Matches in SemOpenAlex for { <https://semopenalex.org/work/W4377989764> ?p ?o ?g. }
Showing items 1 to 66 of
66
with 100 items per page.
- W4377989764 abstract "Abstract Intrusion Detection Systems (IDS) have traditionally been designed with a centralized structure, where a single device is responsible for monitoring the entire network. However, with the increasing complexity and scale of modern networks, this approach has become less effective. Centralized IDS can suffer from performance issues, limited scalability, and vulnerability to targeted attacks. To address these limitations, there is a growing need to develop collaborative IDS that can distribute the workload across multiple devices and better handle large-scale networks. Collaboration enables IDS to detect intrusions more effectively by combining and analyzing data from multiple sources. The adoption of blockchain technology is essential in achieving a collaborative IDS. Blockchain provides a secure, decentralized way to store and exchange information between different devices, which is critical for building trust and ensuring the integrity of the system. Furthermore, machine learning algorithms can be used to improve the performance of IDS by detecting new and emerging threats. Machine learning can help to identify patterns and anomalies in network traffic, enabling the system to detect and respond to attacks more effectively. By combining these approaches, a reliable and scalable detection system can be developed. The collaborative IDS using blockchain technology and machine learning algorithms can improve the accuracy and efficiency of detecting network intrusions while maintaining the security and integrity of the system." @default.
- W4377989764 created "2023-05-25" @default.
- W4377989764 creator A5083073132 @default.
- W4377989764 creator A5085758758 @default.
- W4377989764 date "2023-05-24" @default.
- W4377989764 modified "2023-10-18" @default.
- W4377989764 title "Hybrid Collaborative Intrusion Detection System Based on Blockchain & Machine Learning" @default.
- W4377989764 cites W2954103930 @default.
- W4377989764 cites W3005632683 @default.
- W4377989764 cites W3023420531 @default.
- W4377989764 cites W3027095011 @default.
- W4377989764 cites W3040937085 @default.
- W4377989764 cites W3158456479 @default.
- W4377989764 cites W3167680842 @default.
- W4377989764 cites W3198789446 @default.
- W4377989764 cites W4306643055 @default.
- W4377989764 doi "https://doi.org/10.21203/rs.3.rs-2963689/v1" @default.
- W4377989764 hasPublicationYear "2023" @default.
- W4377989764 type Work @default.
- W4377989764 citedByCount "0" @default.
- W4377989764 crossrefType "posted-content" @default.
- W4377989764 hasAuthorship W4377989764A5083073132 @default.
- W4377989764 hasAuthorship W4377989764A5085758758 @default.
- W4377989764 hasBestOaLocation W43779897641 @default.
- W4377989764 hasConcept C111919701 @default.
- W4377989764 hasConcept C120314980 @default.
- W4377989764 hasConcept C121332964 @default.
- W4377989764 hasConcept C2778476105 @default.
- W4377989764 hasConcept C2778755073 @default.
- W4377989764 hasConcept C2779687700 @default.
- W4377989764 hasConcept C35525427 @default.
- W4377989764 hasConcept C38652104 @default.
- W4377989764 hasConcept C41008148 @default.
- W4377989764 hasConcept C48044578 @default.
- W4377989764 hasConcept C62520636 @default.
- W4377989764 hasConcept C77088390 @default.
- W4377989764 hasConcept C95713431 @default.
- W4377989764 hasConceptScore W4377989764C111919701 @default.
- W4377989764 hasConceptScore W4377989764C120314980 @default.
- W4377989764 hasConceptScore W4377989764C121332964 @default.
- W4377989764 hasConceptScore W4377989764C2778476105 @default.
- W4377989764 hasConceptScore W4377989764C2778755073 @default.
- W4377989764 hasConceptScore W4377989764C2779687700 @default.
- W4377989764 hasConceptScore W4377989764C35525427 @default.
- W4377989764 hasConceptScore W4377989764C38652104 @default.
- W4377989764 hasConceptScore W4377989764C41008148 @default.
- W4377989764 hasConceptScore W4377989764C48044578 @default.
- W4377989764 hasConceptScore W4377989764C62520636 @default.
- W4377989764 hasConceptScore W4377989764C77088390 @default.
- W4377989764 hasConceptScore W4377989764C95713431 @default.
- W4377989764 hasLocation W43779897641 @default.
- W4377989764 hasOpenAccess W4377989764 @default.
- W4377989764 hasPrimaryLocation W43779897641 @default.
- W4377989764 hasRelatedWork W1494029964 @default.
- W4377989764 hasRelatedWork W1596201972 @default.
- W4377989764 hasRelatedWork W1967954938 @default.
- W4377989764 hasRelatedWork W1986253068 @default.
- W4377989764 hasRelatedWork W2364921833 @default.
- W4377989764 hasRelatedWork W2380023786 @default.
- W4377989764 hasRelatedWork W2383698455 @default.
- W4377989764 hasRelatedWork W2385146268 @default.
- W4377989764 hasRelatedWork W2392884863 @default.
- W4377989764 hasRelatedWork W2546696010 @default.
- W4377989764 isParatext "false" @default.
- W4377989764 isRetracted "false" @default.
- W4377989764 workType "article" @default.