Analyzing a Python programming example of building an artificial intelligence machine learning model for detecting cyber-attacks: Benefits and challenges

Abstract

Artificial intelligence systems offer a wide range of real-world applications that are already being used in many different fields. They can be found in computer systems, web browsers, smart home appliances, navigation and vehicle management, shape, and sound identification, in the medical, economic, agricultural fields… The effectiveness of their application, the outcomes, and the time required to create such models vary, and trends point their designers toward techniques that allow the construction of quicker and more accurate solutions. Through the examination of one example of the development of an artificial intelligence model using the Python programming language, this study attempts to demonstrate the advantages and difficulties of its implementation. The possibilities and method of creating a functional model of artificial intelligence are demonstrated through the presentation of its design and code examples for a realistic set of data. Used dataset contains information needed for analysis and detection of computer network cyber-attacks.