| Title | DDoS Attack Detection via IDS: Open Challenges and Problems |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Bozorov, Suhrobjon |
| Conference Name | 2021 International Conference on Information Science and Communications Technologies (ICISCT) |
| Keywords | Architecture, artificial intelligence, Attack, Communications technology, DDoS, DDoS attack detection, denial-of-service attack, detection, feature selection, hidden layer, Human Behavior, IDS, information science, machine learning, machine learning algorithms, Metrics, Neurons, pubcrawl, resilience, Resiliency |
| Abstract | This paper discusses DDoS attacks, their current threat level and IDS systems, which are one of the main tools to protect against them. It focuses on the problems encountered by IDS systems in detecting DDoS attacks and the difficulties and challenges of integrating them with artificial intelligence systems today. |
| DOI | 10.1109/ICISCT52966.2021.9670260 |
| Citation Key | bozorov_ddos_2021 |
DDoS Attack Detection via IDS: Open Challenges and Problems