Visible to the public Malware Detection for Secure Microgrids: CoSSMic Case Study

TitleMalware Detection for Secure Microgrids: CoSSMic Case Study
Publication TypeConference Paper
Year of Publication2017
AuthorsFicco, M., Venticinque, S., Rak, M.
Conference Name2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)
ISBN Number978-1-5386-3066-2
Keywordscompositionality, CoSSMic project, cyber vulnerabilities, cybersecurity, distributed power generation, electric microgrids, energy infrastructure, Human Behavior, invasive software, Malware, malware detection, Metrics, microgrid, microgrid ecosystem, Microgrids, Monitoring, performance evaluation, power engineering computing, power system security, Protocols, pubcrawl, Resiliency, sandbox, security, security threats, security vulnerability, smart-devices, SmartGrid, vulnerability detection
Abstract

Information and communication technologies are extensively used to monitor and control electric microgrids. Although, such innovation enhance self healing, resilience, and efficiency of the energy infrastructure, it brings emerging security threats to be a critical challenge. In the context of microgrid, the cyber vulnerabilities may be exploited by malicious users for manipulate system parameters, meter measurements and price information. In particular, malware may be used to acquire direct access to monitor and control devices in order to destabilize the microgrid ecosystem. In this paper, we exploit a sandbox to analyze security vulnerability to malware of involved embedded smart-devices, by monitoring at different abstraction levels potential malicious behaviors. In this direction, the CoSSMic project represents a relevant case study.

URLhttps://ieeexplore.ieee.org/document/8276774
DOI10.1109/iThings-GreenCom-CPSCom-SmartData.2017.56
Citation Keyficco_malware_2017