This article explains Apache Tika's core features, architecture, and common use cases, then provides a step‑by‑step Spring Boot tutorial that integrates Tika to extract file content, detect personal identifiers with regex, and return results via a REST API for data‑loss‑prevention.
This guide demonstrates how to integrate Apache Tika into a Spring Boot application to automatically extract file content, detect sensitive data such as ID numbers, credit cards, and phone numbers using regular expressions, and implement data leak protection through a REST API with code examples.
This article explains Apache Tika's core features, architecture, and multiple application scenarios, then provides a step‑by‑step guide to embed Tika in a Spring Boot project to extract file content, detect personal data such as ID numbers, credit cards and phone numbers using regular expressions, and protect against data leakage.
This article demonstrates how to integrate Apache Tika into a Spring Boot application to automatically extract file content, detect sensitive data such as ID numbers, credit cards, and phone numbers using regex, and implement data leakage protection through RESTful file upload endpoints and optional front‑end UI.
This article introduces Apache Tika's capabilities for parsing a wide range of file formats, automatic type detection, OCR and language detection, then demonstrates how to integrate Tika into a Spring Boot service to extract text and identify sensitive information such as ID numbers, credit cards, and phone numbers.
This article explains Apache Tika’s core features and architecture, outlines common use‑cases, and provides a step‑by‑step Spring Boot tutorial—including Maven/Gradle setup, a service that extracts text with Tika, regex‑based sensitive‑info detection, a REST controller, optional front‑end, testing instructions, expected output, and extension ideas.
This article introduces Apache Tika, a powerful Java library for parsing many file formats, extracting text and metadata, performing OCR and language detection, and shows how to integrate it with Spring Boot to automatically detect sensitive information such as ID numbers, credit cards, and phone numbers.
This article details Youzan's end‑to‑end big data security architecture, covering data lifecycle protection, classification, access control, auditing, backup, privacy safeguards, sensitive data detection, masking strategies, and compliance processes to ensure secure and compliant data handling across the platform.
This article presents a machine‑learning approach for detecting sensitive data fields in a data warehouse by combining a Wide & Deep network with a TextCNN architecture, detailing data exploration, model design, training strategies, performance results, and deployment workflow.
