Category: Cryptographic Primitives

Decentralized Consensus Mechanisms

Decentralised consensus mechanisms are methods used by distributed computer networks to agree on a shared record of data, such as transactions or events. Instead of relying on a single authority, these networks use rules and algorithms to ensure everyone has the same version of the truth. This helps prevent fraud, double-spending, or manipulation, making the…

Decentralized Consensus Mechanisms

Decentralised consensus mechanisms are systems that allow many computers or users to agree on the state of information without needing a central authority. These mechanisms help keep data accurate and trustworthy across a network, even when some participants might try to cheat or make mistakes. They are vital for technologies like cryptocurrencies, where everyone needs…

Secure Transaction Protocols

Secure transaction protocols are sets of rules and procedures that ensure information exchanged during digital transactions is protected from unauthorised access or tampering. They use encryption and authentication methods to keep payment details, personal data, and communication private and accurate. These protocols are essential for safe online banking, shopping, and any activity where sensitive information…

Decentralized Consensus Protocols

Decentralised consensus protocols are methods that allow many independent computers or participants to agree on a single version of information without relying on a central authority. These protocols make sure all participants reach the same decision, even if some of them fail or try to cheat. They are fundamental in systems where trust is distributed…

Secure Key Exchange

Secure key exchange is a method that allows two parties to share a secret code, called a cryptographic key, over a network without anyone else discovering it. This code is then used to encrypt and decrypt messages, keeping the communication private. Secure key exchange is essential for protecting sensitive information during online transactions or private…

Homomorphic Inference Models

Homomorphic inference models allow computers to make predictions or decisions using encrypted data without needing to decrypt it. This means sensitive information can stay private during processing, reducing the risk of data breaches. The process uses special mathematical techniques so that results are accurate, even though the data remains unreadable during computation.

Encrypted Model Processing

Encrypted model processing is a method where artificial intelligence models operate directly on encrypted data, ensuring privacy and security. This means the data stays protected throughout the entire process, even while being analysed or used to make predictions. The goal is to allow useful computations without ever exposing the original, sensitive data to the model…