Intelligent Mobile Malware Detection
暫譯: 智能行動惡意程式檢測
Thomas, Tony, John, Teenu, Alazab, Mamoun
- 出版商: CRC
- 出版日期: 2022-12-30
- 售價: $3,470
- 貴賓價: 9.5 折 $3,297
- 語言: 英文
- 頁數: 174
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 0367638711
- ISBN-13: 9780367638719
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相關主題
商品描述
The popularity of Android mobile phones has caused more cybercriminals to create malware applications that carry out various malicious activities. The attacks, which escalated after the COVID-19 pandemic, proved there is great importance in protecting Android mobile devices from malware attacks. Intelligent Mobile Malware Detection will teach users how to develop intelligent Android malware detection mechanisms by using various graph and stochastic models. The book begins with an introduction to the Android operating system accompanied by the limitations of the state-of-the-art static malware detection mechanisms as well as a detailed presentation of a hybrid malware detection mechanism. The text then presents four different system call-based dynamic Android malware detection mechanisms using graph centrality measures, graph signal processing and graph convolutional networks. Further, it shows how most of the Android malware can be detected by checking the presence of a unique subsequence of system calls in its system call sequence. All the malware detection mechanisms presented in the book are based on the authors' recent research. The experiments are conducted with the latest Android malware samples and the malware samples are collected from public repositories. The source codes are also provided for easy implementation of the mechanisms. This book will be highly useful to Android malware researchers, developers, students and cyber security professionals to explore and build defense mechanisms against the ever-evolving Android malware.
商品描述(中文翻譯)
Android 手機的普及使得越來越多的網路犯罪分子創建惡意軟體應用程式，執行各種惡意活動。這些攻擊在 COVID-19 大流行後加劇，證明了保護 Android 行動裝置免受惡意軟體攻擊的重要性。《智能行動惡意軟體檢測》將教導使用者如何利用各種圖形和隨機模型來開發智能的 Android 惡意軟體檢測機制。本書首先介紹 Android 作業系統，並說明最先進的靜態惡意軟體檢測機制的局限性，以及詳細介紹一種混合惡意軟體檢測機制。接著，文本展示了四種基於系統呼叫的動態 Android 惡意軟體檢測機制，這些機制使用圖形中心性度量、圖形信號處理和圖形卷積網絡。此外，還展示了如何通過檢查系統呼叫序列中唯一子序列的存在來檢測大多數 Android 惡意軟體。本書中介紹的所有惡意軟體檢測機制均基於作者最近的研究。實驗是使用最新的 Android 惡意軟體樣本進行的，這些樣本來自公共資料庫。源代碼也提供，以便於機制的實現。本書對於 Android 惡意軟體研究人員、開發者、學生和網路安全專業人士來說，將非常有用，幫助他們探索和建立對抗不斷演變的 Android 惡意軟體的防禦機制。
作者簡介
Tony Thomas is an associate professor at the Indian Institute of Information Technology and Management, Kerala (IIITM-K), India. He earned his master's and Ph.D degrees from IIT Kanpur. After completing his PhD, he pursued postdoctoral research at the Korea Advanced Institute of Science and Technology, Daejeon, South Korea. He later worked as a member of the research staff at the General Motors Research Lab, Bangalore, India, and the School of Computer Engineering, Nanyang Technological University, Singapore. His current research interests include malware analysis, biometrics, cryptography, machine learning, cyber threat prediction and visualization, digital watermarking, multimedia security and digital forensics.
Roopak Surendran is currently pursuing his PhD in the area of Android malware analysis at the Indian Institute of Information Technology and Management-Kerala (IIITM-K). Before joining his PhD program, he completed his MPhil degree in computer science with a specialization in cyber security from IIITM-K. He has published several research papers related to Android malware analysis and phishing detection. His research interests include malware analysis and phishing detection.
Teenu S. John holds an MTech degree in computer science with specialization in data security from TocH Institute of Science and Technology, part of the Cochin University of Science and Technology, Kerala, India and a BTech degree in Information Technology from the College of Engineering Perumon, also part of the Cochin University of Science and Technology, Kerala, India. She is currently doing her PhD in detecting adversarial attacks in Android malware detection at the Indian Institute of Information Technology and Management, Kerala (IIITM-K). Her research interests include malware analysis, machine learning for cybersecurity, data analytics and cyber threat detection.
Mamoun Alazab is an associate professor at the College of Engineering, IT and Environment at Charles Darwin University, Australia. Dr. Alazab's research is multidisciplinary and focuses on cybersecurity, which includes current and emerging issues in cyber environments such as cyber-physical systems, specifically cybercrime detection and prevention. His research focuses on human behavior, computational analysis like AI, machine learning, including deep learning for access control and biometrics, and human information processing concerns in security and privacy. He has published more than 150 research papers in many international journals and conferences. His research over the years has contributed to the development of several successful secure commercial systems in the areas of secure network systems, security tools, AI security, secure mobile systems, as well as cryptographic, cyber-physical systems for security, and applications where the devices are often lightweight.
作者簡介(中文翻譯)
Tony Thomas 是印度喀拉拉邦資訊科技與管理學院（IIITM-K）的副教授。他在印度理工學院坎普爾分校（IIT Kanpur）獲得碩士和博士學位。完成博士學位後，他在南韓大田的韓國科學技術院（KAIST）進行了博士後研究。之後，他曾在印度班加羅爾的通用汽車研究實驗室和新加坡南洋理工大學的計算機工程學院擔任研究人員。他目前的研究興趣包括惡意軟體分析、生物識別技術、密碼學、機器學習、網路威脅預測與可視化、數位水印、多媒體安全和數位取證。
Roopak Surendran 目前在印度喀拉拉邦資訊科技與管理學院（IIITM-K）攻讀有關 Android 惡意軟體分析的博士學位。在加入博士課程之前，他在 IIITM-K 完成了以網路安全為專業的計算機科學碩士學位（MPhil）。他已發表多篇與 Android 惡意軟體分析和釣魚檢測相關的研究論文。他的研究興趣包括惡意軟體分析和釣魚檢測。
Teenu S. John 擁有印度喀拉拉邦科欽科技大學（Cochin University of Science and Technology）TocH 科技學院的計算機科學碩士學位（MTech），專攻數據安全，以及科欽科技大學工程學院的資訊科技學士學位（BTech）。她目前在印度喀拉拉邦資訊科技與管理學院（IIITM-K）攻讀博士學位，研究主題為 Android 惡意軟體檢測中的對抗性攻擊檢測。她的研究興趣包括惡意軟體分析、用於網路安全的機器學習、數據分析和網路威脅檢測。
Mamoun Alazab 是澳大利亞查爾斯達爾文大學工程、資訊科技與環境學院的副教授。Alazab 博士的研究是多學科的，專注於網路安全，包括網路環境中當前和新興的問題，如網路物理系統，特別是網路犯罪的檢測和預防。他的研究重點是人類行為、計算分析（如 AI、機器學習，包括用於存取控制和生物識別的深度學習），以及安全和隱私中的人類信息處理問題。他在許多國際期刊和會議上發表了超過 150 篇研究論文。多年的研究為多個成功的安全商業系統的開發做出了貢獻，這些系統涵蓋安全網路系統、安全工具、AI 安全、安全移動系統，以及用於安全的密碼學和網路物理系統，並且這些設備通常是輕量級的。
