Comparative Study of Machine Learning Methods Applied to Intrusion Detection Systems

• Lucas C. C. Silva UFMA
• Alexandre W. S. Silva UFMA
• Aridson N. Fernandes Filho UFMA
• Alex O. Barradas Filho UFMA

Abstract

With the advent of technology, information traffic is growing faster and the invasion of this scope has become commonplace. However, there are mechanisms to avoid and / or identify this type of intrusion, that are the Intrusion Detection Systems. And with the advances of the Artificial Intelligence tools verified the viability of having IDS based on Machine Learning, starting from the resizing done in the NSL-KDD dataset using the same methods of an earlier study done in another dataset, maintaining the accuracy and decreasing the computational cost.

Keywords: Intrusion Detection Systems, Artificial Intelligence, Machine Learning

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