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Some Improvements to Social Authentication and Bot Detection and Their Applications in IoT

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2023, Master of Computer Science, Miami University, Computer Science and Software Engineering.
The field of security is constantly evolving. One area of focus that has seen very little industry change in recent years is the area of fallback authentication. Industry standards continue to use insecure methods such as security questions and out-of-band services. Social authentication is a new type of fallback authentication which could improve security in many systems. In this thesis we first review various methods of trustee-based social authentica- tion (TBSA) and analyze them for security flaws. We then propose two different methods, knowledge verified and CAPTCHA-aided TBSA, to help solve the issues tied to recently proposed TBSA methods. Furthermore, we combine these two methods to propose a novel scheme called knowledge verified CAPTCHA-aided TBSA. Lastly, we describe the benefits and the applications of applying these methods in the field of Internet of Things (IoT). The implementation of knowledge verified TBSA, CAPTCHA, and video notarization backed by deepfake detection provide a robust and secure method of authentication that rivals any method of fallback authentication currently implemented in IoT and the rest of the industry.
Khodakhast Bibak (Advisor)
Vaskar Raychoudhury (Committee Member)
Suman Bhunia (Committee Member)
114 p.

Recommended Citations

Citations

  • Krzciok, J. J. (2023). Some Improvements to Social Authentication and Bot Detection and Their Applications in IoT [Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1681841970044092

    APA Style (7th edition)

  • Krzciok, Jacob. Some Improvements to Social Authentication and Bot Detection and Their Applications in IoT. 2023. Miami University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=miami1681841970044092.

    MLA Style (8th edition)

  • Krzciok, Jacob. "Some Improvements to Social Authentication and Bot Detection and Their Applications in IoT." Master's thesis, Miami University, 2023. http://rave.ohiolink.edu/etdc/view?acc_num=miami1681841970044092

    Chicago Manual of Style (17th edition)