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Filters: Author is Ali, Liaqat  [Clear All Filters]
2022-02-03
Yankson, Benjamin, K, Javed Vali, Hung, Patrick C. K., Iqbal, Farkhund, Ali, Liaqat.  2021.  Security Assessment for Zenbo Robot Using Drozer and mobSF Frameworks. 2021 11th IFIP International Conference on New Technologies, Mobility and Security (NTMS). :1—7.
These days, almost everyone has been entirely relying on mobile devices and mobile related applications running on Android Operating Systems, the most used Mobile Operating System in the world with the largest market share. These Mobile devices and applications can become an information goldmine for hackers and are considered one of the significant concerns mobile users face who stand a chance of being victimized during data breach from hackers due to lapse in information security and controls. Such challenge can be put to bare through systematic digital forensic analysis through penetration testing for a humanoid robot like Zenbo, which run Android OS and related application, to help identify associated security vulnerabilities and develop controls required to improve security using popular penetration testing tools such as Drozer, Mobile Application Security framework (mobSF), and AndroBugs with the help of Santoku Linux distribution.