DDoS attack forecasting based on online multiple change points detection and time series analysis-Reference-Cited by-同舟云学术

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DDoS attack forecasting based on online multiple change points detection and time series analysis

Published:2023-11-23 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Bitit Rahmoune,Derhab Abdelouahid,Guerroumi Mohamed,Khan Farrukh Aslam

Funder

Deanship of Scientific Research, King Saud University

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-17637-3.pdf

Reference57 articles.

1. datareportal: (2021) DIGITAL AROUND THE WORLD. https://datareportal.com/global-digital-overview, Last accessed on 2021-10-22

2. Brodsky Z (2020) The Psychology Behind DDoS: Motivations and Methods. https://www.perimeter81.com/blog/network/the-psychology-behind-ddos-attacks/, Last accessed on 2021-10-26

3. Cisco (2020) Cisco Annual Internet Report (2018-2023) White Paper. https://www.cisco.com/c/en/us/solutions/collateral/executive-perspectives/annual-internet-report/white-paper-c11-741490.html, Last accessed on 2021-10-26

4. Galov N (2021) 39 Jaw-Dropping DDoS Statistics to Keep in Mind for 2021. https://hostingtribunal.com/blog/ddos-statistics/, Last accessed on 2021-11-01

5. Kupreev O, Badovskaya E, Gutnikov A (2020) DDoS attacks in Q1 2020. https://securelist.com/ddos-attacks-in-q1-2020/96837/, Last accessed on 2021-10-26

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