A hybrid and learning agent architecture for network intrusion detection


Learning is an effective way for automating the adaptation of systems to their environment. This ability is especially relevant in dynamic environments as computer networks where new intrusions are constantly emerging, most of them having similarities and occurring frequently. Traditional intrusion detection systems still have limitations of adaptability… (More)
DOI: 10.1016/j.jss.2017.01.028


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