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This article explains why encrypting data transmission is essential, and demonstrates three PHP-based methods—using HTTPS, symmetric encryption (e.g., AES), and asymmetric encryption with OpenSSL—to protect communication, along with sample code and key management tips.
The SecretFlow open‑source community and Chengdu Smart City Research Institute co‑host a deep‑tech meetup in Chengdu, featuring leading experts from Ant Group, UESTC, and industry partners who will explore privacy‑computing principles, SPU technology, federated learning, and real‑world financial and governmental use cases through talks and hands‑on workshops.
This article explains why encrypting data transmission is essential, introduces HTTPS, demonstrates how to apply symmetric encryption algorithms like AES in PHP, and shows how to use PHP's OpenSSL extension for asymmetric encryption, providing practical code examples and key‑management tips.
The article examines why deploying MySQL in Docker containers can lead to data‑security, performance, state‑management and resource‑isolation problems, outlines mitigation strategies, discusses scenarios where containerization is feasible, and concludes with a call for community discussion while also featuring promotional material for AI‑related services.
The article explains why deploying MySQL in Docker containers can lead to data loss, performance degradation, and insufficient resource isolation, while also offering strategies and scenarios where containerizing MySQL may still be feasible.
This article explains how to secure PHP data transmission using HTTPS, symmetric encryption (AES, DES, 3DES) and asymmetric encryption with OpenSSL, providing code examples and key management advice to protect confidentiality, integrity, and prevent man‑in‑the‑middle attacks.
The article outlines several reasons why running MySQL in Docker containers is problematic—data security, performance bottlenecks, statefulness, and resource isolation—while also promoting a ChatGPT community and related services.
The Jiangxi "Secure Computing Industry Summit" convened on December 17, announcing a collaborative "Secure Computing Industry Chain Co‑construction Action" that unites leading institutions to promote privacy‑preserving computation technologies across finance, healthcare, and public data, aiming to safely unlock the value of data assets.
This article examines data as a key production factor, analyzes the data‑element ecosystem, explains data‑trust concepts and solutions, reviews relevant policies and market structures, and presents domestic and international practices and case studies illustrating how data trusts can facilitate secure, efficient data circulation and fair benefit distribution.
This tutorial explains the fundamentals of data encryption, introduces differential privacy, and guides you through implementing a simple Caesar Cipher encrypt‑and‑decrypt program in Python, complete with code examples, execution instructions, and sample output.
The newly released National Data Standard System Construction Guide outlines a comprehensive framework for data supply, circulation, utilization, and security, emphasizing trusted infrastructure, controlled anonymization, cross‑domain usage control, and unified security assessment to enable safe, efficient data exchange across entities and industries.
This presentation reviews recent research on data security and utilization in the large‑model era, covering privacy‑preserving federated learning, knowledge‑transfer techniques, prototype‑based modeling, multi‑model fusion methods such as FuseGen, and introduces the federated knowledge computing platform FLAIR for both horizontal and vertical federated scenarios.
The article examines why deploying MySQL in Docker containers can be problematic, highlighting data‑security risks, performance bottlenecks, state‑management challenges, and limited resource isolation, while also noting specific scenarios where containerizing MySQL might still be viable.
The article examines data compliance challenges and legal risks during the training, application, and optimization stages of generative AI models, and offers concrete mitigation strategies such as respecting robots.txt, obtaining user consent, handling cross‑border data, and implementing robust security and governance measures.
The second Confidential Computing Forum at CNCC2024, held on October 26 in Hangzhou, gathers leading experts to discuss TEE‑based secure computing, present cutting‑edge research on confidentiality, side‑channel attacks, collaborative trust, and cryptographic applications, and outlines future directions for data security in the digital economy.
On September 25, Hangzhou announced the nation’s first secret‑computing center, offering end‑to‑end encrypted data storage, processing, and exchange to protect privacy while unlocking the value of big‑data across finance, healthcare, urban governance, commerce, and agriculture.
This article reviews the evolution of telephone sales, introduces large model technologies, outlines their integration into intelligent telemarketing workflows, discusses practical implementation methods, challenges, and future trends, and shares insights from industry experts on optimizing AI‑driven sales automation.
At the 2024 China Cryptography Society Cryptographic Chip Academic Conference in Chengdu, Ant Group’s Vice President Wei Tao highlighted the evolution from general to intelligent to secure computing, emphasizing the pivotal role of cryptographic chips in data protection, AI development, and cross‑industry applications while calling for deeper industry‑academia collaboration.
At Bilibili, the security team adapted Microsoft’s Security Development Lifecycle by establishing capability practices such as training, threat modeling, secure coding, and component scanning, integrating these processes into development pipelines through dedicated business partners, extending protection to the full data lifecycle, and evolving toward automated DevSecOps with in‑pipeline DAST and a custom vulnerability management platform.
This article explains why encrypting data transmission is essential, then demonstrates three PHP-based methods—enabling HTTPS via SSL/TLS, applying symmetric algorithms such as AES, and using asymmetric encryption with OpenSSL—to protect confidentiality, integrity, and authentication of web communications.