Ahmet F Aydogan

As of 2022, he is working on his thesis topic “Brain Frequency Based Evolutionary Encryption Method for IoT Devices”. As the content of the study; “The security levels of existing encryption methods are weakening with the increase in computing power. Due to the aforementioned situation, researchers have developed new methods with biological singularity using fingerprints or human faces. Unfortunately, fingerprints and facial features with biological singularities can be easily manipulated or forged. Therefore, this work creates a more secure strategy than existing encryption methods for IoT devices using electrical signals generated by the brain. The work is built on mathematically analyzing the electrical signals generated by an individual memory. There is a theory of cryptography that evolves and strengthens with each use of the password, generating different signals with new experiences. At the same time, it can measure the stress created by the user in case of danger and, unlike existing encryption methods, it can inform security forces of all transactions.”