IoT Security
Overview
People
Outcome
Overview
This work aims to (1) secure IoT networks against the threat of Botnets using machine learning and deep learning techniques. We have presented one solution for IoT gateway and another one is under development for Raspberry Pi3 grade IoT devices. (2) Develop protocols for IoT swarms to self-heal (detect malicous behavior and remove it if possible).
Active from 2017
People
Outcome
- Himanshu Gandhi, Vinay Ribeiro Packet Batching for Reducing System Resource Consumption for Botnet Detection using Network Traffic Analysis , Cybersecurity and Privacy Workshop, COMSNETS 2022
- Himanshu Gandhi, Misha Mehra, Vinay J. Ribeiro, BOND: Efficient and Frugal DL Model Co-design for Botnet detection on IoT Gateways, AIML Systems 2021
- Misha Mehra, Jay N. Paranjape, Vinay J. Ribeiro, Improving ML Detection of IoT Botnets using Comprehensive Data and Feature Sets, COMSNETS 2021
- Samuel Wedaj, Kolin Paul, Vinay J. Ribeiro, DADS: Decentralized Attestation of Device Swarms, ACM Transaction on Privacy and Security, Vol. 22, No. 3, Article no. 19, July 2019
- Sourav Das, Samuel Wedaj, Kolin Paul, Umesh Bellur, Vinay Joseph Ribeiro, Airmed: Efficient Self-Healing Network of Low-End Devices, pre-print https://arxiv.org/abs/2004.12442
