Anomaly detection for cellular networks using big data analytics

被引:16
作者
Li, Bing [1 ]
Zhao, Shengjie [1 ,2 ]
Zhang, Rongqing [2 ,3 ]
Shi, Qingjiang [2 ]
Yang, Kai [1 ]
机构
[1] Tongji Univ, Key Lab Embedded Syst & Serv Comp, Minist Educ, Shanghai 201804, Peoples R China
[2] Tongji Univ, Sch Software Engn, Shanghai 201804, Peoples R China
[3] Shandong Univ, Shandong Prov Key Lab Wireless Commun Technol, Jinan, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
Big Data; mobile computing; data analysis; Internet; cellular radio; cellular networks; big data analytics; mobile technology; cellular network big data; big data analytic-based anomaly detection method; state-of-the-art techniques; mobile Internet; smart devices; FRAMEWORK;
D O I
10.1049/iet-com.2019.0765
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Broadband connectivity and mobile technology have been widely applied in the world. With these advanced technologies, the proliferation of smart devices and their applications by accessing mobile internet have come up with a giant leap forward, leading to the ever-increasing scale and complexity of cellular networks. This presents imminent challenges to anomaly detection in cellular networks. In this study, the authors discuss challenges and current literature of anomaly detection for cellular networks to embrace the 'big data' era. First, they review the state-of-the-art techniques in the area of anomaly detection in cellular networks. Then, the challenges are pinpointed for anomaly detection due to the cellular network big data. Finally, they introduce a big data analytic-based anomaly detection method for cellular networks.
引用
收藏
页码:3351 / 3359
页数:9
相关论文
共 48 条
  • [1] Abdelrahman O. H., 2015, INT INTERNET THINGS, P210
  • [2] [Anonymous], 2016, J ELECT COMPUTER ENG
  • [3] [Anonymous], INT C MACH LEARN NET
  • [4] [Anonymous], 2014, P IEEE NETW OP MAN S
  • [5] [Anonymous], COMM ICC 2011 IEEE I
  • [6] [Anonymous], P SIGCOMM COMP COMM
  • [7] [Anonymous], IEEE ACCESS
  • [8] [Anonymous], 2009 3 IEEE INT
  • [9] Bai ZJ, 2005, LECT NOTES COMPUT SC, V3756, P471
  • [10] Casas P., 2017, PROC 2017 IEEE 13 IN, P1