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Security and privacy issues of physical objects in the IoT: Challenges and opportunities.

, , , , , and . Digit. Commun. Networks, 7 (3): 373-384 (2021)

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Security and privacy issues of physical objects in the IoT: Challenges and opportunities., , , , , and . Digit. Commun. Networks, 7 (3): 373-384 (2021)Human Activity Recognition using Recurrent Neural Networks., , , , , , and . CoRR, (2018)Privacy Risk Awareness in Wearables and the Internet of Things., , , and . IEEE Pervasive Comput., 19 (3): 60-66 (2020)A Privacy Aware Architecture for IoT Enabled Systems., , , and . SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, page 178-183. IEEE, (2019)Challenges in assessing privacy impact: Tales from the front lines., , , , , and . Secur. Priv., (2020)ExMo: Explainable AI Model Using Inverse Frequency Decision Rules., , and . HCI (35), volume 13336 of Lecture Notes in Computer Science, page 179-198. Springer, (2022)Users' Privacy Concerns in IoT Based Applications., , , , , and . SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, page 1887-1894. IEEE, (2018)Users' Perceptions and Attitudes Towards Smart Home Technologies., , , , and . ICOST, volume 10898 of Lecture Notes in Computer Science, page 203-214. Springer, (2018)Human Activity Recognition Using Recurrent Neural Networks., , , , , , and . CD-MAKE, volume 10410 of Lecture Notes in Computer Science, page 267-274. Springer, (2017)Explainable Machine Learning for Fraud Detection., , , , , and . CoRR, (2021)