Approach of Detecting Dependency Confusion Attacks using Artificial Intelligence and Machine Learning

The use of open-source is rapidly increasing for the software development process, which gives rise to the cyber attack known as ”Dependency Confusion”. This attack is carried out by exploiting the vulnerability of the package management system to insert malicious code into the software supply chain of the organization. Traditional methods of detecting dependency confusion take…

Supervised Model: Dependency confusion is a security vulnerability that occurs when an attacker can inject malicious code into a software project by exploiting the way the project’s dependencies are managed. Artificial intelligence, including machine learning…