An Improved Model for Alleviating Layer Seven Distributed Denial of Service Intrusion on Webserver
2019; IOP Publishing; Volume: 1235; Issue: 1 Linguagem: Inglês
10.1088/1742-6596/1235/1/012020
ISSN1742-6596
AutoresModupe Odusami, Sanjay Misra, Emmanuel Adetiba, Olusola Abayomi‐Alli, Robertas Damaševičius, Ravin Ahuja,
Tópico(s)Advanced Malware Detection Techniques
ResumoApplication layer or Layer Seven Distributed Denial of service (L7DDoS) intrusion is one of the greatest threats that intrusion a webserver. The hackers have different motives which could be for Extortion, Exfiltration e.t.c Researchers have employed several methods to prevent L7DDoS intrusion especially using machine learning. Although Machine learning techniques has proven to be very effective with high detection accuracy, the approach still find it difficult to detect Hyper Text Transfer Protocol (HTTP) based botnet traffic on web server with high false positive rate. The adoption of deep learning based technique using Long Short Term Memory (LSTM) will alleviate this problem.
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