Poster: Securing IoT Edge Devices: Applying NIST IR 8259A to a Realtime Animal Detection System

Rahul Choutapally, Konika Reddy Saddikuti, Solomon Berhe (University of the Pacific)

Urban safety concerns about small animals under vehicles inspired the AniLarm IoT prototype, which uses a Seek Thermal Compact Camera and Raspberry Pi for realtime detection via thermal imaging. The system delivers results through auditory alerts and operates offline. This research evaluates the applicability of NIST IR 8259A standards, focusing on secure authentication, data protection, system integrity, and maintainability in edge IoT applications.

Paper

View More Papers

Silence False Alarms: Identifying Anti-Reentrancy Patterns on Ethereum to...

Qiyang Song (Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University of Chinese Academy of Sciences), Heqing Huang (Institute of Information Engineering, Chinese Academy of Sciences), Xiaoqi Jia (Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University of Chinese Academy of Sciences), Yuanbo Xie (Institute of Information…

Moneta: Ex-Vivo GPU Driver Fuzzing by Recalling In-Vivo Execution...

Joonkyo Jung (Department of Computer Science, Yonsei University), Jisoo Jang (Department of Computer Science, Yonsei University), Yongwan Jo (Department of Computer Science, Yonsei University), Jonas Vinck (DistriNet, KU Leuven), Alexios Voulimeneas (CYS, TU Delft), Stijn Volckaert (DistriNet, KU Leuven), Dokyung Song (Department of Computer Science, Yonsei University)

Five Word Password Composition Policy

Sirvan Almasi (Imperial College London), William J. Knottenbelt (Imperial College London)