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The objective of the research work is to thoroughly study existing methodologies for detecting passive image tampering using deep learning techni ques. Here, survey is conducted predominantly focusing on tampering detection using deep learning techniques. Different image tampering datasets such as MICC, CAS IA, and UCID, etc. have been used by exis...
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This paper proposes a practical physical tampering detection mechanism using inexpensive commercial off-the-shelf (COTS) Wi-Fi endpoint devices with a deep neural network (DNN) on channel state information (CSI) in the Wi-Fi signals. Attributed to the DNN that identifies physical tampering events due to the multi-subcarrier characteristics in CSI,...