| Title | Preventing Distributed Denial of Service Attacks in Software Defined Mesh Networks |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Mani, Santosh, Nene, Manisha J |
| Conference Name | 2021 International Conference on Intelligent Technologies (CONIT) |
| Date Published | jun |
| Keywords | Attack Detection and Mitigation, cloud computing, composability, DDoS Attacks, denial-of-service attack, Firewalls (computing), flow tables, Forensics, Metrics, Network topology, Policy Based Flow Management (PBFM), pubcrawl, Redundancy, Resiliency, SDN, sFlow Agent, sFlow Collector, sFlow-RT, Topology, wireless mesh networks |
| Abstract | Mesh topology networks provide Network security in the form of redundancy of communication links. But redundancy also contributes to complexity in configuration and subsequent troubleshooting. Mesh topology deployed in Critical networks like Backbone Networks (used in Cloud Computing) deploy the Mesh topology provides additional security in terms of redundancy to ensure availability of services. One amongst most prominent attacks is Distributed Denial of Service attacks which cause an immense amount of loss of data as well as monetary losses to service providers. This paper proposes a method by which using SDN capabilities and sFlow-RT application, Distributed Denial of Service (DDoS) attacks is detected and consequently mitigated by using REST API to implement Policy Based Flow Management (PBFM) through the SDN Controller which will help in ensuring uninterrupted services in scenarios of such attacks and also further simply and enhance the management of Mesh architecture-based networks. |
| DOI | 10.1109/CONIT51480.2021.9498378 |
| Citation Key | mani_preventing_2021 |
Preventing Distributed Denial of Service Attacks in Software Defined Mesh Networks