Korea University Research and Business Foundation

Hyundai Motor Company

Kia Corporation

Qatar Foundation

Huy Kang Kim

Sangho Lee

Seung Wook Park

Wha Pyeong Lim

Eunji Park

Jae Woong Choi

Khaled M Khan

Minsoo Ryu

Armstrong Nhlabatsi

Seong Hoon Jeong

Noora Fetais

Seonghoon Jeong

Dong Seong Kim

Jin Bum Hong

Jeong Do Yoo

Hwejae Lee

Kang Uk Seo

Simon Enoch Yusuf

Yeon Jae Kang

Daekwon Pi

Dongnam Seo

Huiju Lee

Sang Hoon Jeon

Mengmeng Ge

Hwa Jae Choi

Sang Min Park

Paul Kim

Disclosed is a method of detecting anomaly of an unmanned moving object by using a message ID sequence, and the method includes: collecting packet data generated in the unmanned moving object; pre-processing the collected packet data; and detecting an anomaly of the unmanned moving object based on a message ID pattern of the packet data by inputting the pre-processed packet data to a pre-trained neural network model.

Anomaly detection model using message id sequence on unmanned moving objects

Disclosed is a method of extracting file feature information, the method being performed by a computing device including at least one processor, the method including: converting input data in a form of a binary file into data with a preset size; and extracting feature information of the input data from the data with the preset size. The representative drawing may be FIG.

Binary file feature information extraction through binary file immobilization and wavelet signal processing

Disclosed is a method of obfuscating a Controller Area Network (CAN) message performed by a first computing device including a processor, the method including: obtaining a first index from a first input value corresponding to a first time point by using an index output algorithm; determining a first CAN ID of the first computing device corresponding to the first index based on a predetermined CAN ID table; and generating a first normal CAN message including the first CAN ID and first normal data.

Obfuscation method for controller area network message

Provided are an intrusion prevention system and a method for detecting and responding to a vehicle intrusion by means of an SDN support switch installed in an in-vehicle network (IVN) and an SDN controller communicating with the SDN-enabled switch, the method in which the SDN controller receives a flow table from the SDN-enabled switch, enables an intrusion detection system (IDS) to perform intrusion detection, and updates the flow table on the basis of the intrusion detection execution result.

SDN-based intrusion response method for in-vehicle network and system using same

A computer-implemented method for monitoring the security of a computing network which includes a plurality of hosts and a plurality of edges which link connected hosts. The method comprises capturing and storing first and second network state information at first and second times respectively. The method comprises comparing the first and second network state information to detect a change in the security of the network during the time window between the first and second times. The method further comprises storing security change data which is indicative of the change in the security of the network during the time window for a user to monitor the change in the security of the network.

Methods and systems for monitoring network security

Disclosed is technology relating to a device and method for detecting bypass access and account theft. In the method for detecting bypass access from a client to a server according to the present invention: a server receives access data comprising data about hops on the route from the client to the server by using a route tracing agent; region data is extracted from the IP address(es) of the hop(s) comprised in the received access data; a judgment is made as to whether the extracted region data belongs to a pre-set access-permitted region; and the server detects whether the access from the client is bypass access, in accordance with the judgment results.

Device and method for detecting bypass access and account theft

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Seoul, South Korea

Huy Kang Kim