Matches in SemOpenAlex for { <https://semopenalex.org/work/W3171540545> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W3171540545 abstract "With the rapid development of the Internet, the number of cyber threats increases exponentially. More and more cyber threats come from new and unexpected sources, leading organizations and individuals to facing more security risks and vulnerabilities. Automatically obtaining and structuring security information from cybersecurity news can help security analysts to identify useful information more quickly. Most existing studies on extracting security events merely focused on the event detection task, aiming to discover and categorize cybersecurity events from the plain text. However, such event detection methods cannot capture useful information such as who performed the cyberattack, when the data breach event happened, who was the victim, etc. These arguments of a cybersecurity event are needed for analysts to get cybersecurity event details directly. Several studies have tried to extract rich semantic information of cybersecurity events, but they merely focused on extracting event arguments within the sentence scope. These studies still have limitations when the event arguments needed to recognize spread across multiple sentences. In this paper, we proposed a framework that effectively extracts cybersecurity events at the document-level from cybersecurity news, blogs and announcements. We model the document level event extraction task as a sequence tagging problem. The goal is to identify the related arguments of cybersecurity events from documents. Firstly, we get the characters embedding and incorporate the word information into the character representations. Then we design a sliding window mechanism to get the cross-sentence context information. Finally, we predict the label of each character. We build a Chinese cybersecurity dataset and use three methods to evaluate our method, and the experimental results demonstrate the effectiveness of the proposed model." @default.
- W3171540545 created "2021-06-22" @default.
- W3171540545 creator A5003850660 @default.
- W3171540545 creator A5020151253 @default.
- W3171540545 creator A5031411556 @default.
- W3171540545 creator A5047760178 @default.
- W3171540545 creator A5062691207 @default.
- W3171540545 creator A5072706004 @default.
- W3171540545 creator A5079647672 @default.
- W3171540545 date "2021-05-05" @default.
- W3171540545 modified "2023-10-18" @default.
- W3171540545 title "A Framework for Document-level Cybersecurity Event Extraction from Open Source Data" @default.
- W3171540545 cites W1953683851 @default.
- W3171540545 cites W2072628044 @default.
- W3171540545 cites W2250999640 @default.
- W3171540545 cites W2475245295 @default.
- W3171540545 cites W2514342821 @default.
- W3171540545 cites W2803884531 @default.
- W3171540545 cites W2891553865 @default.
- W3171540545 cites W2940125701 @default.
- W3171540545 cites W2952437275 @default.
- W3171540545 cites W2970684294 @default.
- W3171540545 cites W2998233576 @default.
- W3171540545 cites W2998286882 @default.
- W3171540545 cites W4248806346 @default.
- W3171540545 doi "https://doi.org/10.1109/cscwd49262.2021.9437745" @default.
- W3171540545 hasPublicationYear "2021" @default.
- W3171540545 type Work @default.
- W3171540545 sameAs 3171540545 @default.
- W3171540545 citedByCount "2" @default.
- W3171540545 countsByYear W31715405452022 @default.
- W3171540545 countsByYear W31715405452023 @default.
- W3171540545 crossrefType "proceedings-article" @default.
- W3171540545 hasAuthorship W3171540545A5003850660 @default.
- W3171540545 hasAuthorship W3171540545A5020151253 @default.
- W3171540545 hasAuthorship W3171540545A5031411556 @default.
- W3171540545 hasAuthorship W3171540545A5047760178 @default.
- W3171540545 hasAuthorship W3171540545A5062691207 @default.
- W3171540545 hasAuthorship W3171540545A5072706004 @default.
- W3171540545 hasAuthorship W3171540545A5079647672 @default.
- W3171540545 hasConcept C121332964 @default.
- W3171540545 hasConcept C151730666 @default.
- W3171540545 hasConcept C154945302 @default.
- W3171540545 hasConcept C162324750 @default.
- W3171540545 hasConcept C187736073 @default.
- W3171540545 hasConcept C23123220 @default.
- W3171540545 hasConcept C2524010 @default.
- W3171540545 hasConcept C2777530160 @default.
- W3171540545 hasConcept C2779343474 @default.
- W3171540545 hasConcept C2779662365 @default.
- W3171540545 hasConcept C2780451532 @default.
- W3171540545 hasConcept C2780861071 @default.
- W3171540545 hasConcept C33923547 @default.
- W3171540545 hasConcept C38652104 @default.
- W3171540545 hasConcept C41008148 @default.
- W3171540545 hasConcept C62520636 @default.
- W3171540545 hasConcept C86803240 @default.
- W3171540545 hasConceptScore W3171540545C121332964 @default.
- W3171540545 hasConceptScore W3171540545C151730666 @default.
- W3171540545 hasConceptScore W3171540545C154945302 @default.
- W3171540545 hasConceptScore W3171540545C162324750 @default.
- W3171540545 hasConceptScore W3171540545C187736073 @default.
- W3171540545 hasConceptScore W3171540545C23123220 @default.
- W3171540545 hasConceptScore W3171540545C2524010 @default.
- W3171540545 hasConceptScore W3171540545C2777530160 @default.
- W3171540545 hasConceptScore W3171540545C2779343474 @default.
- W3171540545 hasConceptScore W3171540545C2779662365 @default.
- W3171540545 hasConceptScore W3171540545C2780451532 @default.
- W3171540545 hasConceptScore W3171540545C2780861071 @default.
- W3171540545 hasConceptScore W3171540545C33923547 @default.
- W3171540545 hasConceptScore W3171540545C38652104 @default.
- W3171540545 hasConceptScore W3171540545C41008148 @default.
- W3171540545 hasConceptScore W3171540545C62520636 @default.
- W3171540545 hasConceptScore W3171540545C86803240 @default.
- W3171540545 hasFunder F4320321001 @default.
- W3171540545 hasFunder F4320321133 @default.
- W3171540545 hasFunder F4320335777 @default.
- W3171540545 hasLocation W31715405451 @default.
- W3171540545 hasOpenAccess W3171540545 @default.
- W3171540545 hasPrimaryLocation W31715405451 @default.
- W3171540545 hasRelatedWork W2035950535 @default.
- W3171540545 hasRelatedWork W2081647779 @default.
- W3171540545 hasRelatedWork W2086064646 @default.
- W3171540545 hasRelatedWork W2115485936 @default.
- W3171540545 hasRelatedWork W2119135658 @default.
- W3171540545 hasRelatedWork W2351555819 @default.
- W3171540545 hasRelatedWork W2357241418 @default.
- W3171540545 hasRelatedWork W2614687638 @default.
- W3171540545 hasRelatedWork W3019278637 @default.
- W3171540545 hasRelatedWork W3120027560 @default.
- W3171540545 isParatext "false" @default.
- W3171540545 isRetracted "false" @default.
- W3171540545 magId "3171540545" @default.
- W3171540545 workType "article" @default.