Human Psychological Disorder towards Cryptography: True Random Number Generator from EEG of Schizophrenics and Its Application in Block Encryption’s Substitution Box

• Published in: Computational intelligence and neuroscience 2022-06, Vol.2022, p.1-20
• Main Authors: Khan, Muhammad Fahad, Saleem, Khalid, Hazzazi, Mohammad Mazyad, Alotaibi, Mohammed, Shukla, Piyush Kumar, Aqeel, Muhammad, Tuncer, Seda Arslan
• Format: Article
• Language: English
• Subjects: Algebra; Algorithms; Brain research; Confusion; Cryptography; Data encryption; Design standards; Diffusion barriers; EEG; Electrodes; Electroencephalography; Hallucinations; Mental disorders; Nervous system; Neurosciences; Patients; Perception; Random numbers; Randomness; Reading; Schizophrenia; Social research; Statistical tests
• ISSN: 1687-5265; 1687-5273
• DOI: 10.1155/2022/2532497

Schizophrenia is a multifaceted chronic psychiatric disorder that affects the way a human thinks, feels, and behaves. Inevitably, natural randomness exists in the psychological perception of schizophrenic patients, which is our primary source of inspiration for this research because true randomness is the indubitably ultimate valuable resource for symmetric cryptography. Famous information theorist Claude Shannon gave two desirable properties that a strong encryption algorithm should have, which are confusion and diffusion in his fundamental article on the theoretical foundations of cryptography. Block encryption strength against various cryptanalysis attacks is purely dependent on its confusion property, which is gained through the confusion component. In the literature, chaos and algebraic techniques are extensively used to design the confusion component. Chaos- and algebraic-based techniques provide favorable features for the design of the confusion component; however, researchers have also identified potential attacks on these techniques. Instead of existing schemes, we introduce a novel methodology to construct cryptographic confusion component from the natural randomness, which are existing in the psychological perception of the schizophrenic patients, and as a result, cryptanalysis of chaos and algebraic techniques are not applicable on our proposed technique. The psychological perception of the brain regions was captured through the electroencephalogram (EEG) readings during the sensory task. The proposed design passed all the standard evaluation criteria and validation tests of the confusion component and the random number generators. One million true random bits are assessed through the NIST statistical test suite, and the results proved that the psychological perception of schizophrenic patients is a good source of true randomness. Furthermore, the proposed confusion component attains better or equal cryptographic strength as compared to state-of-the-art techniques (2020 to 2021). To the best of our knowledge, this nature of research is performed for the first time, in which psychiatric disorder is utilized for the design of information security primitive. This research opens up new avenues in cryptographic primitive design through the fusion of computing, neuroscience, and mathematics.