Cyberattack Analysis on Smart Home Iot Devices in the Smart Grid Environment Using Gridattackanalyzer

作     者：Darteh, Oscar Famous Liu, Qi Bah, Ibrahima Amoah, Lord Acakpovi, Amevi Liu, Xiaodong 

作者机构：School of Electronic and Information Engineering Nanjing University of Information Science and Technology No.219 Ningliu Road Jiangsu 210044 China Wuxi University No.333 Xishan Road Jiangsu 214106 China School of Mathematics and Computer Science Zhejiang Normal University Jinhua China School of Computer and Software Nanjing University of Information Science & Technology Nanjing210044 China Dept. of Electrical and Electronic Engineering Accra Technical University P.O.Box GP561 Barnes Road Accra Ghana School of Computing Edinburgh Napier University 10 Colinton Road EdinburghEH10 5DT United Kingdom 

出 版 物：《SSRN》 

年 卷 期：2023年

核心收录：

主　　题：Regression analysis 

摘      要：As the deployment of smart home IoT devices and smart grid infrastructure grows, the threat of cyberattacks has become a pressing concern. The common vulnerability exposure (CVE) of smart grid infrastructure presents a prime opportunity for attackers to launch cyberattacks, often exploiting the vulnerabilities of medium and vulnerable smart home IoT devices. This paper presents a comprehensive analysis of cyberattacks launched on the smart grid through vulnerable IoT devices, using key security metrics to evaluate the attacks success probability and path analysis. Our main contribution is decreasing the attack success probability, risk, and cost to attackers while increasing the unlikelihood and rarity of attack paths. To achieve this, we created four case study models using the GridAttackAnalyzer on the Feeder R4-12.47-2 of the Pacific Northwest National Laboratory (PNNL). Additionally, we developed a fifth model that deploys patching of CVEs for the previous case studies. Our analysis revealed that our models are the first of their kind created using the GridAttackAnalyzer, and the patch model has successfully achieved the aim of reducing the attack success probability and risk to the smart grid system. The findings of this study can inform the development of effective cyber defense strategies for smart home IoT devices and smart grid infrastructure. © 2023, The Authors. All rights reserved.