Abstract: A system and method for secure and reliable generation of quantum random numbers based on various untrusted shot noise sources of quantum nature. The system includes multisource quantum shot noise harvesting circuit and a randomness extraction module to extract entropy of quantum origin from emitted noisy data and randomness amplification. The noise harvesting circuit includes a data acquisition module to collect and store the noise signals emitted by the untrusted sources. The randomness extraction module is configured to perform tensor and permutation circuitry operation on the received data and yields the quantum random sequences. The system includes a randomness amplification module configured to apply multiplication operation on several quantum random sequences to produce pseudo random sequences. The system includes an oracle verification module to verify and certify the output random sequences of quantum origin.

Abstract: A system and method for generating decoy files for protection against ransomware attacks is disclosed. The system includes a deep learning engine, wherein the deep learning engine is configured to extract a plurality of features from most recently used user files in a folder, convert the plurality of features to a vector format, estimate error of the plurality of features to a target vector, and generate decoy files if the error is less than a predefined threshold.