Conceptio › Archive › OpenAlex
OpenAlex metadata only CC BY 4.0

Explainable deep learning approach for advanced persistent threats (APTs) detection in cybersecurity: a review

Noor Hazlina Abdul Mutalib et al. · 2024
OpenAlex · Papers · License: CC BY 4.0 · 2024
Open Source ↗
artificial-intelligencecomputer-sciencecomputer-securitydeep-learning
Abstract In recent years, Advanced Persistent Threat (APT) attacks on network systems have increased through sophisticated fraud tactics. Traditional Intrusion Detection Systems (IDSs) suffer from low detection accuracy, high false-positive rates, and difficulty identifying unknown attacks such as r
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 976541
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive