OpenISS IoT Camera Simulation Environment for Real-time IoT Forensics and Incident Response
- Resource Type
- Conference
- Authors
- Axamitnyy, Rostislav; Aric, Alexander; Mokhov, Serguei A.; Paquet, Joey; Mudur, Sudhir P.
- Source
- 2020 International Symposium on Networks, Computers and Communications (ISNCC) Networks, Computers and Communications (ISNCC), 2020 International Symposium on. :1-8 Oct, 2020
- Subject
- Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
Cameras
Web services
Libraries
Machine learning
Security
Linux
Computer crime
anomaly detection
machine learning
attack traffic
depth cameras
web services
PiNalyzer OpenISS
network forensics
incident response
- Language
Today when the number of computing systems participating in IoT is growing exponentially, the task to keep these systems secure becomes critical. One challenge is regular upgrade of IoT systems firmware to keep them up-to-date with already discovered and exploitable vulnerabilities. The other challenge is to protect the rest of the IoT ecosystem from already infected IoT devices. In this project we developed a network proxy testbed setup to be placed in-between an IoT system and the Internet – called PiNalyzer. PiNalyzer is designed to be trained to classify ingress/egress traffic and take actions to protect both: the IoT system behind it from malicious traffic from the outside; and the the rest of the network from the IoT system itself if it were compromised.