Abstract: The Internet links thousands of millions of computers which are running various software and hardware platforms to provide communication as well as commercial services. But since computers are connected, bad people can abuse resources and launch cyberattacks. Creating adaptable security-focused methods is becoming increasingly difficult due to an increasing number of cyberattacks. One of the most crucial tools for spotting online threats is the intrusion detection system (IDS). Several methods from several fields have been applied in literature to create effective IDS. AIbased techniques are widely used in intrusion detection systems (IDS) development and provide several advantages over alternative methods. To investigate and comprehend the current state of these approaches to address intrusion detection issues, there is not, however, a thorough analysis of AI-based strategies. This work has studied several AI-based methodologies, with a focus on IDS generation.
Keywords: Intrusion Detection System (IDS), Machine Learning, AI Powered, Datasets, Computer Security
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DOI:
10.17148/IJARCCE.2024.13644
