Visible to the public Security Assessment for Zenbo Robot Using Drozer and mobSF Frameworks

TitleSecurity Assessment for Zenbo Robot Using Drozer and mobSF Frameworks
Publication TypeConference Paper
Year of Publication2021
AuthorsYankson, Benjamin, K, Javed Vali, Hung, Patrick C. K., Iqbal, Farkhund, Ali, Liaqat
Conference Name2021 11th IFIP International Conference on New Technologies, Mobility and Security (NTMS)
Keywordsandroid, assessment, Collaboration, Computer hacking, forensic, human factors, Humanoid robots, IoT, Linux, Mobile handsets, Operating systems, policy-based governance, pubcrawl, resilience, Resiliency, robot operating systems security, security, Systematics, Tools, Zenbo
AbstractThese 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.
DOI10.1109/NTMS49979.2021.9432666
Citation Keyyankson_security_2021