Abstract:
The present invention relates to an insider threat detection device and method which collects and analyzes a variety of information generated by insiders working for an organization, such as behaviors, events, and states of the insider, and detects an abnormal insider who may become a potential threat. According to the present invention, the insider threat detection method and apparatus analyzes information related to insiders using the correlation analysis method, and previously detects an abnormal sign of an insider who may become a potential threat to an organization, which makes it possible to protect the organization from attacks on systems inside the organization or seizure of important information inside the organization.
Abstract:
The present invention relates to an insider threat detection device and method which collects and analyzes a variety of information generated by insiders working for an organization, such as behaviors, events, and states of the insider, and detects an abnormal insider who may become a potential threat. According to the present invention, the insider threat detection method and apparatus analyzes information related to insiders using the correlation analysis method, and previously detects an abnormal sign of an insider who may become a potential threat to an organization, which makes it possible to protect the organization from attacks on systems inside the organization or seizure of important information inside the organization.
Abstract:
There are provided a system and method for tracing back an attacker by using centroid decomposition technique, the system including: a log data input module collecting log data of an intrusion alarm from an intrusion detection system; a centroid node detection module generating a shortest path tree by applying a shortest path algorithm to network router connection information collected by a network administration server, detecting a centroid node by applying centroid decomposition technique removing a leaf-node to the shortest path tree, and generating a centroid tree whose node of each level is the detected centroid node; and a traceback processing module requesting log data of a router matched with the node of each level of the centroid tree, and tracing back a router identical to the log data of the collected intrusion alarm as a router connected to a source of an attacker by comparing the log data of the router with the log data of the collected intrusion alarm. According to the system and method, an attacker causing a security intrusion event may be quickly detected, a load on the system is reduced, and a passage host exposed to a danger or having weaknesses may be easily recognized, thereby easily coping with an attack.
Abstract:
An apparatus and method for visualizing a network condition related to a network security are provided. The apparatus includes a traffic feature extracting unit, a network condition displaying unit, and a traffic abnormal condition determining unit. The traffic feature extracting unit extracts information including source address, source port, destination address, and destination port from network traffics, selects two of the extracted information, and calculates unique dispersion degrees of two unselected information. The network condition displaying unit displays a two-dimensional cube expressed using the calculated unique dispersion degrees for the classified traffics. The traffic abnormal condition determining unit determines whether the traffics are in an abnormal condition or not based on the two-dimensional security cube.
Abstract:
An apparatus for detecting a network attack includes a traffic image generator for generating a traffic image using traffic information and additional IP information extracted from the traffic information; a network attack detector for comparing similarities between the traffic image and a previously generated traffic image based on a predetermined similarity threshold to detect the presence of the network attack; and a network attack analyzer for analyzing the traffic image at a time when the network attack is detected to detect network attack information and pattern information of the network attack. A representation unit for visualizing the network attack information and the pattern information of the network attack.
Abstract:
A network status display device using a traffic pattern map is provided. The device includes: a traffic feature extractor extracting a port number of a port having the maximum occupancy of micro-flows and macro-flows for each network address section and host address section with reference to traffic information collected by an external traffic information collector, calculating and storing an occupancy rate of the port; a traffic status display unit making a network traffic pattern map expressed by destination-source network addresses and a host traffic pattern map expressed by destination-source host addresses and displaying the port information stored in the traffic feature extractor on the network traffic pattern map and the host traffic pattern map; and a traffic anomaly determination unit determining whether a network status is abnormal with reference to the network traffic pattern map and the host traffic pattern map and detecting and reporting a harmful or abnormal traffic which causes the abnormal network status. The device can determine whether the anomaly deteriorating the network performance exists and can easily and quickly detect the harmful or abnormal traffic which causes the anomaly by the use of the port information of the port having the maximum occupancy of the micro-flows and the macro-flows for each network address section and each host address section.
Abstract:
A network status display device using a traffic flow-radar is provided. The network status display device includes: a traffic feature extractor calculating flow occupancy rates for total flows, micro-flows and macro-flows with respect to each of a plurality of traffic features with reference to traffic information for each traffic feature such as a network address, a port, a transmitting/receiving host address or a protocol collected by an external traffic information collector, and storing the calculation result; a traffic status display unit displaying the flow occupancy rates for each traffic feature calculated and stored in the traffic feature extractor on a radar with dots for each traffic feature; and a traffic anomaly determination unit determining whether a network status is abnormal with reference to the radar for each traffic feature, detecting and reporting the type of the abnormal network status and harmful or abnormal traffic that generates the abnormal network status, when the abnormal status occurs.
Abstract:
There are provided a system and method for tracing back an attacker by using centroid decomposition technique, the system including: a log data input module collecting log data of an intrusion alarm from an intrusion detection system; a centroid node detection module generating a shortest path tree by applying a shortest path algorithm to network router connection information collected by a network administration server, detecting a centroid node by applying centroid decomposition technique removing a leaf-node to the shortest path tree, and generating a centroid tree whose node of each level is the detected centroid node; and a traceback processing module requesting log data of a router matched with the node of each level of the centroid tree, and tracing back a router identical to the log data of the collected intrusion alarm as a router connected to a source of an attacker by comparing the log data of the router with the log data of the collected intrusion alarm. According to the system and method, an attacker causing a security intrusion event may be quickly detected, a load on the system is reduced, and a passage host exposed to a danger or having weaknesses may be easily recognized, thereby easily coping with an attack.
Abstract:
An apparatus and method for visualizing a network condition related to a network security are provided. The apparatus includes a traffic feature extracting unit, a network condition displaying unit, and a traffic abnormal condition determining unit. The traffic feature extracting unit extracts information including source address, source port, destination address, and destination port from network traffics, selects two of the extracted information, and calculates unique dispersion degrees of two unselected information. The network condition displaying unit displays a two-dimensional cube expressed using the calculated unique dispersion degrees for the classified traffics. The traffic abnormal condition determining unit determines whether the traffics are in an abnormal condition or not based on the two-dimensional security cube.
Abstract:
Provided is an apparatus for detecting and visualizing anomalies in network traffic which includes a traffic information storing portion storing information on network traffic, a traffic state display portion presenting a status of the network traffic generated for a predetermined threshold time based on the information on network traffic on an orthogonal coordinates system in a form of a graph connecting at least one point data as a coordinate value, and a traffic anomalies determination portion determining an existence of anomalies in the network traffic based on a shape of the graph.