ANALYSIS AND COMPARISON OF FUZZ TESTING TOOLS FOR IoT SYSTEMS

Abstract

The Internet, a pillar of society that we can no longer live without, has created a new way of communication, data usage, and information sharing. The rapid development of the Internet has created a new vision of everyday things and enabled the development of a new concept - the Internet of Things (IoT). IoT enables the exchange of a massive amount of useful information but also raises security and privacy concerns. Fuzz testing is one of the more effective methods for testing software security. This master thesis explores the concepts of fuzz testing for IoT and their limitations. Different tools were compared, and a proposal was conducted to solve their shortcomings.