Soongsil University

Kichang Kim

Jeong Hyun Yi

Provided is a method of application malware detection based on dynamic Application Programming Interface (API) extraction, and a readable medium and an apparatus for performing the same. The method of application malware detection based on dynamic API extraction includes generating an API classifier which classifies an input API as malicious or benign using API used in a sample application classified as malicious application apps or benign application apps, and inputting a pre-stored target API into the API classifier to classify the target API as malicious or benign.

Method of application malware detection based on dynamic API extraction, and readable medium and apparatus for performing the method

Provided is a method of application security vulnerability evaluation based on tree boosting and a readable medium and an apparatus for performing the same. The method of application security vulnerability evaluation based on tree boosting includes the step of generating an API classifier which classifies an input API as benign or malicious using a tree boosting-based algorithm, the step of calculating security vulnerability score of API using the API classifier, and the step of classifying a target application as a malicious application or a benign application according to the security vulnerability score of API used in the target application.

Growing community of inventors

Icheon-si, South Korea

Kichang Kim