Autors: Bhosale, K. S., Nenova, M. V., Iliev, G. L.
Title: Real-Time Network Data Capturing Using Attack Generators and Data Processing Method
Keywords: DDoS, DoS, IDS, Irrelevant data, L2R, LOIC, Probe, R2L, Real-time capturing

Abstract: Nowdays, use of the Internet for transaction of knowledge is very common. The end users who are accessing Internet or system are vulnerable to malicious user attacks which results in legitimate user being prevented from accessing the websites. Recently, there are several methods presented for application layer DDoS attacks by considering the different properties of attacks. However, most of the methods suffered from the poor accuracy performance of DDoS attack detection at the application layer. Hence, DDoS attacks have been low volume and act on its own as a legitimate transaction on layer seven means application layer hence such attacks are not detected easily by IDS (Intrusion Detection Systems) or firewall systems. We believe that the accuracy and efficiency of attacks detection are based on correctness of capture data traffic. In state-of-the-art methods, there is no provision to remove the noisy data from the capture logs and hence leads to incorrect detection results.

References

    Issue

    Lecture Notes on Data Engineering and Communications Technologies, ICCNCT 2018, vol. 15, pp. 705-715, 2019, Singapore, Springer Singapore, DOI 10.1007/978-981-10-8681-6_64

    Copyright Springer Nature Singapore Pte Ltd.

    Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus