Linear SVM-Based Android Malware Detection for Reliable IoT Services
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DOI: 10.1155/2014/594501
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Cited by:
- Ritika Raj Krishna & Aanchal Priyadarshini & Amitkumar V. Jha & Bhargav Appasani & Avireni Srinivasulu & Nicu Bizon, 2021. "State-of-the-Art Review on IoT Threats and Attacks: Taxonomy, Challenges and Solutions," Sustainability, MDPI, vol. 13(16), pages 1-46, August.
- Mohammed Talal & A. A. Zaidan & B. B. Zaidan & O. S. Albahri & M. A. Alsalem & A. S. Albahri & A. H. Alamoodi & M. L. M. Kiah & F. M. Jumaah & Mussab Alaa, 2019. "Comprehensive review and analysis of anti-malware apps for smartphones," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 72(2), pages 285-337, October.
- Sharfah Ratibah Tuan Mat & Mohd Faizal Ab Razak & Mohd Nizam Mohmad Kahar & Juliza Mohamad Arif & Salwana Mohamad & Ahmad Firdaus, 2021. "Towards a systematic description of the field using bibliometric analysis: malware evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2013-2055, March.
- Sherif El-Gendy & Mahmoud Said Elsayed & Anca Jurcut & Marianne A. Azer, 2023. "Privacy Preservation Using Machine Learning in the Internet of Things," Mathematics, MDPI, vol. 11(16), pages 1-35, August.
- Iqbal H. Sarker, 2023. "Machine Learning for Intelligent Data Analysis and Automation in Cybersecurity: Current and Future Prospects," Annals of Data Science, Springer, vol. 10(6), pages 1473-1498, December.
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