Web Attack Intrusion Detection System Using Machine Learning Techniques
Mahmoud Khalid Baklizi,
Issa Atoum,
Mohammad Alkhazaleh
et al.
Abstract:Web attacks often target web applications because they can be accessed over a network and often have vulnerabilities. The success of an intrusion detection system (IDS) in detecting web attacks depends on an effective traffic classification system. Several previous studies have utilized machine learning classification methods to create an efficient IDS with various datasets for different types of attacks. This paper utilizes the Canadian Institute for Cyber Security’s (CIC-IDS2017) IDS dataset to assess web at… Show more
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