Md. Mamun Ahmed and Ayman El Hajjar 2023. A proactive approach to protect cloud computing environment against DDoS attack. in: Hamid Jahankhani, Arshad Jamal and Guy Brown (ed.) AI, Blockchain and Self-Sovereign Identity in Higher Education Switzerland Springer. pp. 243-278
| Chapter title | A proactive approach to protect cloud computing environment against DDoS attack |
|---|---|
| Authors | Md. Mamun Ahmed and Ayman El Hajjar |
| Editors | Hamid Jahankhani, Arshad Jamal and Guy Brown |
| Abstract | The current range of technological and physical advances mostly rely on load dispersion as well as demand delays which modern security solutions are equipped to defend against distributed denial-of-service (DDoS) threats. Clients and website visitors consequently encounter time delays, captchas, and delayed connectivity. In this chapter, we provide a novel layered solution for cloud-based DDoS defence that makes use of Advanced Malware methods and a proactive method for identifying anomalies in traffic behaviour. The model’s first level assesses the packet arrival frames’ starting origin IP address, while the second level looks at request speed and forecasts the threat speed threshold. The third tier, if necessary, minimises the traffic burden by redirecting the traffic towards the proxy. In case a specific web application is the target of the assault, the fifth layer decides whether port-hopping is necessary between the gateway and the destination website. Numerous studies demonstrate how well a multilayer strategy can recognise and limit threats from such a diverse variety of known and undisclosed sources. |
| Keywords | DDoS |
| Cloud Computing | |
| Book title | AI, Blockchain and Self-Sovereign Identity in Higher Education |
| Page range | 243-278 |
| Year | 2023 |
| Publisher | Springer |
| Publication dates | |
| Published | 23 Jun 2023 |
| Place of publication | Switzerland |
| Edition | 1st |
| ISBN | 9783031336263 |
| 9783031336294 | |
| 9783031336270 | |
| ISSN | 1613-5113 |
| Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-031-33627-0 |