{"id":"https://openalex.org/W1995027828","doi":"https://doi.org/10.1145/1330598.1330633","title":"Decoding efficiency of the MAP and the max-log MAP algorithm as a strategy in anomaly-based intrusion detection systems","display_name":"Decoding efficiency of the MAP and the max-log MAP algorithm as a strategy in anomaly-based intrusion detection systems","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W1995027828","doi":"https://doi.org/10.1145/1330598.1330633","mag":"1995027828"},"language":"en","primary_location":{"id":"doi:10.1145/1330598.1330633","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1330598.1330633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2007 international conference on Computer systems and technologies  - CompSysTech '07","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/A5054614772","display_name":"Veselina Zhecheva","orcid":null},"institutions":[{"id":"https://openalex.org/I31072267","display_name":"Burgas Free University","ror":"https://ror.org/02ek1bx64","country_code":"BG","type":"education","lineage":["https://openalex.org/I31072267"]}],"countries":["BG"],"is_corresponding":true,"raw_author_name":"Veselina Zhecheva","raw_affiliation_strings":["Burgas Free University","Burgas Free University#TAB#"],"affiliations":[{"raw_affiliation_string":"Burgas Free University","institution_ids":["https://openalex.org/I31072267"]},{"raw_affiliation_string":"Burgas Free University#TAB#","institution_ids":["https://openalex.org/I31072267"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078629576","display_name":"Evgeniya Nikolova","orcid":"https://orcid.org/0000-0001-8313-1572"},"institutions":[{"id":"https://openalex.org/I31072267","display_name":"Burgas Free University","ror":"https://ror.org/02ek1bx64","country_code":"BG","type":"education","lineage":["https://openalex.org/I31072267"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Evgeniya Nikolova","raw_affiliation_strings":["Burgas Free University","Burgas Free University#TAB#"],"affiliations":[{"raw_affiliation_string":"Burgas Free University","institution_ids":["https://openalex.org/I31072267"]},{"raw_affiliation_string":"Burgas Free University#TAB#","institution_ids":["https://openalex.org/I31072267"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054614772"],"corresponding_institution_ids":["https://openalex.org/I31072267"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10404596,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.9939000010490417,"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/decoding-methods","display_name":"Decoding methods","score":0.8351868391036987},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.741981029510498},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.695095956325531},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6679360866546631},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6089425086975098},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5415750741958618},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.47354191541671753},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4249511957168579},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4218360185623169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42168763279914856},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4058248996734619},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3758033215999603},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1804068386554718}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8351868391036987},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.741981029510498},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.695095956325531},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6679360866546631},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6089425086975098},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5415750741958618},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.47354191541671753},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4249511957168579},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4218360185623169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42168763279914856},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4058248996734619},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3758033215999603},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1804068386554718},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1330598.1330633","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1330598.1330633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2007 international conference on Computer systems and technologies  - CompSysTech '07","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":9,"referenced_works":["https://openalex.org/W7318427","https://openalex.org/W1562890122","https://openalex.org/W1562979145","https://openalex.org/W1941427975","https://openalex.org/W2086469601","https://openalex.org/W2105779206","https://openalex.org/W2125838338","https://openalex.org/W2128217000","https://openalex.org/W2141619954"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2143820878","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4300558037","https://openalex.org/W4377864969"],"abstract_inverted_index":{"Hidden":[0],"Markov":[1],"Methodology,":[2],"with":[3,69],"particular":[4],"care":[5],"to":[6],"the":[7,11,28,47,51,60,63],"parameter":[8],"estimation":[9],"and":[10,62],"training":[12,39],"phase,":[13],"represents":[14],"a":[15,57,83],"powerful":[16],"finite":[17],"state":[18],"machine,":[19],"suitable":[20],"in":[21,33,85],"various":[22],"recognition":[23,53],"problems.":[24],"This":[25],"paper":[26],"investigated":[27],"capabilities":[29],"of":[30],"this":[31],"methodology":[32],"anomaly-based":[34],"intrusion":[35],"detection.":[36],"The":[37,75],"model":[38],"is":[40,54,88],"performed":[41],"using":[42],"ML":[43],"criterion,":[44],"based":[45,71],"on":[46],"gradient":[48,70],"method.":[49],"Since":[50],"attacks":[52],"considered":[55],"as":[56,82,90],"decoding":[58,80],"problem,":[59],"MAP":[61,66],"max":[64],"log":[65],"algorithms":[67,81],"combined":[68],"method":[72],"were":[73],"applied.":[74],"comparison":[76],"between":[77],"these":[78],"two":[79],"strategy":[84],"anomalybased":[86],"IDS":[87],"represented":[89],"well.":[91]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
