2- https://doi.org/10.1109/ictc.2018.8539519
The Method of Seed Based Grouping Malicious Traffic by Deep-Learning
- Oct 1, 2018
- Ui-Jun Baek +3 more
Abstract
Today’s networks are growing rapidly and the network sector is an important factor in developing a variety of applications and services. At the same time, a variety of malicious traffic is occurring that threatens the network environment, and it is causing massive damage to the network environment. Thus research to analyze and detect malicious traffic is essential in the field of network management. In this paper, we propose a method based deep-learning to distinguish only malicious traffic from a set of traffic mixed with normal traffic. We intend to test a variety of different groups of experiments using the proposed malicious traffic detection model. We will improve and enhance our detection model through analysis of the result.
- # Malicious Traffic
- # Different Groups Of Experiments
- # Field Of Network Management
- # Groups Of Experiments
- # Detection Model
- # Network Environment
- # Malicious Model
- # Important Factor
- # Field Of Management
- # Traffic Model
