Abstract:
Disclosed are provided a method and a system for network connection chain traceback by using network flow data in order to trace an attack source site for cyber hacking attacks that goes by way of various sites without addition of new equipment of a network or modification a standard protocol when the cyber hacking attack occurs in the Internet and an internal network.
Abstract:
A method, an apparatus, and a system for analyzing traffic through obtaining flow data of a flow from a switch or a router of a network, calculating an average byte per packet rate (BPR) and a TCP flag ratio (TCPFR) for all flows included in a session including the flow using the flow data, and comparing the average BPR and the TCPFR with an average BPR and a TCPFR of previously-known traffic and determining whether the traffic including the flow is normal traffic or abnormal traffic based on the comparison result are provided.
Abstract:
A visualizing apparatus of social network elements collects social network relationship information, community information, and content information of a user, generates relationship data between the user, the contents, and the community using the collected information, and visualizes an association relationship between the user, the contents, and the community using the relationship data between the user, the contents, and the community.
Abstract:
Disclosed herein a method and apparatus for detecting a malicious code based on an assembly language model. According to an embodiment of the present disclosure, there is provided a method for detecting a malicious code. The method comprising: generating an instruction code sequence by converting an input file, for which a malicious code is to be detected, into an assembly code; embedding the instruction code sequence by using a prelearned assembly language model for instruction code embedding and outputting an embedding result of the instruction code sequence; and detecting whether or not the input file is a malicious code, by using a prelearned malicious code classification model with the embedding result as an input.
Abstract:
A method and a computation apparatus detecting cyber threats using a neural network through steps of: generating a learning model by performing machine learning on training data based on baseline data, converting a security event collected in real time into input data for the neural network, and determining, as an output corresponding to the input data based on the learning model, whether the security event is normal or threat are provided.
Abstract:
Disclosed is an apparatus of detecting a distributed reflection denial of service attack, including: a monitoring unit obtaining flow information including an IP and a port number of a source, an IP and a port number of a destination of data, and the number and the sizes of packets; a memory unit storing a flow table in which the flow information of the data, the packet number and the packet size are input; and a control unit detecting the DRDoS attack by using at least one of the number and the size of packets of the first entry and the flow information of the first entry.
Abstract:
The method for tracking a cyber hacking is provided. The method of connection fingerprint generation and stepping-stone traceback based on NetFlow includes receiving a traceback request including IP packet attribute information of a victim and an attacker which corresponds to a target connection that is the last connection on a connection chain, generating a fingerprint for an associated connection based on the IP packet attribute information and requesting a NetFlow collector for relevant information, detecting a stepping-stone connection to the target connection which is generated at the time of generation of the fingerprint and instructing to check whether sorted candidate connections are present on the same connection chain as the target connection, and determining an order of the candidate connections based on an attacker host when the candidate connections are determined to be present on the same connection chain as the target connection.
Abstract:
According to a method and system for real-time malware detection based on web browser plugin, the method and system may connect a web server of a web site through a web browser module, execute a security module through a browser plugin of the web site, update a database for a browser cache of the web site from the web server by the security module, cache a web content of the web site from the web server, match cache data of the web content with the database, and warn about the web content if data matched with the cache data of the web content does not exist in the database.