Android Malware Detection and Adversarial Methods

Dr. Weina Niu is an associate professor and master’s supervisor in the School of Computer Science and Engineering (School of Cyberspace Security), University of Electronic Science and Technology of China. He has published many papers in international academic journals/conferences on key issues in malicious traffic analysis, malicious code detection, and log anomaly detection; he has served as a reviewer for several well-known academic journals in the field of network security. He is currently the deputy director of the 5G Application Innovation Joint Laboratory of China Mobile (Chengdu) Industrial Research Institute and the Institute of Cyberspace Security of the University of Electronic Science and Technology of China.  Dr. Xiaosong Zhang is a professor and doctoral supervisor in the School of Computer Science and Engineering (School of Cyberspace Security) at the University of Electronic Science and Technology of China and serves as the Dean ofthe School of Cyberspace Security. Prof. Zhang has long been devoted to basic research, technology research, and talent training in the field of information technology and security, carrying out systematic and innovative research around core issues in software and network security, big data, and blockchain security and applications. He is currently the deputy director of the Network Security Committee of the Sichuan Electronics Society and the deputy director of the Blockchain Branch of the Chinese Electronics Society. He has published many academic papers in top academic conferences and journals such as CCS, NDSS, TSE, TIFS, etc. He has published and translated several monographs related to cybersecurity.  Ran Yan is currently a PhD student majoring in Cybersecurity in the School of Computer Science and Engineering at the University of Electronic Science and Technology of China (UESTC). His research focus is on evasion technology of Android malware. Gong Jiacheng is currently a PhD student majoring in Cybersecurity in the School of Computer Science and Engineering at the University of Electronic Science and Technology of China (UESTC). His research focus is on intelligent detection of Android malware.

• Chapter1: Introduction of Android malware detection.-Chapter2: Feature Code Based Android Malware Detection Method.-Chapter3: Behavior based detection method for Android malware.-Chapter4: AI-Based Android Malware Detection Methods.-Chapter5: Static adversarial method.-Chapter6: Dynamic Adversarial Method in Android.-Chapter7: AI-based Adversarial Method in Android.-Chapter8: Future Trends in Android Malware Detection