A Machine Learning-Based Classification and Prediction Technique for DDoS Attacks-Reference-Cited by-同舟云学术

A Machine Learning-Based Classification and Prediction Technique for DDoS Attacks

Published:2022 Issue: Volume:10 Page:21443-21454
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ismail ¹,Mohmand Muhammad Ismail¹^ORCID,Hussain Hameed²,Khan Ayaz Ali³^ORCID,Ullah Ubaid¹^ORCID,Zakarya Muhammad⁴^ORCID,Ahmed Aftab⁴^ORCID,Raza Mushtaq⁴^ORCID,Rahman Izaz Ur⁴^ORCID,Haleem Muhammad⁵^ORCID

Affiliation:

1. Department of Computer Science, Brains Institute Peshawar, Peshawar, Pakistan

2. Department of Computer Science, University of Buner, Buner, Pakistan

3. Department of Computer Science, University of Lakki Marwat, Lakki Marwat, Pakistan

4. Department of Computer Science, Abdul Wali Khan University Mardan, Mardan, Pakistan

5. Department of Computer Science, Kardan University, Kabul, Afghanistan

Funder

University of Peshawar, Pakistan

Kardan University, Kabul

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09716094.pdf?arnumber=9716094

Reference31 articles.

1. Vulnerabilities and attacks in global system for mobile communication (GSM);saini;Int J Adv Res Comput Sci,2011

2. DDoS verification and attack packet dropping algorithm in cloud computing;zakarya;World Appl Sci J,2013

3. Toward a Lightweight Intrusion Detection System for the Internet of Things

4. Machine Learning-Based Network Vulnerability Analysis of Industrial Internet of Things

5. DGA-based botnet detection toward imbalanced multiclass learning

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