TY - JOUR
T1 - Network traffic monitoring, analysis and anomaly detection [Guest Editorial]
AU - Wang, Wei
AU - Zhang, Xiangliang
AU - Shi, Wenchang
AU - Lian, Shiguo
AU - Feng, Dengguo
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2011/5
Y1 - 2011/5
N2 - Modern computer networks are increasingly pervasive, complex, and ever-evolving due to factors like enormous growth in the number of network users, continuous appearance of network applications, increasing amount of data transferred, and diversity of user behaviors. Understanding and measuring such a network is a difficult yet vital task for network management and diagnosis. Network traffic monitoring, analysis, and anomaly detection provide useful tools for understanding network behavior and determining network performance and reliability so as to effectively and promptly troubleshoot and resolve various issues in practice.
AB - Modern computer networks are increasingly pervasive, complex, and ever-evolving due to factors like enormous growth in the number of network users, continuous appearance of network applications, increasing amount of data transferred, and diversity of user behaviors. Understanding and measuring such a network is a difficult yet vital task for network management and diagnosis. Network traffic monitoring, analysis, and anomaly detection provide useful tools for understanding network behavior and determining network performance and reliability so as to effectively and promptly troubleshoot and resolve various issues in practice.
UR - http://hdl.handle.net/10754/566001
UR - http://ieeexplore.ieee.org/document/5772054/
UR - http://www.scopus.com/inward/record.url?scp=79957613935&partnerID=8YFLogxK
U2 - 10.1109/MNET.2011.5772054
DO - 10.1109/MNET.2011.5772054
M3 - Article
SN - 0890-8044
VL - 25
SP - 6
EP - 7
JO - IEEE Network
JF - IEEE Network
IS - 3
ER -