Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Jiuqiang Xu"'
Publikováno v:
IEEE Access, Vol 6, Pp 64801-64816 (2018)
We present a method to detect anomalies in time series of flow interaction patterns. There are many existing methods for anomaly detection in network traffic, such as the number of packets. However, there is no established method to detect anomalies
Externí odkaz:
https://doaj.org/article/d8309ebdff1f490cbb722edbdbcdf6d4
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 10 (2014)
The Internet of Things (IoT) is regarded as the future generation Internet, which ranges from radio frequency identification (RFID) to the ubiquitous computing systems such as wireless sensor networks and mobile ad hoc networks. With the rapid develo
Externí odkaz:
https://doaj.org/article/c18730a89d0d490db223759fd4050834
Publikováno v:
IEICE Transactions on Communications. :1508-1518
Publikováno v:
IEICE Transactions on Communications. :545-556
Publikováno v:
IEEE Access, Vol 6, Pp 64801-64816 (2018)
We present a method to detect anomalies in time series of flow interaction patterns. There are many existing methods for anomaly detection in network traffic, such as the number of packets. However, there is no established method to detect anomalies
Autor:
Jinpeng Zhang, Jiuqiang Xu
Publikováno v:
2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC).
In this paper, a single beat ECG classification method based on heterogeneous ensemble learning is proposed in order to detect abnormal beats from the Holter ECG. The method extracts features of ECG signals through long short-term memory (LSTM) and 1
Detecting the anomaly behaviors such as network failure or Internet intentional attack in the large-scale Internet is a vital but challenging task. While numerous techniques have been developed based on Internet traffic in past years, anomaly detecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfa5b857f8cf04811a698b88df4e1595
http://arxiv.org/abs/1710.06121
http://arxiv.org/abs/1710.06121
Publikováno v:
SCIENTIA SINICA Informationis. 44:793-810
In recent years the virus spreading has produced a series threat to network security. The research shows that the Internet topology has a great relationship with the virus spreading. The degree correlation is as an important characteristic of the Int
Publikováno v:
Wireless Sensor Network. :606-611
The relationship between RSSI (Received Signal Strength Indication) values and distance is the foundation and the key of ranging and positioning technologies in wireless sensor networks. Log-normal shadowing model (LNSM), as a more general signal pro
Publikováno v:
The 26th Chinese Control and Decision Conference (2014 CCDC).
Network science have constantly been in the focus of research for the last decade, with considerable advances in the controllability of their structural. However, much less effort has been devoted to study that how to improve the controllability of c