摘要:
A statistical information generator for VoIP traffic analysis is provided, which comprises a packet collection module collecting packets from a network; and a statistical information generation module analyzing information of a call setup packet or a media packet among the packets collected by the packet collection module, and generating statistical information of the network; wherein if the packet collected by the packet collection module is the call setup packet, the statistical information generation module generates the statistical information of the network using at least one of transmitter identification information, receiver identification information, and call identification information among information of the call setup packet as a key value, while if the packet collected by the packet collection module is the media packet, the statistical information generation module generates the statistical information of the network using media session identification information among information of the media packet as a key value.
摘要:
Provided is a system for blocking session initiation protocol (SIP)-based abnormal traffic. The system includes: a policy database (DB) in which allowed traffic is stored according to transmission priority; an abnormal traffic response module which receives traffic from a first network and transmits only portions of the received traffic, which match the allowed traffic stored in the policy DB, to a second network in order of transmission priority; and an abnormal traffic detection module which analyzes the traffic received from the first network and provides an activation signal to the abnormal traffic response module when detecting that the received traffic is abnormal traffic, wherein the abnormal traffic response module transmits the portions of the received traffic, which match the allowed traffic stored in the policy DB, to the second network such that the sum of the portions transmitted to the second network does not exceed a maximum allowed traffic limit.
摘要:
A statistical information generator for VoIP traffic analysis is provided, which comprises a packet collection module collecting packets from a network; and a statistical information generation module analyzing information of a call setup packet or a media packet among the packets collected by the packet collection module, and generating statistical information of the network; wherein if the packet collected by the packet collection module is the call setup packet, the statistical information generation module generates the statistical information of the network using at least one of transmitter identification information, receiver identification information, and call identification information among information of the call setup packet as a key value, while if the packet collected by the packet collection module is the media packet, the statistical information generation module generates the statistical information of the network using media session identification information among information of the media packet as a key value.
摘要:
Provided is a system for detecting a voice over Internet protocol (VoIP) toll fraud attack. The system includes: a database (DB) storing registration information of normal users; a packet reception module receiving a call set-up packet from a network; and a VoIP signaling message forgery/falsification detection module receiving the call set-up packet from the packet reception module and comparing sender address information or header information of the call set-up packet with the registration information stored in the DB to detect whether the call set-up packet is a packet received from one of the normal users.
摘要:
A hybrid network discovery method for detecting client applications. The method has the steps of: (a) applying test traffic packets to a network which is to be measured, and analyzing responses so as to check target nodes; (b) transmitting a protocol request packet to each of the checked target nodes; and (c) when the URL of the header of the protocol request packet coincides with a site for a specific application of the target node, extracting the URL and the IP address of the target node.