著者
Yuki Arikawa Hiroyuki Uzawa Takeshi Sakamoto Satoshi Shigematsu Shunji Kimura
出版者
The Institute of Electronics, Information and Communication Engineers
雑誌
IEICE Communications Express (ISSN:21870136)
巻号頁・発行日
vol.6, no.5, pp.236-241, 2017 (Released:2017-05-01)
参考文献数
6
被引用文献数
1 4

This paper presents a high-speed radio-resource scheduler that accelerates the scheduling process of fifth-generation mobile communications systems (5G). A scheduler for 5G systems will have to decide the optimal combination of an antenna and user equipment for efficient communications from a huge number of possible combinations. The reported scheduler with a hardware accelerator performs several high-speed searches to find the optimal combination. Experimental results show that it executes several search methods 40 times faster than a scheduler without acceleration. It improves the system throughput and will enable a practical 5G system to be developed.
著者
Shotaro Usuzaki Yuki Arikawa Hisaaki Yamaba Kentaro Aburada Shin-Ichiro Kubota Mirang Park Naonobu Okazaki
出版者
Information Processing Society of Japan
雑誌
Journal of Information Processing (ISSN:18826652)
巻号頁・発行日
vol.26, pp.257-266, 2018 (Released:2018-03-15)
参考文献数
18

Distributed Denial-of-Service (DDoS) attack detection systems are classified into a signature based approach and an anomaly based approach. However, such methods tend to suffer from low responsiveness. On the other hand, real-time burst detection which is used in data mining offers two advantages over traditional statistical methods. First, it can be used for real-time detection when an event is occurring, and second, it can work with less processing as information about events are compressed, even if a large number of events occur. Here, the authors add the function for attack detection in real-time burst detection technique, and propose a highly responsive DDoS attack detection technique. This paper performs experiments to evaluate its effectiveness, and discusses its detection accuracy and processing performance.