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@IACR News - 35d
Recent advancements in cryptography are focusing on safeguarding privacy against quantum computing threats. Researchers have developed a new Traceable Receipt-free Encryption (TREnc) scheme designed to resist attacks from quantum adversaries, overcoming limitations of current encryption methods. This innovative approach allows for the randomization of ciphertexts in transit, removing any subliminal information while maintaining a public trace to ensure the integrity of the underlying plaintext. The TREnc method is also being explored for use in voting systems, enabling voters to encrypt their votes, verify their ballot was counted and prevents any proof of their vote choice. This breakthrough uses advanced Ring Learning With Errors (RLWE) techniques ensuring resilience against quantum-based attacks.
In other cryptography news, a novel approach for unclonable private keys using quantum methods is gaining traction. This method generates one-shot signatures, where a private key can only be used once before self-destructing, preventing reuse or cloning. Ethereum developers are considering integrating this method into future blockchain versions, as it combines local quantum activity with existing public key methods. Additionally, companies like Synergy Quantum are deploying Quantum Random Number Generators (QRNG) to improve cryptographic security. The company's deployment to India's Centre for Development of Advanced Computing (C-DAC) uses quantum photonics to provide secure and scalable randomness, strengthening India’s post-quantum encryption abilities. Recommended read:
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@bhaveshshrivastav.medium.com - 18d
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Quantum computing and cryptography are rapidly advancing fields, prompting both exciting new possibilities and serious security concerns. Research is focused on developing quantum-resistant cryptography, new algorithms designed to withstand attacks from both classical and quantum computers. This is because current encryption methods rely on mathematical problems that quantum computers could potentially solve exponentially faster, making sensitive data vulnerable. Quantum-resistant algorithms like CRYSTALS-Kyber and CRYSTALS-Dilithium are being actively tested in various scenarios, such as secure government communications and data centers. The race is on to secure digital information before quantum computers become powerful enough to break existing encryption.
Developments in quantum computing are also driving progress in quantum cryptography, which uses the principles of quantum mechanics to secure communication. This offers a level of security that is theoretically impossible to breach using classical methods. Simultaneously, traditional cryptographic techniques such as Elliptic Curve Cryptography (ECC) and Advanced Encryption Standard (AES) are being combined to build secure data encryption tools, ensuring files remain protected in the digital world. Companies like Pasqal and Riverlane have partnered to accelerate the development of fault-tolerant quantum systems, which aim to overcome the reliability issues in current quantum systems and enable more reliable quantum computations. Recommended read:
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@quantumcomputingreport.com - 35d
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Quantum computing is rapidly advancing with significant implications for various fields, particularly in the areas of randomness and security. Researchers are exploring the use of quantum computing to redefine randomness and enhance machine learning through technologies such as Quantum Support Vector Machines. These advancements highlight the technology's potential to revolutionize data analysis and processing. Simultaneously, there is a growing focus on developing quantum-resistant encryption methods to protect internet security from future quantum computer attacks. This is vital, as traditional encryption methods could become vulnerable to the power of quantum computing.
The pursuit of robust quantum encryption is evident in recent developments, including the work of cryptographers designing encryption methods that are invulnerable to quantum computers. Additionally, Russia has unveiled a 50-qubit quantum computer prototype, signaling a major step in their quantum computing roadmap and a move towards increased quantum capabilities. Furthermore, institutions like IonQ and Oak Ridge National Laboratory are working on noise-tolerant quantum computing techniques, advancing the technology towards practical applications and commercial availability. These advances all underscore quantum computing's increasing importance as a pivotal technology for the future. Recommended read:
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@medium.com - 45d
Cryptography is the cornerstone of secure digital communication, utilizing mathematical algorithms to protect information and ensure privacy. It involves transforming data into an unreadable format only authorized parties can understand. There are two main types of cryptography: symmetric and asymmetric. Symmetric cryptography uses the same key for both encryption and decryption, making it fast and efficient for large volumes of data, however, key distribution can be challenging. Examples include AES and DES.
Asymmetric cryptography, or public-key cryptography, uses a pair of keys; a public key for encryption and a private key for decryption. It provides secure key distribution and enables digital signatures but is slower and requires more computational resources than symmetric methods. RSA and ECC are examples of this. These methods are used in SSL/TLS protocols to secure internet communications, ensuring data transmission is protected through processes like handshakes, which establish shared keys. Additionally, cryptography is critical for blockchain technology, utilizing hashing to ensure data integrity and employing digital signatures for secure transactions. Recommended read:
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