2020 IEEE CyberPELS (CyberPELS) 2020
DOI: 10.1109/cyberpels49534.2020.9311539
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An Active Detection Scheme for Cyber Attacks on Grid-tied PV Systems

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Cited by 18 publications
(5 citation statements)
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“…Huang et al [11] have presented the first demonstration by simulation of active defense of a 4-bus microgrid testbed against cyberattacks. Ramos-Ruiz et al [12] introduced an active defense mechanism to protect grid-tied photovoltaic systems. They have investigated the effectiveness of the dynamic watermarking approach employed in a single node on the distribution system to mitigate the negative impact of attacks on the sensors measuring the grid current.…”
Section: Related Workmentioning
confidence: 99%
“…Huang et al [11] have presented the first demonstration by simulation of active defense of a 4-bus microgrid testbed against cyberattacks. Ramos-Ruiz et al [12] introduced an active defense mechanism to protect grid-tied photovoltaic systems. They have investigated the effectiveness of the dynamic watermarking approach employed in a single node on the distribution system to mitigate the negative impact of attacks on the sensors measuring the grid current.…”
Section: Related Workmentioning
confidence: 99%
“…In 2020, paper [35] introduced an active detection scheme based on the dynamic watermarking technique [36] [37] for cyberattacks in grid-tied PV systems. Further, in 2021 the dynamic watermarking technique was applied to detect the problem of attacks on sensor measurements, which forms a "robust cyber shield" named for grid-connected PV inverter system [38].…”
Section: ) Watermarking Techniquementioning
confidence: 99%
“…Software-defined networking (SDN) technology, where network operators flexibly manage the network, has been applied to a configurable network and access control with the goal of mitigating cyber-attacks, such as DoS attacks [101], [102]. Moreover, real-time network intrusion detection methods for PV inverters/systems have been widely studied to detect the forged in-transit-data, which includes: 1) Signature/rule-based network intrusion detection using tools such as Snort [103] and Suricata [107] (e.g., detecting irregular network packet format, reply, and message authentication); 2) Behavior-based machine learning [103], and signal processing methods (e.g., watermarking [104] and perturbation-based diagnostics [105]).…”
Section: Network and Firmware Security Detection And Mitigation Metho...mentioning
confidence: 99%