Secure Database Authentication from Vulnerability Detection using Encryption Mode of Standardization

As the digital era is drastically increasing in the upcoming years, the security breach is also getting increased. The vulnerability or flaw occurs due to the malicious attack over the data. The security breach of the data has to be checked as it occurs due to the vulnerability state. Vulnerability or theft cause the data losses the integrity over the data. Data confidentiality loss occurs due to the security implications in the website. The website of the organization such as e-commerce sector has to be monitored as the intruder tries to attack the confidential information from the webpage by phishing technique. The illegitimate website which is trapped by the intruder which compromises the confidential information of the user and the credential information such as credit card, account details etc. In this paper, the novelty research is to risk the minimal factor by encrypting the credential information using the encryption mode of standardization. Encryption algorithm which is highly efficient in nature which can be used to minimal the risk factor of the intruder attack. The intruder tries to maliciously attack on the credentials of the data. Some of the malicious attack such as attacking the code, SQL server, cross-site scripting attacks, phishing, spoofing attack occurs on the website. These malware attacks maliciously attack the network mechanism. To secure the authentication, the encryption standard is used to secure the credentialed of the data by securing the data in an efficient way. If the data security is preserved then the minimal range of risk factor procures. By using the AES 256 standard scheme, the data security SQL server and cloud infrastructure can be secured. For the vulnerability prediction, the data mining is used for the classifying the exploitation based on the analysis.