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.

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Oreo: Protecting ASLR Against Microarchitectural Attacks

Shixin Song (Massachusetts Institute of Technology), Joseph Zhang (Massachusetts Institute of Technology), Mengjia Yan (Massachusetts Institute of Technology)

Keynote talk by Dr. May Wang (Palo Alto Networks)

ERW-Radar: An Adaptive Detection System against Evasive Ransomware by...

Lingbo Zhao (Institute of Information Engineering, Chinese Academy of Sciences), Yuhui Zhang (Institute of Information Engineering, Chinese Academy of Sciences), Zhilu Wang (Institute of Information Engineering, Chinese Academy of Sciences), Fengkai Yuan (Institute of Information Engineering, CAS), Rui Hou (Institute of Information Engineering, Chinese Academy of Sciences)