Cryptographic substitution box design using entropy source based onlava lamp

With the technological developments, huge data has been obtained from different platforms such as the internet of things. The process of extracting information from this data set, called big data, through artificial intelligence techniques has accelerated. Therefore, how to ensure the security of data, which is described as the new oil of our digitalized lives, has turned into a hot problem that occupies everyone's agenda. Randomness is extremely important for secure encryption. Each new key that will be used to encrypt the data must be truly random. In this way, an attacker cannot understand the key and decrypt the data. However, generating the random data required to generate unpredictable encryption keys is a difficult process. Lava lamps are constantly random. The "lava" in a lava lamp never takes the same shape twice, and as a result, observing a group of lava lamps is a great source of random data. But having a safe source of entropy is not enough by itself. The main thing is related to how this entropy source will be used. The research question of the thesis work is whether an approach can be developed that can enable a strong source of entropy (even if these local entropy sources are compromised) to secure randomness. The successful outputs obtained as a result of the preliminary studies confirm this hypothesis. The unique aspect of the developed approach is that randomness inference can be made by applying nonlinear transformations to any robust entropy source. Keywords: Encryption, Key Generation, Randomness