{"doi":"10.1016/j.procs.2017.05.204","title":"Domain Watcher: Detecting Malicious Domains Based on Local and Global Textual Features","abstract":null,"journal":"Procedia Computer Science","year":2017,"id":44509,"datarank":1.5796818307204334,"base_score":2.70805020110221,"endowment":2.70805020110221,"self_citation_contribution":0.40620753016533157,"citation_network_contribution":1.1734743005551018,"self_endowment_contribution":0.40620753016533157,"citer_contribution":1.1734743005551018,"corpus_percentile":null,"corpus_rank":null,"citation_count":14,"citer_count":14,"citers_with_citation_signal":13,"citers_with_endowment":13,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":209428,"name":"Tingwen Liu","orcid":null,"position":1,"is_corresponding":false},{"id":51372,"name":"Yang Zhang","orcid":"0000-0002-1483-9195","position":2,"is_corresponding":false},{"id":190633,"name":"Jing Ya","orcid":null,"position":3,"is_corresponding":false},{"id":209429,"name":"Jinqiao Shi","orcid":null,"position":4,"is_corresponding":false},{"id":209430,"name":"Yubin Wang","orcid":null,"position":5,"is_corresponding":false},{"id":51370,"name":"Panpan Zhang","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"base_score":2.70805020110221,"endowment":2.70805020110221,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"21062823","pmcid":null,"openalex_id":"https://openalex.org/W2623347760","authors":[],"funders":[],"total_grants":0,"fwci":2.4181,"citation_percentile":0.91095202,"influential_citations":1,"citation_trend":[{"year":2018,"count":1},{"year":2019,"count":2},{"year":2020,"count":2},{"year":2022,"count":5},{"year":2023,"count":1},{"year":2024,"count":2},{"year":2025,"count":1}],"oa_status":"gold","license":"cc-by-nc-nd","oa_locations":[{"url":"https://doi.org/10.1016/j.procs.2017.05.204","host_type":"journal"},{"url":"https://doi.org/10.1016/j.procs.2017.05.204","host_type":"GOLD"},{"url":"https://doi.org/10.1016/j.procs.2017.05.204","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S1877050917307974?httpAccept=text/xml","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S1877050917307974?httpAccept=text/plain","host_type":"publisher"}],"fields_of_study":["Spam and Phishing Detection","Network Security and Intrusion Detection","Advanced Malware Detection Techniques","Computer Science"],"mesh_terms":[],"keywords":["Computer science","Bigram","Domain (mathematical analysis)","Malware","Recall rate","Similarity (geometry)","Artificial intelligence","Property (philosophy)","Precision and recall","Data mining","Computer security"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Peace, Justice and strong institutions"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-01T06:37:18.407851Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}