| Title | D3: Detection and Prevention of DDoS Attack Using Cuckoo Filter |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Mishra, Sarthak, Chatterjee, Pinaki Sankar |
| Conference Name | 2021 19th OITS International Conference on Information Technology (OCIT) |
| Keywords | Bloom filter, cloud, composability, Computational modeling, Cuckoo filter, Data models, DDoS, DDoS Attack Prevention, denial-of-service attack, DoS, Economics, Floods, Human Behavior, Information filters, Metrics, OSI, pubcrawl, resilience, Resiliency, SDN, Support vector machines |
| Abstract | DDoS attacks have grown in popularity as a tactic for potential hackers, cyber blackmailers, and cyberpunks. These attacks have the potential to put a person unconscious in a matter of seconds, resulting in severe economic losses. Despite the vast range of conventional mitigation techniques available today, DDoS assaults are still happening to grow in frequency, volume, and intensity. A new network paradigm is necessary to meet the requirements of today's tough security issues. We examine the available detection and mitigation of DDoS attacks techniques in depth. We classify solutions based on detection of DDoS attacks methodologies and define the prerequisites for a feasible solution. We present a novel methodology named D3 for detecting and mitigating DDoS attacks using cuckoo filter. |
| DOI | 10.1109/OCIT53463.2021.00063 |
| Citation Key | mishra_d3_2021 |
D3: Detection and Prevention of DDoS Attack Using Cuckoo Filter