Detection of Compromised Smart Grid Devices with Machine Learning and Convolution Techniques

13 April 2018

Papers citing "Detection of Compromised Smart Grid Devices with Machine Learning and Convolution Techniques"

4 / 4 papers shown

Title
Survey on Enterprise Internet-of-Things Systems (E-IoT): A Security Perspective Luis Puche Rondon Leonardo Babun Ahmet Aris Kemal Akkaya A. S. Uluagac 67 58 0 21 Feb 2021
PoisonIvy: (In)secure Practices of Enterprise IoT Systems in Smart Buildings Luis Puche Rondon Leonardo Babun Ahmet Aris Kemal Akkaya A. S. Uluagac 51 15 0 12 Oct 2020
Machine Learning in Generation, Detection, and Mitigation of Cyberattacks in Smart Grid: A Survey Nur Imtiazul Haque Md Hasan Shahriar Md Golam Dastgir A. Debnath Imtiaz Parvez A. Sarwat M. Rahman 43 22 0 01 Sep 2020
A System-level Behavioral Detection Framework for Compromised CPS Devices: Smart-Grid Case Leonardo Babun Hidayet Aksu A. S. Uluagac 50 37 0 02 Dec 2019