Zixiao Kong

TL;DR: By correlation and fusion of the static and dynamic API sequences, MalDAE is established, which gives an understandable explanation for common types of malware and provides predictive support for understanding and resisting malware.

TL;DR: An accurate and rich feature space is built which enables to depict and detect malware more effectively and the importance of the three aspects is evaluated and sorted quantitatively demonstrating that these aspects play the same effects with the optimal feature set.

TL;DR: In this article, the authors provide a comprehensive review of the theories and methods that enable researchers to enter the field of adversarial attack and introduce the concepts, types, and hazards of the adversarial attacks.

TL;DR: This article systematically reviews the knowledge of malware in accordance with the most effective research route, that is, “Why?”, and summarizes the concept, type, and harm of malware, to establish a comprehensive and clear framework for anti-malware research in a correct route.

TL;DR: In the framework, the software defined network technology (SDN) is adopted to realize the global management of the deployment and application of a large number of edge equipment, which can effectively realize the effective security protection of the Internet of everything.