Abstract: The present invention relates to a attention deficit hyperactivity disorder psychological test diagnosis method based on virtual reality and artificial intelligence, and a system for implementing same, the method comprising the steps of: loading a plurality of pieces of personal questionnaire data; training AI on the basis of the personal questionnaire data; storing measurement data acquired when a person to be tested uses VR content for diagnosis; classifying attention deficit hyperactivity disorder (ADHD) classes by using the AI on the basis of the measurement data.

Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. According to the present disclosure, communication is performed more efficiently in a software defined network (SDN) environment.

Abstract: A method for dynamically changing an intrusion detection rule in a kernel level intrusion detection system is disclosed. The method includes the steps of: a) generating a replica of the intrusion detection rule in a kernel area; b) changing the replica of the intrusion detection rule according to a request of changing the intrusion detection rule from the kernel area; and c) changing a currently applied intrusion detection rule by exchanging a value of a pointer representing the intrusion detection rule with a value of a pointer representing the changed replica of the intrusion detection rule.

Abstract: A packet intrusion detection rule simplification apparatus and method and an intrusion detection apparatus and method are provided. Test conditions of at least one intrusion detection rules are rearranged based on test items, and the same test conditions for the same test items are grouped. Group rules having a connection structure of the test conditions are generated so that the test items and orders of the intrusion detection rules are satisfied. A common rule consisting of test conditions existing at the test start positions in the connection structure of the group rules is generated. Next, packet intrusion detection is performed by using the common rule, and the packet intrusion detection is performed by using the group rules. According, it is possible to reduce a load involved in the intrusion detection process by using the grouped and simplified intrusion detection rules.

Abstract: A packet intrusion detection rule simplification apparatus and method and an intrusion detection apparatus and method are provided. Test conditions of at least one intrusion detection rules are rearranged based on test items, and the same test conditions for the same test items are grouped. Group rules having a connection structure of the test conditions are generated so that the test items and orders of the intrusion detection rules are satisfied. A common rule consisting of test conditions existing at the test start positions in the connection structure of the group rules is generated. Next, packet intrusion detection is performed by using the common rule, and the packet intrusion detection is performed by using the group rules. According, it is possible to reduce a load involved in the intrusion detection process by using the grouped and simplified intrusion detection rules.

Abstract: A method for dynamically changing an intrusion detection rule in a kernel level intrusion detection system is disclosed. The method includes the steps of: a) generating a replica of the intrusion detection rule in a kernel area; b) changing the replica of the intrusion detection rule according to a request of changing the intrusion detection rule from the kernel area; and c) changing a currently applied intrusion detection rule by exchanging a value of a pointer representing the intrusion detection rule with a value of a pointer representing the changed replica of the intrusion detection rule.