Open Access
Issue |
ITM Web Conf.
Volume 32, 2020
International Conference on Automation, Computing and Communication 2020 (ICACC-2020)
|
|
---|---|---|
Article Number | 03021 | |
Number of page(s) | 6 | |
Section | Computing | |
DOI | https://doi.org/10.1051/itmconf/20203203021 | |
Published online | 29 July 2020 |
- Android Architechure Description [Online]. Available: https://tinyurl.com/w8b34g4 [Google Scholar]
- Tiwari Mohini, Srivastava Kumar and Gupta Nitesh; “Review on Android and Smartphone Security” NRI Institute of Information Science and Technology, Bhopal, Madhya Pradesh, INDIA. Vol. 1(6), 12-19, November (2013). [Google Scholar]
- Sainath Pawar, Saiprasad Pore, Suprita Tendulkar, Vinayak Malavade “Android Application for Antitheft Security through SMS” IJSRD Vol. 4, issue 02, 2016. [Google Scholar]
- Onkar Mule, Nihal Shaikh, Pratik Shinde, Amit Wa-gaskar, Prof. Sneha Ramtek. “Remote Access of Android Smart Phone” volume 7, issue 4, April 2017. [Google Scholar]
- Yongqing Gao, Chunlai Zhou, Dan Shang, “A Smart Phone Anti-theft Solution Based on Locking Card of Mobile Phone”, International Conference on Computational and Information Sciences, 2011. [Google Scholar]
- Azeem Ush Shan Khan, Mohammad Naved Qureshi and Mohammed Abdul Qadeer, “Anti-Theft Application for Android-Based Devices”, IEEE International Advance Computing Conference (IACC), 2014. [Google Scholar]
- Iliyasu Adam, Cihan Varo and Asaf Varol, “Problems and Prospects of Anti-Theft and Mobile Phone Tracking: A case in Nigeria”, 7th International Symposium on Digital Forensics and Security (ISDFS), 2019. [Google Scholar]
- Shirin Salim “Monitoring System for detecting mobile theft” International Journal of Computational Science and Information Technology Vol. 4, No. 2, May 2016. [Google Scholar]
- Meng Jin, Yuan He, Dingyi Fang, Xiaojiang Chen, Xin Meng & Tianzhang Xing, “iGuard: A Real-Time Anti-Theft System for Smartphones”, IEEE Transactions on Mobile Computing, Vol:17 issue:10 Oct 2018. [Google Scholar]
- Xinyu Liu, David Wagner, Serge Egelman, “Detecting Phone Theft Using Machine Learning”, 14th ICISS, 2018. [Google Scholar]
- Support Vector Machines Explanation [Online]. Available: https://tinyurl.com/uaouav7 [Google Scholar]
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