What question did this study set out to answer?

To address the limitations of conventional network forensics by exploring modern artificial intelligence and machine learning techniques for automated cyber threat detection.

November 22, 2024ElectronicsOpen Access

Leveraging AI for Network Threat Detection—A Conceptual Overview

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Authors

MPMuhammad Ali ParachaMind Australia SJSyed Usman JamilCharles Sturt University KSKhurram ShahzadUniversity of Limerick

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Implication

Conceptual analysis demonstrates automated threat detection in network traffic, highlighting faster investigation times without manual intervention.

Key Points

To address the limitations of conventional network forensics by exploring modern artificial intelligence and machine learning techniques for automated cyber threat detection.
Reviewed conventional network forensic approaches and their resource constraints in heterogeneous networks.
Explored machine learning (ML) and deep learning (DL) architectures applicable to traffic and behavioral pattern analysis.
Formulated a conceptual investigation model integrating automated AI/ML algorithms to monitor network traffic.
The conceptual framework automates the identification of unauthorized or illegal network activities without requiring human intervention.
Identified that applying deep learning models accelerates digital investigation timelines compared to conventional forensic tools.
Provides actionable, real-time forensic insights to network administrators to preempt and mitigate potential cyber attacks.

Cite This Study

Paracha et al. (2024) studied this question.

synapsesocial.com/papers/69dbef22f7e0c66ced836ef1 https://doi.org/10.3390/electronics13234611

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Implication

Conceptual analysis demonstrates automated threat detection in network traffic, highlighting faster investigation times without manual intervention.

Leveraging AI for Network Threat Detection—A Conceptual Overview

Discussion

Member takes

Implication

Key Points

Cite This Study

Leveraging AI for Network Threat Detection—A Conceptual Overview

Discussion

Member takes

Implication

Key Points

Cite This Study

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