A DWT-Based Blind Robust High Capacity and Secure Digital Watermarking and Information Hiding Scheme for Image Authentication, Tampering Localization and Automatic Self-Recovery

Chaughule, Swapnil S.; Megherbi, Dalila B.

doi:10.1109/civemsa52099.2021.9493672

Cited by 3 publications

(1 citation statement)

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“…Although the literature has addressed a variety of physical attacks, a constant concern is the difficulty of detecting and preventing these attacks in real time. Current systems are primarily designed to protect against cyberthreats, leaving a significant gap in protection against direct physical threats [26]. This gap represents an opportunity and a need to develop robust systems and algorithms to detect and respond to these physical threats in real time.…”

Section: Review Of Similar Workmentioning

confidence: 99%

Tamper Detection in Industrial Sensors: An Approach Based on Anomaly Detection

Villegas-Ch,

Govea,

Jaramillo-Alcazar

2023

Sensors

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The Industrial Revolution 4.0 has catapulted the integration of advanced technologies in industrial operations, where interconnected systems rely heavily on sensor information. However, this dependency has revealed an essential vulnerability: Sabotaging these sensors can lead to costly and dangerous interruptions in the production chain. To address this threat, we introduce an innovative methodological approach focused on developing an anomaly detection algorithm specifically designed to track manipulations in industrial sensors. Through a series of meticulous tests in an industrial environment, we validate the robustness and accuracy of our proposal. What distinguishes this study is its unique adaptability to various sensor conditions, achieving high detection accuracy and prompt response. Our algorithm demonstrates superiority in accuracy and sensitivity compared to previously established methodologies. Beyond detection, we incorporate a proactive alert and response system, guaranteeing timely action against detected anomalies. This work offers a tangible solution to a growing challenge. It lays the foundation for strengthening security in industrial systems of the digital age, harmonizing efficiency with protection in the Industry 4.0 landscape.

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Section: Review Of Similar Workmentioning

confidence: 99%