Anomaly Teletraffic Intrusion Detection Systems on Hadoop-Based Platforms: A Survey of Some Problems and Solutions

Telecommunication networks are getting more important in our social lives because many people want to share their information and ideas. Thanks to the rapid development of the Internet and ubiquitous technologies including mobile devices such as smart phones, mobile phones and tablet PCs, the quality of our lives has been greatly influenced and rapidly changed in recent years. Internet users have exponentially increased as well. Meanwhile, the explosive growth of teletraffic called big data for user services threatens the current networks, and we face menaces from various kinds of intrusive incidents through the Internet. A variety of network attacks on network resources have continuously caused serious damage. Thus, active and advanced technologies for early detecting of anomaly teletraffic on Hadoop-based platforms are required. In this paper, a survey of some problems and technical solutions for anomaly teletraffic intrusion detection systems based on the open-source software platform Hadoop has been investigated and proposed.