Samsung Electronics Co., Ltd.

Nhn Corporation

Nhn Cloud Corporation

Chang Yul Lee

Seung Eun Lee

Joo Yeon Lee

Jong Hoon Won

Ji Yoon Park

Moon Soo Chang

Jun Yeop Lee

Choong Hyun Kim

A method and apparatus for predicting game difficulty by using a deep-learning based game play server predict a difficulty of stage maps of a match puzzle game using a deep-learning based game play server that performs the match puzzle game and modify the stage maps. The deep-learning based game play server includes: a communicator configured to receive first stage maps of a first size and second stage maps of a second size; memory configured to store an agent model; at least one processor configured to perform learning of the agent model and perform the match puzzle game using the learned agent model.

Method and apparatus for predicting game difficulty by using deep-learning based game play server

Provided is a method of monitoring mobile game macro user. The method is performed by a processor of a computer. The method comprises executing an emulator module on an operating system module of the computer; generating a virtual terminal of a mobile operating system in the executed emulator module; executing a mobile game on the mobile operating system through the generated virtual terminal; executing a monitoring module, configured to monitor use of a mobile game macro for the mobile game executed in the virtual terminal through the emulator module, on the operating system module of the computer; checking, by the executed monitoring module, an identification portion displayed on a display screen of the mobile game; detecting, by the executed monitoring module, the use of the mobile game macro for the mobile game; and when the use of the mobile game macro is detected, transmitting the identification portion or identification information identified by the identification portion to a mobile game service server.

Method and system for monitoring mobile game macro user

An electronic device and method are disclosed herein. An electronic device includes one or more biometric sensors, a memory configured to store an authentication setting table associated with one or more authentication methods associated with one or more authentication levels, and a processor operatively connected to the memory and the one or more biometric sensors. The processor implements the method, including: receive authentication level information associated with a function executed by the electronic device, select at least one authentication method of the one or more authentication methods matching an authentication level indicated by the received authentication level information, and perform user authentication based on the selected at least one authentication method through the one or more biometric sensors.

Method for adaptive authentication and electronic device supporting the same

Growing community of inventors

Gyeonggi-do, South Korea

Chang Yul Lee