Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385647911> ?p ?o ?g. }
Showing items 1 to 47 of
47
with 100 items per page.
- W4385647911 endingPage "219" @default.
- W4385647911 startingPage "210" @default.
- W4385647911 abstract "Artificial Intelligence (AI) tools are promising multifaceted techniques for addressing the most mundane tasks for greater efficiency and high productivity. Cyber security space is one of the areas that AI is promising to revolutionize. This study will develop a conceptual and theoretical framework to support a research design that can simulate research in understanding how AI can be applied to Cyber Kill Chain phases. This study has reviewed 21 journal and conference articles mostly from IEEE Xplore database. An overview of the application of artificial intelligence (AI) in cybersecurity, particularly within the framework of the Cyber Kill Chain was provided in this study. It also emphasizes the limitations of traditional security approaches and the necessity for innovative and intelligent defense methodologies. The results of reviewing the relevant literatures discovered that the key components of cybersecurity, includes identity, asset management, automated configuration management, security control validation, governance, risk assessment, and vulnerability identification. A theoretical framework was developed which introduces the Cyber Kill Chain model with a Unified Kill Chain model to address its shortcomings. Application of AI in cybersecurity offers an optimistic solutions to address the evolving threat landscape. AI techniques, such as machine learning, anomaly detection, and behavioural analysis, have shown great potential in enhancing various aspects of cybersecurity. However, challenges related to data quality, adversarial attacks, and privacy concerns need to be addressed for successful implementation. Further research and development are crucial to fully harness the power of AI in cybersecurity and stay ahead of evolving cyber threats." @default.
- W4385647911 created "2023-08-09" @default.
- W4385647911 creator A5064019527 @default.
- W4385647911 creator A5073559553 @default.
- W4385647911 creator A5085159084 @default.
- W4385647911 date "2023-08-08" @default.
- W4385647911 modified "2023-10-16" @default.
- W4385647911 title "Cyber Kill Chain Analysis Using Artificial Intelligence" @default.
- W4385647911 doi "https://doi.org/10.9734/ajrcos/2023/v16i3357" @default.
- W4385647911 hasPublicationYear "2023" @default.
- W4385647911 type Work @default.
- W4385647911 citedByCount "0" @default.
- W4385647911 crossrefType "journal-article" @default.
- W4385647911 hasAuthorship W4385647911A5064019527 @default.
- W4385647911 hasAuthorship W4385647911A5073559553 @default.
- W4385647911 hasAuthorship W4385647911A5085159084 @default.
- W4385647911 hasBestOaLocation W43856479111 @default.
- W4385647911 hasConcept C2522767166 @default.
- W4385647911 hasConcept C38652104 @default.
- W4385647911 hasConcept C41008148 @default.
- W4385647911 hasConcept C76178495 @default.
- W4385647911 hasConcept C95713431 @default.
- W4385647911 hasConceptScore W4385647911C2522767166 @default.
- W4385647911 hasConceptScore W4385647911C38652104 @default.
- W4385647911 hasConceptScore W4385647911C41008148 @default.
- W4385647911 hasConceptScore W4385647911C76178495 @default.
- W4385647911 hasConceptScore W4385647911C95713431 @default.
- W4385647911 hasIssue "3" @default.
- W4385647911 hasLocation W43856479111 @default.
- W4385647911 hasOpenAccess W4385647911 @default.
- W4385647911 hasPrimaryLocation W43856479111 @default.
- W4385647911 hasRelatedWork W1657769681 @default.
- W4385647911 hasRelatedWork W2116998925 @default.
- W4385647911 hasRelatedWork W2253962881 @default.
- W4385647911 hasRelatedWork W2331043530 @default.
- W4385647911 hasRelatedWork W2350216306 @default.
- W4385647911 hasRelatedWork W2362011720 @default.
- W4385647911 hasRelatedWork W2376398693 @default.
- W4385647911 hasRelatedWork W3094394807 @default.
- W4385647911 hasRelatedWork W3125854234 @default.
- W4385647911 hasRelatedWork W4200107337 @default.
- W4385647911 hasVolume "16" @default.
- W4385647911 isParatext "false" @default.
- W4385647911 isRetracted "false" @default.
- W4385647911 workType "article" @default.