Automatic Detection and Correction of Vulnerabilities using Machine Learning
Robin Tommy, Gullapudi Sundeep, Hima Jose · 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC) · 2017
Web Applications are the better way for an organization to share the resources through the internet, but they often contains bugs which results as the security threat to the organization. For an organization, Information security is a critical aspect. Vulnerability Scanners helps to find the vulnerabilities in the web applications in attacker's perspective. According the Open Web Application Security Project (OWASP) there 23 subcategories of vulnerabilities [1]. This paper describes about the system which helps to automatically finds and fixes the vulnerabilities present in the web applications using the machine learning. Machine learning helps to improvise the performance of the system using the statistics of the previous results.