A generalized machine learning‐based model for the detection of DDoS attacks

Author:

Marvi Murk1,Arfeen Asad1ORCID,Uddin Riaz2

Affiliation:

1. National Center for Cyber Security, Department of Computer and Information Systems Engineering NED University of Engineering and Technology Karachi Pakistan

2. National Center for Robotics & Automation, Department of Electrical Engineering NED University of Engineering and Technology Karachi Pakistan

Publisher

Wiley

Subject

Computer Networks and Communications,Computer Science Applications

Reference45 articles.

1. A Survey of Defense Mechanisms Against Distributed Denial of Service (DDoS) Flooding Attacks

2. KupreevO BadovskayaE GutnikovA.DDoS attacks in Q4 2018.https://securelist.com/ddos-attacks-in-q4-2018/89565/ last accessed on 27‐10‐2020;2019.

3. BusinessC.12 DDoS statistics that should concern business leaders.https://www.coxblue.com/12-ddos-statistics-that-should-concern-business-leaders/ last accessed on 27‐10‐2020.

4. KottlerS.February 28th DDoS incident report.https://github.blog/2018-03-01-ddos-incident-report/ last accessed on 27‐10‐2020;2018.

5. MoralesC.NETSCOUT Arbor confirms 1.7 Tbps DDoS attack; the terabit attack era is upon us.https://www.netscout.com/blog/asert/netscout-arbor-confirms-17-tbps-ddos-attack-terabit-attack-era last accessed on 27‐10‐2020;2018.

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