Android Malware Detection and Adversarial Methods (Android 惡意程式檢測與對抗方法)
Niu, Weina, Zhang, Xiaosong, Yan, Ran
相關主題
商品描述
The rise of Android malware poses a significant threat to users' information security and privacy. Malicious software can inflict severe harm on users by employing various tactics, including deception, personal information theft, and device control. To address this issue, both academia and industry are continually engaged in research and development efforts focused on detecting and countering Android malware.
This book is a comprehensive academic monograph crafted against this backdrop. The publication meticulously explores the background, methods, adversarial approaches, and future trends related to Android malware. It is organized into four parts: the overview of Android malware detection, the general Android malware detection method, the adversarial method for Android malware detection, and the future trends of Android malware detection. Within these sections, the book elucidates associated issues, principles, and highlights notable research. By engaging with this book, readers will gain not only a global perspective on Android malware detection and adversarial methods but also a detailed understanding of the taxonomy and general methods outlined in each part. The publication illustrates both the overarching model and representative academic work, facilitating a profound comprehension of Android malware detection.商品描述(中文翻譯)
Android 惡意軟體的興起對用戶的信息安全和隱私構成了重大威脅。惡意軟體可以通過各種手段對用戶造成嚴重損害，包括欺騙、個人信息盜竊和設備控制。為了解決這一問題，學術界和業界不斷進行研究和開發，專注於檢測和對抗 Android 惡意軟體。
本書是在這一背景下撰寫的綜合性學術專著。該出版物詳細探討了與 Android 惡意軟體相關的背景、方法、對抗性方法和未來趨勢。全書分為四個部分：Android 惡意軟體檢測概述、一般 Android 惡意軟體檢測方法、Android 惡意軟體檢測的對抗性方法，以及 Android 惡意軟體檢測的未來趨勢。在這些部分中，書中闡明了相關問題、原則，並突出了重要的研究成果。
通過閱讀本書，讀者將不僅能夠獲得關於 Android 惡意軟體檢測和對抗性方法的全球視角，還能深入理解每個部分中概述的分類法和一般方法。該出版物展示了整體模型和代表性的學術工作，促進了對 Android 惡意軟體檢測的深刻理解。
作者簡介
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.
作者簡介(中文翻譯)
魏娜·牛博士是中國電子科技大學計算機科學與工程學院（網絡空間安全學院）的副教授及碩士生導師。他在國際學術期刊和會議上發表了多篇有關惡意流量分析、惡意代碼檢測和日誌異常檢測的關鍵問題的論文；並擔任多個知名網絡安全領域學術期刊的審稿人。目前，他是中國移動（成都）產業研究院5G應用創新聯合實驗室及中國電子科技大學網絡空間安全研究所的副主任。
張小松博士是中國電子科技大學計算機科學與工程學院（網絡空間安全學院）的教授及博士生導師，並擔任網絡空間安全學院的院長。張教授長期致力於信息技術與安全領域的基礎研究、技術研究及人才培養，圍繞軟件與網絡安全、大數據及區塊鏈安全與應用的核心問題展開系統性和創新性研究。目前，他是四川電子學會網絡安全委員會的副主任及中國電子學會區塊鏈分會的副主任。他在CCS、NDSS、TSE、TIFS等頂級學術會議和期刊上發表了多篇學術論文，並出版和翻譯了多部與網絡安全相關的專著。
阮妍目前是中國電子科技大學（UESTC）計算機科學與工程學院的網絡安全專業博士生。他的研究重點是Android惡意軟件的逃避技術。
龔嘉誠目前是中國電子科技大學（UESTC）計算機科學與工程學院的網絡安全專業博士生。他的研究重點是Android惡意軟件的智能檢測。
