April 14, 2022
Infallible encryption is a fundamental human right and essential for secure data exchanges.
In a recent report, Meta, formerly known as Facebook, said it would roll out end-to-end encryption by default in 2023. This is accurate because Meta, Businesses for Social Responsibility, a nonprofit organization lucrative considers encryption a basic human right. essential for secure data exchange. However, encryption algorithms weaken over time by developing security holes, putting data at risk. Encryption techniques are primarily used to protect unauthorized access to private data by third parties. To prevent eavesdropping, the data is overlaid with an encryption key, so the data is not the same data for people who don’t have access to the key. Standard algorithms include the Secure Hash Algorithm (SHA) and the Advanced Encryption Standard (AES) algorithm, which protect data and are able to withstand more advanced cyberattacks. However, with emerging technologies such as blockchain, quantum computing, and cloud computing, conventional designed protocols are not enough to ensure data privacy. Meanwhile, researchers are finding ways to circumvent advanced code-cracking technologies to ensure big data stays within security boundaries. Here are some examples:
Quantum proof encryption:
Quantum computers use qubits unlike the 0s and 1s of conventional computing. Consequently, the computing power is far superior to that of normal computers, including in executing mathematical problems that underlie modern encryption algorithms. “Researchers have known for decades that if a large-scale quantum computer could be built, it could perform quite large calculations that would threaten the cryptosystems we rely on for security today,” says NIST mathematician Dustin Moody. in the USA. National Institute of Standards and Technology. Quantum-proof encryption uses network-based cryptography with huge grids and billions of individual points across thousands of dimensions. Breaking the code would require moving along a set of random points. Unless you know the route, it is highly impossible to crack the code.
In order to see the original data, the encrypted data must be decrypted, and this very process can make it vulnerable to breach. Homomorphic encryption has a solution to overcome these encryption holes. It basically involves masking the data with algebraic functions for data manipulation, which allows the data to remain encrypted while in use. The person on the other end must use a private key along with the public key to access the data. Homomorphic encryption is particularly functional in cases of personal data protection without third parties such as Google or companies that have no direct relationship with the data, intervening in the transaction. This encryption is particularly useful in the healthcare and defense sectors, where personal data is extremely valuable.
Unlike end-to-end differential encryption, privacy encryption uses mathematical noise to mask the original calculations used in the algorithm. The noise terms are large enough for the individual variables but small enough for the pattern to be revealed. Craig Gentry, an American computer scientist describes homomorphic encryption as a glove box. Anyone can get their hands on it and manipulate it but cannot make it into the final product. Only the person holding the key can take the finished product, once the product is ready. The American Census Bureau is actively applying this technique to protect the data of its citizens while making it available to lawmakers for policy planning.
Cryptography for blockchain technology is definitely the hottest area, in which many players place their currency. Given the openness and stakes it represents in terms of monetary value, blockchain is one of the most vulnerable technologies. Until recently, blockchain technologies used protocols based on digital signatures to authenticate transactions. These protocols require a key to connect to all transactions relating to an account. Lately, protocols like ZK-Snark, an example of zero-knowledge proof protocol, are applied, which allows confirming a transaction without having to reveal the identity. ZoKrates, a toolkit used to implement the ZK-Snark protocol on Ethereum, helps the user with verifiable computation on DApp. While earlier protocols only allowed user identification, the latest ones add layers of software to track the entire transaction process.
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