Types of Encryption and Solutions
Advanced Encryption Standard (AES) 256-bit Encryption
Implementation: AES-256 is used to protect user data and transactional records in CapsureLabs data centers.
Challenges and Solutions: Implementing AES-256 requires complex key management systems. We have developed an internal key generation and rotation protocol to ensure their security. Hardware acceleration methods have been employed to handle computational loads, maintaining high performance without compromising security.
Transport Layer Security (TLS) 1.3
Implementation: TLS 1.3 is used to secure data transmitted between users and CapsureLabs servers.
Challenges and Solutions: Integrating TLS 1.3 encountered compatibility issues with older systems. We have developed a backward compatibility mechanism that allows safe use of previous TLS versions if necessary while maintaining the security of the newer protocol.
RSA 4096-bit Encryption
Implementation: RSA with a 4096-bit key is used for secure key exchange and digital signatures on the platform.
Challenges and Solutions: The primary challenge was the high computational intensity of RSA 4096-bit encryption. We optimized server infrastructure to efficiently handle these computations, ensuring secure and fast key exchanges without negatively impacting user experience.
Elliptic Curve Cryptography (ECC)
Implementation: ECC is primarily used for encrypting wallet information and confidential transaction data.
Challenges and Solutions: ECC requires careful selection of curves to prevent vulnerabilities. Our security team conducted extensive research to choose the most secure and efficient curves and implemented additional security checks to protect against potential attacks.
Quantum-Resistant Algorithms
Implementation: In preparation for potential threats from quantum computing, we are exploring and testing post-quantum cryptographic algorithms.
Challenges and Solutions: Given the nascent stage of quantum-resistant algorithms, CapsureLabs has invested in a specialized research team that monitors developments in this field. The team is working on integrating lattice-based cryptographic solutions balanced between security and performance.
Homomorphic Encryption
Implementation: Used in applications requiring computations on encrypted data, such as secure data analytics.
Challenges and Solutions: The high computational load of homomorphic encryption was a significant challenge. We developed specialized algorithms optimized for our infrastructure, allowing efficient computations without decrypting confidential information
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