Application of side channel attacks on symmetric and asymmetric encryption algorithms and anomaly detection

This thesis deals with time-driven cache attacks and power attacks from side channel attacks applied to symmetric cryptographic algorithms and asymmetric cryptographic algorithms. Time-driven cache attacks and power attacks are applied to the AES algorithm, which is a symmetric encryption algorithm, and the RSA algorithm, which is an asymmetric encryption algorithm, respectively. Information about the attacks has been obtained by evaluating the performances of the attacks and by detecting anomaly by machine learning techniques. According to the findings obtained, information about the attacks was obtained. As a result of the information obtained, it has been proved that machine learning techniques can be used to detect attacks and obtain information about applied methods.