PDF] Power Consumption-based Detection of Sabotage Attacks in

This work proposes a novel approach for detecting sabotage attacks in additive Manufacturing, based on continuous monitoring of the current delivered to all actuators during the manufacturing process and detection of deviations from a provable benign process. Additive Manufacturing (AM), a.k.a. 3D Printing, is increasingly used to manufacture functional parts of safety-critical systems. AM's dependence on computerization raises the concern that the AM process can be tampered with, and a part's mechanical properties sabotaged. This can lead to the destruction of a system employing the sabotaged part, causing loss of life, financial damage, and reputation loss. To address this threat, we propose a novel approach for detecting sabotage attacks. Our approach is based on continuous monitoring of the current delivered to all actuators during the manufacturing process and detection of deviations from a provable benign process. The proposed approach has numerous advantages: (i) it is non-invasive in a time-critical process, (ii) it can be retrofitted in legacy systems, and (iii) it is airgapped from the computerized components of the AM process, preventing simultaneous compromise. Evaluation on a desktop 3D Printer detects all attacks involving a modification of X or Y motor movement, with false positives at 0%.

Computers, Free Full-Text

PDF) A Novel Insider Attack and Machine Learning Based Detection for the Internet of Things

Full article: A Dynamic Risk Framework for the Physical Security of Nuclear Power Plants

TECHNICAL WHITE PAPER▷ Symantec Website Security Threat Report

IoT empowered smart cybersecurity framework for intrusion detection in internet of drones

Computer Vision and Deep Learning for Electricity - PyImageSearch

Frontiers Hardware Security in Sensor and its Networks

Computer Vision and Deep Learning for Electricity - PyImageSearch

PDF] Power Consumption-based Detection of Sabotage Attacks in Additive Manufacturing

Cyber Attacks on the Power Grid

Internet Security Threat Report (ISTR) Government

Power Consumption Analysis as a Detection Indicator for Cyberattacks on Smart Home Devices