Security Threat Detection and Cryptanalysis of Dynamic and Random S Box Based Two-Fish Algorithm

In this modern era, computer vision techniques are widely being used for the diagnosis of various diseases in healthcare applications. Wireless techniques are popularly employed for the transfer of these medical data. Security issues are the major issues faced by these techniques during the transfer of medical data. Cryptanalysis techniques provide analytic examination of various defects in the cryptographic algorithms using which an attacker may break and detect the data. These techniques ensure the robustness and reliability of the cryptographic systems. In this work, we have performed cryptanalysis of Dynamic and Random SBox (DRSB) Generation Algorithm. Analysis was carried out using various aspects like histogram, correlation, entropy, sensitivity and key space. This analysis is crucial as medical data contains sensitive information and hence ensuring the reliability of the cryptographic algorithm is mandatory. It was shown that the DRSB algorithm achieves very good performance in terms of all the analysis techniques. In addition, we also provide a threat detection system to protect the framework against the manipulation of data during its transmission. Any changes caused in medical data, can cause changes in the medical treatment and can lead to serious damage or even to death of the patient. Hence, identification of data manipulation is essential in health care applications. In this work, SHA-512 algorithm was utilized to generate a message digest using which the protection and authentication of data was ensured.