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

DLBox: New Model Training Framework for Protecting Training Data

Jaewon Hur (Seoul National University), Juheon Yi (Nokia Bell Labs, Cambridge, UK), Cheolwoo Myung (Seoul National University), Sangyun Kim (Seoul National University), Youngki Lee (Seoul National University), Byoungyoung Lee (Seoul National University)

Designing and Evaluating a Testbed for the Matter Protocol:...

Ravindra Mangar (Dartmouth College) Jingyu Qian (University of Illinois), Wondimu Zegeye (Morgan State University), Abdulrahman AlRabah, Ben Civjan, Shalni Sundram, Sam Yuan, Carl A. Gunter (University of Illinois), Mounib Khanafer (American University of Kuwait), Kevin Kornegay (Morgan State University), Timothy J. Pierson, David Kotz (Dartmouth College)

Make your IoT environments robust against adversarial machine learning...

Hamed Haddadpajouh (University of Guelph), Ali Dehghantanha (University of Guelph)

Tools Make Me Snore: A Next-Gen Framework for Training...

Francis Hahn (USF)