Intelligent mobile malware detection:
The popularity of Android mobile phones has caused more cybercriminalstocreate malware applications that carry out various malicious activities. The attacks, whichescalatedafter the COVID-19 pandemic, proved there is great importance in protecting Android mobile devices from malware attacks. Intelli...
Gespeichert in:
| Beteiligte Personen: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Boca Raton, FL
CRC Press
2023
|
| Ausgabe: | First edition. |
| Schriftenreihe: | Security, privacy, and trust in mobile communications
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781000824988/?ar |
| Zusammenfassung: | The popularity of Android mobile phones has caused more cybercriminalstocreate malware applications that carry out various malicious activities. The attacks, whichescalatedafter 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, the text 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, andthe 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. |
| Beschreibung: | Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on February 07, 2023) |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9781000824971 1000824977 9781003121510 1003121519 9781000824988 1000824985 |
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| 520 | |a The popularity of Android mobile phones has caused more cybercriminalstocreate malware applications that carry out various malicious activities. The attacks, whichescalatedafter 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, the text 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, andthe 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. | ||
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| 650 | 4 | |a COMPUTERS / Networking / Security | |
| 650 | 4 | |a Computer crimes ; Prevention | |
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| author | Thomas, Tony John, Teenu S. Surendran, Roopak Alazab, Mamoun 1980- |
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| indexdate | 2025-04-10T09:36:49Z |
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| series2 | Security, privacy, and trust in mobile communications |
| spelling | Thomas, Tony VerfasserIn aut Intelligent mobile malware detection Tony Thomas, Roopak Surendran and Teenu S. John, Mamoun Alazab First edition. Boca Raton, FL CRC Press 2023 ©2023 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Security, privacy, and trust in mobile communications Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on February 07, 2023) The popularity of Android mobile phones has caused more cybercriminalstocreate malware applications that carry out various malicious activities. The attacks, whichescalatedafter 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, the text 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, andthe 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. Mobile communication systems Security measures Mobile computing Security measures Computer crimes Prevention Malware (Computer software) Radiocommunications mobiles ; Sécurité ; Mesures Informatique mobile ; Sécurité ; Mesures Logiciels malveillants COMPUTERS / Security / Viruses COMPUTERS / Networking / Security Computer crimes ; Prevention John, Teenu S. VerfasserIn aut Surendran, Roopak VerfasserIn aut Alazab, Mamoun 1980- VerfasserIn aut 0367638711 Erscheint auch als Druck-Ausgabe 0367638711 |
| spellingShingle | Thomas, Tony John, Teenu S. Surendran, Roopak Alazab, Mamoun 1980- Intelligent mobile malware detection Mobile communication systems Security measures Mobile computing Security measures Computer crimes Prevention Malware (Computer software) Radiocommunications mobiles ; Sécurité ; Mesures Informatique mobile ; Sécurité ; Mesures Logiciels malveillants COMPUTERS / Security / Viruses COMPUTERS / Networking / Security Computer crimes ; Prevention |
| title | Intelligent mobile malware detection |
| title_auth | Intelligent mobile malware detection |
| title_exact_search | Intelligent mobile malware detection |
| title_full | Intelligent mobile malware detection Tony Thomas, Roopak Surendran and Teenu S. John, Mamoun Alazab |
| title_fullStr | Intelligent mobile malware detection Tony Thomas, Roopak Surendran and Teenu S. John, Mamoun Alazab |
| title_full_unstemmed | Intelligent mobile malware detection Tony Thomas, Roopak Surendran and Teenu S. John, Mamoun Alazab |
| title_short | Intelligent mobile malware detection |
| title_sort | intelligent mobile malware detection |
| topic | Mobile communication systems Security measures Mobile computing Security measures Computer crimes Prevention Malware (Computer software) Radiocommunications mobiles ; Sécurité ; Mesures Informatique mobile ; Sécurité ; Mesures Logiciels malveillants COMPUTERS / Security / Viruses COMPUTERS / Networking / Security Computer crimes ; Prevention |
| topic_facet | Mobile communication systems Security measures Mobile computing Security measures Computer crimes Prevention Malware (Computer software) Radiocommunications mobiles ; Sécurité ; Mesures Informatique mobile ; Sécurité ; Mesures Logiciels malveillants COMPUTERS / Security / Viruses COMPUTERS / Networking / Security Computer crimes ; Prevention |
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