Store Now Decrypt Later (SNDL) is a cybersecurity concept that refers to the practice of storing encrypted data today with the intent to decrypt it in the future when more advanced tools and techniques are available. This approach is frequently used by cybercriminals and nation-state actors who can’t break the encryption of a target immediately. […]
Category: Quantum Computing
The Ring Learning With Errors Problem in Cybersecurity: Expanding Post-Quantum Cryptographic Horizons
The prospect of quantum computing has driven cybersecurity researchers to explore innovative cryptographic methods capable of withstanding the advanced capabilities of quantum machines. One such method is the Ring Learning With Errors (RLWE) problem, a variant of the Learning With Errors (LWE) problem. This article will delve into the RLWE problem, its significance in post-quantum […]
Traditional Encryption Algorithms in a Quantum Computing World: Assessing the Risks of ECC and RSA
Encryption algorithms such as RSA and elliptic curve cryptography (ECC) have been the bedrock of secure digital communications for decades. However, with the ongoing development of quantum computing, these traditional encryption algorithms face a significant risk of becoming obsolete. This article will explore the vulnerabilities of RSA and ECC in a quantum computing world, discuss […]
Quantum Computing and HTTPS: Assessing the Risks to Encryption Algorithms
The Hypertext Transfer Protocol Secure (HTTPS) has become the standard for secure communication on the internet, ensuring the confidentiality, integrity, and authenticity of data transmitted between users and servers. HTTPS relies on encryption algorithms like RSA and elliptic curve cryptography (ECC) to protect data during transmission. However, the emergence of quantum computing threatens the security […]
The Learning With Errors Problem in Cybersecurity: A Foundation for Post-Quantum Cryptography
As the field of cybersecurity faces the advent of quantum computing, researchers and practitioners are exploring new cryptographic techniques that can withstand the computational power of these advanced machines. One such technique gaining significant attention is the Learning With Errors (LWE) problem. This article will provide an in-depth look at the LWE problem, its role […]
Vector Algorithms in Many Dimensions: A Quantum-Resistant Encryption Strategy to Limit the Impact of SNDL
The increasing threat of Store Now Decrypt Later (SNDL) attacks in cybersecurity has emphasized the need for more advanced encryption methods that can withstand future decryption capabilities. One potential solution to this problem lies in the adoption of quantum-resistant encryption algorithms, specifically those utilizing vector algorithms in many dimensions. This article will explore the role […]
Quantum Computing and VPN Security: Assessing the Risks and Preparing for the Future
Virtual Private Networks (VPNs) have become an essential tool for securing internet connections, protecting privacy, and enabling access to geographically restricted content. VPNs rely on encryption algorithms, such as RSA and elliptic curve cryptography (ECC), to secure data transmitted between clients and servers. However, the rise of quantum computing poses a significant threat to the […]
Quantum-Resistant Encryption Algorithms: A Potential Strategy to Limit the Impact of SNDL in Cybersecurity
The emergence of Store Now Decrypt Later (SNDL) attacks in the cybersecurity landscape has prompted organizations to reconsider their encryption methods. One potential solution to limit the impact of SNDL is the adoption of quantum-resistant encryption algorithms. These algorithms are designed to withstand the computational capabilities of future quantum computers, ensuring long-term data security. This […]