The Library
Real-time DDoS defense in 5G-enabled IoT : a multidomain collaboration perspective
Tools
Tools
Tools
Chen, Xu, Chen, Yunfei, Feng, Wei, Xiao, Liang, Li, Xiangling, Zhang, Jie and Ge, Ning (2023) Real-time DDoS defense in 5G-enabled IoT : a multidomain collaboration perspective. IEEE Internet of Things Journal, 10 (5). pp. 4490-4505. doi:10.1109/jiot.2022.3218728 ISSN 2327-4662.
Research output not available from this repository.
Request-a-Copy directly from author or use local Library Get it For Me service.
Official URL: https://doi.org/10.1109/jiot.2022.3218728
Abstract
While 5G networks have accelerated the development of the Internet of Things (IoT), they have also introduced a large number of vulnerable IoT devices into the network, which would lead to severe distributed denial of service (DDoS) attacks. The newly emerging DDoS attack methods generally have a shorter duration, which imposes higher requirements for the response time of DDoS mitigation technologies. Existing DDoS defense methods cannot achieve real-time detection due to the difficulty of reducing the delay of feature extraction and large-scale data processing. In this article, we focus on the timeliness of DDoS detection and mitigation. We hope that deploying effective defense countermeasures at the source side will block the majority of DDoS attack traffic in real time before it enters the data network. To this end, we propose a real-time DDoS defense framework based on multidomain collaboration that combines multisource information to detect attack sessions with high accuracy in 5G networks. To operate the framework at line rate, we propose an optimal packet sampling strategy based on accurate session size estimation, which can greatly reduce the detection overhead while ensuring good accuracy. In a typical scenario with an attack session size larger than 10, this method can achieve a 99% detection rate while reducing the packet inspection rate to less than 37%.
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
| SWORD Depositor: | Library Publications Router | ||||||
| Journal or Publication Title: | IEEE Internet of Things Journal | ||||||
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) | ||||||
| ISSN: | 2327-4662 | ||||||
| Official Date: | 1 March 2023 | ||||||
| Dates: |
|
||||||
| Volume: | 10 | ||||||
| Number: | 5 | ||||||
| Page Range: | pp. 4490-4505 | ||||||
| DOI: | 10.1109/jiot.2022.3218728 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
