Conceptio › Archive › Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi metadata only

Evaluasi Kinerja AI berbasis Recurrent Neural Network (RNN) dalam Mengidentifikasi Ancaman Phising pada URL Website

Nailah Azzahra et al.
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi · Papers
Open Source ↗
lstm
Phishing is an evolving form of cybercrime that targets users' sensitive information through URL manipulation. Conventional detection methods such as blacklists and signature-based approaches have become increasingly inadequate in addressing the dynamic variations of modern phishing attacks. This st
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 1003262
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