Published January 10, 2020 | Version v4
Other Open

Domain-Based Fuzzing for Supervised Learning of Anomaly Detection in Cyber-Physical Systems (Appendix)

Description

Appendix for Domain-Based Fuzzing for Supervised Learning of Anomaly Detection in Cyber-Physical Systems - ICSE EnCyCriS 2020 Workshop Paper

Notes

This work is supported by the National Research Foundation, Singapore under its National Satellite of Excellence in Design Science and Technology for Secure Critical Infrastructure programme (NSoE DeST-SCI) (Award No. NRF2018NCR-NSOE005-0001).

Files

[APPENDIX] Domain-Based Fuzzing for Supervised Learning of Anomaly Detection in CPS.pdf

Files (1.3 MB)

Name Size Download all
md5:c1916ce40621ad98e2a8d6e9424a7ba3
440.8 kB Preview Download
md5:ab32ac6df966f1ceea05b57902bec472
418.1 kB Preview Download
md5:fb19d44c51016a062137621840ed66e9
80.8 kB Preview Download
md5:e2ce49b7bcfb641eb39b819ac902f952
407.0 kB Preview Download