-
1.发明申请公开(公告)号：US20180278635A1
公开(公告)日：2018-09-27
申请号：US15811248
申请日：2017-11-13
Inventor： Seungwon Shin , Chanhee Lee , Changhoon Yoon , Sang Kil Cha
CPC classification number: H04L63/1425 , G06F9/547 , G06N20/00 , H04L45/38 , H04L45/42 , H04L45/64 , H04L63/145
Abstract: Disclosed are an apparatus, a method, and a computer program by which it is determined whether a target network program generated in a software defined network is malicious by extracting a feature of a behavior graph of the target network program and applying machine learning to the behavior graph. Accordingly, a security and safety of a software defined network may be improved by detecting whether a computer program is malicious before the malware is installed.
-
公开(公告)号：US10200445B2
公开(公告)日：2019-02-05
申请号：US15496346
申请日：2017-04-25
Inventor： Seungwon Shin , Heedo Kang , Seungsoo Lee , Changhoon Yoon
Abstract: A method, an apparatus, and a computer program for analyzing performance of a network application program are provided. The method for analyzing performance of a network application program which operates at a controller in a software defined networking (SDN) environment may include receiving identification information of the application program, flow information, and network configuration information of a network controlled by the controller, emulating a virtual network using the network configuration information, executing the virtual network using the flow information, measuring a time, when a virtual controller processes a flow, on a function basis, extracting information corresponding to the identification information of the application program from the measured result, and analyzing a performance degradation factor of the application program using the extracted information. According to an embodiment, a network manager automatically searches for a critical path and a hotspot using a conventional profiling scheme.
-
Search Results
2
records
(took 0.014 seconds)
