{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T15:39:39Z","timestamp":1778168379571,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,1,15]],"date-time":"2018-01-15T00:00:00Z","timestamp":1515974400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,1,15]]},"DOI":"10.1145\/3267357.3267363","type":"proceedings-article","created":{"date-parts":[[2018,10,16]],"date-time":"2018-10-16T13:23:10Z","timestamp":1539696190000},"page":"2-11","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Deriving Privacy and Security Considerations for CORE"],"prefix":"10.1145","author":[{"given":"Alexis","family":"Morris","sequence":"first","affiliation":[{"name":"OCAD University, Toronto, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nadine","family":"Lessio","sequence":"additional","affiliation":[{"name":"OCAD University, Toronto, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,1,15]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2004.1261101"},{"key":"e_1_3_2_1_2_1","volume-title":"Handheld and ubiquitous computing","author":"Abowd Gregory D","unstructured":"Gregory D Abowd , Anind K Dey , Peter J Brown , Nigel Davies , Mark Smith , and Pete Steggles . 1999. Towards a better understanding of context and contextawareness . In Handheld and ubiquitous computing . Springer , 304--307. Gregory D Abowd, Anind K Dey, Peter J Brown, Nigel Davies, Mark Smith, and Pete Steggles. 1999. Towards a better understanding of context and contextawareness. In Handheld and ubiquitous computing. Springer, 304--307."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.3390\/s18030817"},{"key":"e_1_3_2_1_4_1","volume-title":"Retrieved","year":"2018","unstructured":"Amazon.com. 2018 . Alexa Skills Kit - Build for Voice with Amazon . Retrieved July 17, 2018 from https:\/\/developer.amazon.com\/alexa-skills-kit Amazon.com. 2018. Alexa Skills Kit - Build for Voice with Amazon. Retrieved July 17, 2018 from https:\/\/developer.amazon.com\/alexa-skills-kit"},{"key":"e_1_3_2_1_5_1","volume-title":"Retrieved","year":"2018","unstructured":"Amazon.com. 2018 . Echo and Alexa - Amazon Devices . Retrieved July 17, 2018 from https:\/\/www.amazon.com\/Amazon-Echo-And-Alexa-Devices\/b?ie=UTF8& node=9818047011 Amazon.com. 2018. Echo and Alexa - Amazon Devices. Retrieved July 17, 2018 from https:\/\/www.amazon.com\/Amazon-Echo-And-Alexa-Devices\/b?ie=UTF8& node=9818047011"},{"key":"e_1_3_2_1_6_1","volume-title":"Retrieved","year":"2018","unstructured":"Apache.org. 2018 . The Apache HTTP Server Project . Retrieved July 17, 2018 from https:\/\/httpd.apache.org Apache.org. 2018. The Apache HTTP Server Project. Retrieved July 17, 2018 from https:\/\/httpd.apache.org"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2010.05.010"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2016.12.004"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2399016.2399044"},{"key":"e_1_3_2_1_11_1","volume-title":"Retrieved","year":"2018","unstructured":"Flask.pocoo.org. 2018 . Flask-a Python Microframework . Retrieved July 17, 2018 from https:\/\/flask.pocoo.org\/ Flask.pocoo.org. 2018. Flask-a Python Microframework. Retrieved July 17, 2018 from https:\/\/flask.pocoo.org\/"},{"key":"e_1_3_2_1_12_1","volume-title":"Retrieved","year":"2018","unstructured":"Github.com. 2018 . Pose Detection in the Browser: PoseNet Model . Retrieved July 17, 2018 from https:\/\/github.com\/tensorflow\/tfjs-models\/tree\/master\/posenet Github.com. 2018. Pose Detection in the Browser: PoseNet Model. Retrieved July 17, 2018 from https:\/\/github.com\/tensorflow\/tfjs-models\/tree\/master\/posenet"},{"key":"e_1_3_2_1_13_1","volume-title":"Retrieved","year":"2018","unstructured":"Google.com. 2018 . Google Assistant - Your own personal Google . Retrieved July 17, 2018 from https:\/\/assistant.google.com\/intl\/en_ca\/ Google.com. 2018. Google Assistant - Your own personal Google. Retrieved July 17, 2018 from https:\/\/assistant.google.com\/intl\/en_ca\/"},{"key":"e_1_3_2_1_14_1","volume-title":"Retrieved","year":"2018","unstructured":"Google.com. 2018 . Google Cloud Platform . Retrieved July 17, 2018 from https:\/\/cloud.google.com Google.com. 2018. Google Cloud Platform. Retrieved July 17, 2018 from https:\/\/cloud.google.com"},{"key":"e_1_3_2_1_15_1","volume-title":"Retrieved","year":"2018","unstructured":"Google.com. 2018 . Google Home - Smart Speaker and Home Assistant . Retrieved July 17, 2018 from https:\/\/store.google.com\/product\/google_home\/ Google.com. 2018. Google Home - Smart Speaker and Home Assistant. Retrieved July 17, 2018 from https:\/\/store.google.com\/product\/google_home\/"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2013.01.010"},{"key":"e_1_3_2_1_17_1","unstructured":"Dominique Guinard and Vlad Trifa. 2016. Building the Web of Things: With examples in Node. js and Raspberry Pi. (2016).   Dominique Guinard and Vlad Trifa. 2016. Building the Web of Things: With examples in Node. js and Raspberry Pi. (2016)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-55415-5_38"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.10.071"},{"key":"e_1_3_2_1_20_1","volume-title":"Retrieved","year":"2018","unstructured":"Keras.io. 2018 . The Keras Blog. Building a simple Keras + deep learning REST API . Retrieved July 17, 2018 from https:\/\/blog.keras.io\/ building-a-simple-keras-deep-learning-rest-api.html Keras.io. 2018. The Keras Blog. Building a simple Keras + deep learning REST API. Retrieved July 17, 2018 from https:\/\/blog.keras.io\/ building-a-simple-keras-deep-learning-rest-api.html"},{"key":"e_1_3_2_1_21_1","unstructured":"Alex Krizhevsky Ilya Sutskever and Geoffrey E Hinton. 2012. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems. 1097--1105.   Alex Krizhevsky Ilya Sutskever and Geoffrey E Hinton. 2012. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems. 1097--1105."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.5555\/647987.741336"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"e_1_3_2_1_25_1","volume-title":"Retrieved","year":"2018","unstructured":"MQTT.org. 2018 . MQTT . Retrieved July 17, 2018 from https:\/\/mqtt.org\/ MQTT.org. 2018. MQTT. Retrieved July 17, 2018 from https:\/\/mqtt.org\/"},{"key":"e_1_3_2_1_26_1","volume-title":"Retrieved","year":"2018","unstructured":"Ngrok.com. 2018 . Ngrok-Secure Introspectable Tunnels to Localhost . Retrieved July 17, 2018 from https:\/\/ngrok.com\/ Ngrok.com. 2018. Ngrok-Secure Introspectable Tunnels to Localhost. Retrieved July 17, 2018 from https:\/\/ngrok.com\/"},{"key":"e_1_3_2_1_27_1","first-page":"6","article-title":"Towards accurate multi-person pose estimation in the wild","volume":"3","author":"Papandreou George","year":"2017","unstructured":"George Papandreou , Tyler Zhu , Nori Kanazawa , Alexander Toshev , Jonathan Tompson , Chris Bregler , and Kevin Murphy . 2017 . Towards accurate multi-person pose estimation in the wild . In CVPR , Vol. 3. 6 . George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, and Kevin Murphy. 2017. Towards accurate multi-person pose estimation in the wild. In CVPR, Vol. 3. 6.","journal-title":"CVPR"},{"key":"e_1_3_2_1_28_1","volume-title":"Designing Privacy-aware Internet of Things Applications. arXiv preprint arXiv:1703.03892","author":"Perera Charith","year":"2017","unstructured":"Charith Perera , Mahmoud Barhamgi , Arosha K Bandara , Muhammad Ajmal , Blaine Price , and Bashar Nuseibeh . 2017. Designing Privacy-aware Internet of Things Applications. arXiv preprint arXiv:1703.03892 ( 2017 ). Charith Perera, Mahmoud Barhamgi, Arosha K Bandara, Muhammad Ajmal, Blaine Price, and Bashar Nuseibeh. 2017. Designing Privacy-aware Internet of Things Applications. arXiv preprint arXiv:1703.03892 (2017)."},{"key":"e_1_3_2_1_29_1","volume-title":"Retrieved","year":"2018","unstructured":"RaspberryPi.org. 2018 . RaspberryPi - Teach, Learn, and Make with Raspberry Pi . Retrieved July 17, 2018 from https:\/\/www.raspberrypi.org RaspberryPi.org. 2018. RaspberryPi - Teach, Learn, and Make with Raspberry Pi. Retrieved July 17, 2018 from https:\/\/www.raspberrypi.org"},{"key":"e_1_3_2_1_30_1","volume-title":"Retrieved","year":"2018","unstructured":"Redis.io. 2018 . Redis . Retrieved July 17, 2018 from https:\/\/redis.io\/ Redis.io. 2018. Redis. Retrieved July 17, 2018 from https:\/\/redis.io\/"},{"key":"e_1_3_2_1_31_1","volume-title":"YOLO9000: better, faster, stronger. arXiv preprint","author":"Redmon Joseph","year":"2017","unstructured":"Joseph Redmon and Ali Farhadi . 2017. YOLO9000: better, faster, stronger. arXiv preprint ( 2017 ). Joseph Redmon and Ali Farhadi. 2017. YOLO9000: better, faster, stronger. arXiv preprint (2017)."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12394-010-0055-x"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/2470654.2481360"},{"key":"e_1_3_2_1_35_1","volume-title":"Retrieved","year":"2018","unstructured":"TensorFlow.org. 2018 . TensorFlow - An open source machine learning framework for everyone . Retrieved July 17, 2018 from https:\/\/www.tensorflow.org\/ TensorFlow.org. 2018. TensorFlow - An open source machine learning framework for everyone. Retrieved July 17, 2018 from https:\/\/www.tensorflow.org\/"},{"key":"e_1_3_2_1_36_1","volume-title":"Retrieved","year":"2018","unstructured":"Tripwire.com. 2018 . Google's Newest Feature: Find My Home . Retrieved July 17, 2018 from https:\/\/www.tripwire.com\/state-of-security\/vert\/ googles-newest-feature-find-my-home\/ Tripwire.com. 2018. Google's Newest Feature: Find My Home. Retrieved July 17, 2018 from https:\/\/www.tripwire.com\/state-of-security\/vert\/ googles-newest-feature-find-my-home\/"},{"key":"e_1_3_2_1_37_1","volume-title":"Retrieved","year":"2018","unstructured":"Wemo.com. 2018 . Wemo Smart Bridge . Retrieved July 17, 2018 from http: \/\/www.wemo.com Wemo.com. 2018. Wemo Smart Bridge. Retrieved July 17, 2018 from http: \/\/www.wemo.com"},{"key":"e_1_3_2_1_38_1","volume-title":"Francis Li, and Brendan Chwyl.","year":"2018","unstructured":"AlexanderWong , Mohammad Javad Shafiee , Francis Li, and Brendan Chwyl. 2018 . Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object Detection . arXiv preprint arXiv:1802.06488 (2018). AlexanderWong, Mohammad Javad Shafiee, Francis Li, and Brendan Chwyl. 2018. Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object Detection. arXiv preprint arXiv:1802.06488 (2018)."},{"key":"e_1_3_2_1_39_1","volume-title":"Retrieved","author":"Zack Mark","year":"2014","unstructured":"Mark Zack . 2014 . The fundamental components of the Internet of Things . Retrieved July 17, 2018 from https:\/\/www.electronicsworld.co.uk\/news\/advertorials\/ 5022-the-fundamental-components-of-the-internet-of-things Mark Zack. 2014. The fundamental components of the Internet of Things. Retrieved July 17, 2018 from https:\/\/www.electronicsworld.co.uk\/news\/advertorials\/ 5022-the-fundamental-components-of-the-internet-of-things"}],"event":{"name":"CCS '18: 2018 ACM SIGSAC Conference on Computer and Communications Security","location":"Toronto Canada","acronym":"CCS '18","sponsor":["SIGSAC ACM Special Interest Group on Security, Audit, and Control"]},"container-title":["Proceedings of the 2nd International Workshop on Multimedia Privacy and Security"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3267357.3267363","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3267357.3267363","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:57:43Z","timestamp":1750208263000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3267357.3267363"}},"subtitle":["An Indoor IoT Adaptive Context Environment"],"short-title":[],"issued":{"date-parts":[[2018,1,15]]},"references-count":37,"alternative-id":["10.1145\/3267357.3267363","10.1145\/3267357"],"URL":"https:\/\/doi.org\/10.1145\/3267357.3267363","relation":{},"subject":[],"published":{"date-parts":[[2018,1,15]]},"assertion":[{"value":"2018-01-15","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}