grids: A Multi-correlation Information EA-based Method","publication_year":2023,"publication_date":"2023-10-13","ids":{"openalex":"https://openalex.org/W4393302587","doi":"https://doi.org/10.1145/3640771.3640786"},"language":"en","primary_location":{"id":"doi:10.1145/3640771.3640786","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3640771.3640786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 2nd International Symposium on Computing and Artificial Intelligence","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/A5094275378","display_name":"Xuanyu Huan","orcid":"https://orcid.org/0009-0006-8477-7918"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanyu Huan","raw_affiliation_strings":["Guizhou Xiangming technology co., ltd. Guiyang, China; state key laboratory of big data, college of computer science and technology, Guizhou University, China","state key laboratory of big data, college of computer science and technology, Guizhou University, China"],"raw_orcid":"https://orcid.org/0009-0006-8477-7918","affiliations":[{"raw_affiliation_string":"Guizhou Xiangming technology co., ltd. Guiyang, China; state key laboratory of big data, college of computer science and technology, Guizhou University, China","institution_ids":["https://openalex.org/I178232147"]},{"raw_affiliation_string":"state key laboratory of big data, college of computer science and technology, Guizhou University, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102892849","display_name":"Jianpeng Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianpeng Zhao","raw_affiliation_strings":["State grid Zhejiang electric power Co.,ltd., information and telecommunication branch, China"],"raw_orcid":"https://orcid.org/0009-0004-4848-5753","affiliations":[{"raw_affiliation_string":"State grid Zhejiang electric power Co.,ltd., information and telecommunication branch, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033099283","display_name":"Chen Guo-lin","orcid":"https://orcid.org/0009-0001-3056-8145"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guolin Chen","raw_affiliation_strings":["Guizhou Xiangming technology co., ltd, China"],"raw_orcid":"https://orcid.org/0009-0001-3056-8145","affiliations":[{"raw_affiliation_string":"Guizhou Xiangming technology co., ltd, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085440365","display_name":"Xianchao Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xianchao Li","raw_affiliation_strings":["Guizhou Xiangming technology co., ltd, China"],"raw_orcid":"https://orcid.org/0009-0007-6805-9008","affiliations":[{"raw_affiliation_string":"Guizhou Xiangming technology co., ltd, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084299004","display_name":"Yunhe Cui","orcid":"https://orcid.org/0000-0002-0880-675X"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhe Cui","raw_affiliation_strings":["Guizhou Xiangming technology co., ltd. Guiyang, China; state key laboratory of big data, college of computer science and technology, Guizhou University, China","state key laboratory of big data, college of computer science and technology, Guizhou University, China"],"raw_orcid":"https://orcid.org/0000-0002-0880-675X","affiliations":[{"raw_affiliation_string":"Guizhou Xiangming technology co., ltd. Guiyang, China; state key laboratory of big data, college of computer science and technology, Guizhou University, China","institution_ids":["https://openalex.org/I178232147"]},{"raw_affiliation_string":"state key laboratory of big data, college of computer science and technology, Guizhou University, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071239962","display_name":"Hongzhen Yang","orcid":"https://orcid.org/0009-0003-3454-4620"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongzhen Yang","raw_affiliation_strings":["State grid Zhejiang electric power Co.,ltd., information and telecommunication branch, China"],"raw_orcid":"https://orcid.org/0009-0003-3454-4620","affiliations":[{"raw_affiliation_string":"State grid Zhejiang electric power Co.,ltd., information and telecommunication branch, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26029885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"60","last_page":"66"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9993000030517578,"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":0.9993000030517578,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.996999979019165,"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-selection","display_name":"Feature selection","score":0.8074118494987488},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7289612293243408},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.628084659576416},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.6193476319313049},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5793806314468384},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45568418502807617},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4321305751800537},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39965903759002686},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3945196270942688},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3200371563434601},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.1716158092021942},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11134162545204163}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8074118494987488},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7289612293243408},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.628084659576416},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.6193476319313049},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5793806314468384},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45568418502807617},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4321305751800537},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39965903759002686},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3945196270942688},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3200371563434601},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.1716158092021942},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11134162545204163},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3640771.3640786","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3640771.3640786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 2nd International Symposium on Computing and Artificial Intelligence","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":15,"referenced_works":["https://openalex.org/W2768718335","https://openalex.org/W2914754426","https://openalex.org/W2917908365","https://openalex.org/W2978930055","https://openalex.org/W3002711162","https://openalex.org/W3003377235","https://openalex.org/W3026601682","https://openalex.org/W3087886930","https://openalex.org/W3136174779","https://openalex.org/W3136574130","https://openalex.org/W3153313568","https://openalex.org/W3181610599","https://openalex.org/W3201640968","https://openalex.org/W3214071552","https://openalex.org/W4309867681"],"related_works":["https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W2625093826","https://openalex.org/W2950174689","https://openalex.org/W4200598720","https://openalex.org/W2921026492","https://openalex.org/W4247463117","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Abstract.":[0],"Internet":[1,13],"of":[2,14,26,54,61,66,75,91,104,159,167,177,209,215],"Things":[3,15],"(IoT)":[4],"plays":[5],"an":[6],"important":[7,78],"role":[8],"in":[9,28,32,48,80,86,132,151,213],"smart":[10,29,33,49,152],"grids.":[11,30,153],"Software-Defined":[12,19],"(SD-IoT)":[16],"employs":[17],"the":[18,23,42,76,102,110,118,156,164,168,171,206,210],"Networking":[20],"(SDN)":[21],"as":[22],"network":[24,39,43,92],"architecture":[25],"IoT":[27,46],"Hence,":[31],"grids,":[34],"SD-IoT":[35,150],"can":[36,198],"achieve":[37,199],"flexible":[38],"management":[40],"using":[41],"programmability.":[44],"Nevertheless,":[45],"devices":[47],"grids":[50],"face":[51],"a":[52,68,88,123,138,178,186],"number":[53,90],"security":[55,69],"issues.":[56],"The":[57,192],"Low-rate":[58],"Distributed":[59],"Denial":[60],"Service":[62],"(DDoS)":[63],"is":[64,73,122,175],"one":[65,74],"such":[67],"issue.":[70],"Detecting":[71],"LDDoS":[72,85,119,148,211],"most":[77],"steps":[79],"defending":[81],"LDDoS.":[82,105],"When":[83],"detecting":[84],"SD-IoT,":[87],"large":[89],"features":[93,115],"are":[94],"useless":[95],"or":[96],"even":[97],"have":[98],"side":[99],"effects":[100],"on":[101],"detection":[103,120,207,216,222],"Therefore,":[106],"how":[107],"to":[108,116,128,146],"choose":[109],"feature":[111,142,201],"subset":[112],"from":[113],"all":[114],"improve":[117,205],"performance":[121,208],"key":[124],"problem.":[125],"In":[126],"order":[127],"solve":[129],"these":[130],"problems,":[131],"this":[133],"work,":[134],"we":[135],"propose":[136],"ENTER,":[137],"multi-correlation":[139,157,172,180],"information":[140,158],"EA-based":[141],"selection":[143],"method,":[144],"used":[145],"detect":[147],"for":[149],"ENTER":[154,174,197],"calculates":[155],"different":[160],"individuals":[161],"and":[162,185,221],"adjusts":[163],"partial":[165],"variation":[166],"population":[169],"through":[170],"information.":[173],"consisted":[176],"novel":[179,187],"information-based":[181],"gene":[182],"mutation":[183],"strategy":[184],"local":[188],"optimum":[189],"bounce":[190],"strategy.":[191],"evaluation":[193],"results":[194],"indicate":[195],"that":[196],"high":[200],"compression":[202],"ratio":[203],"while":[204],"detector,":[212],"terms":[214],"precision,":[217],"accuracy,":[218],"recall,":[219],"f-score":[220],"time.":[223]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}