Moreover, the connection between processing raw network data and creating an adaptive IDS has not been sufficiently studied in this domain. Updating the IDS datasets would allow for the testing of the proposed IDSs on datasets that are relevant to the recent attacks. In addition, consistent update of IDS datasets is essential due to the advancement in network technology and attack strategies. Therefore, an adaptive IDS is crucial to keep computer networks protected.
Traditional network intrusion detection systems (IDSs) usually have difficulties detecting these attacks because they need to adapt to more advanced or challenging technologies of novel attacks, yet updating them can be computationally expensive and complicated. In recent years, the demand for computer networks has grown rapidly, thus allowing for higher risk of novel attack incidents.
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