{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T01:48:49Z","timestamp":1790646529546,"version":"4.1.0"},"publisher-location":"New York, NY, USA","reference-count":51,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,11,16]],"date-time":"2020-11-16T00:00:00Z","timestamp":1605484800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Science and Technology Innovation 2030 program","award":["2018AAA0101605"],"award-info":[{"award-number":["2018AAA0101605"]}]},{"name":"SUTD-ZJU IDEA","award":["201805"],"award-info":[{"award-number":["201805"]}]},{"name":"the National Natural Science Foundation of China","award":["61833015"],"award-info":[{"award-number":["61833015"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,11,16]]},"DOI":"10.1145\/3384419.3430775","type":"proceedings-article","created":{"date-parts":[[2020,11,25]],"date-time":"2020-11-25T02:08:48Z","timestamp":1606270128000},"page":"285-297","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":23,"title":["Detecting replay attacks against industrial robots via power fingerprinting"],"prefix":"10.1145","author":[{"given":"Hongyi","family":"Pu","sequence":"first","affiliation":[{"name":"Zhejiang University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liang","family":"He","sequence":"additional","affiliation":[{"name":"University of Colorado Denver"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chengcheng","family":"Zhao","sequence":"additional","affiliation":[{"name":"Zhejiang University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David K. Y.","family":"Yau","sequence":"additional","affiliation":[{"name":"Singapore University of Technology and Design"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Cheng","sequence":"additional","affiliation":[{"name":"Zhejiang University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiming","family":"Chen","sequence":"additional","affiliation":[{"name":"Zhejiang University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,11,16]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Ros anomaly detector package. https:\/\/github.com\/narayave\/mh5_anomaly_detector.  Ros anomaly detector package. https:\/\/github.com\/narayave\/mh5_anomaly_detector."},{"key":"e_1_3_2_1_2_1","volume-title":"Exploiting industrial collaborative robots. https:\/\/ioactive.com\/exploiting-industrial-collaborative-robots\/","author":"Apa Lucas","year":"2017","unstructured":"Lucas Apa . Exploiting industrial collaborative robots. https:\/\/ioactive.com\/exploiting-industrial-collaborative-robots\/ , 2017 . Lucas Apa. Exploiting industrial collaborative robots. https:\/\/ioactive.com\/exploiting-industrial-collaborative-robots\/, 2017."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.5555\/151741"},{"key":"e_1_3_2_1_4_1","first-page":"1181","volume-title":"USENIX Security Symposium","author":"Bayens Christian","year":"2017","unstructured":"Christian Bayens , Tuan Le , Luis Garcia , Raheem Beyah , Mehdi Javanmard , and Saman Zonouz . See no evil, hear no evil, feel no evil, print no evil? malicious fill patterns detection in additive manufacturing . In USENIX Security Symposium , pages 1181 -- 1198 , 2017 . Christian Bayens, Tuan Le, Luis Garcia, Raheem Beyah, Mehdi Javanmard, and Saman Zonouz. See no evil, hear no evil, feel no evil, print no evil? malicious fill patterns detection in additive manufacturing. In USENIX Security Symposium, pages 1181--1198, 2017."},{"key":"e_1_3_2_1_5_1","volume-title":"Pattern recognition and machine learning. springer","author":"Bishop Christopher M","year":"2006","unstructured":"Christopher M Bishop . Pattern recognition and machine learning. springer , 2006 . Christopher M Bishop. Pattern recognition and machine learning. springer, 2006."},{"key":"e_1_3_2_1_6_1","volume-title":"Friction change detection in industrial robot arms","author":"Bittencourt Andr\u00e9 Carvalho","year":"2007","unstructured":"Andr\u00e9 Carvalho Bittencourt . Friction change detection in industrial robot arms , 2007 . Andr\u00e9 Carvalho Bittencourt. Friction change detection in industrial robot arms, 2007."},{"key":"e_1_3_2_1_7_1","volume-title":"Analysis of the cyber attack on the ukrainian power grid","author":"Case Defense Use","year":"2016","unstructured":"Defense Use Case . Analysis of the cyber attack on the ukrainian power grid . Electricity Information Sharing and Analysis Center , 2016 . Defense Use Case. Analysis of the cyber attack on the ukrainian power grid. Electricity Information Sharing and Analysis Center, 2016."},{"key":"e_1_3_2_1_8_1","volume-title":"IOActive Website","author":"Cerrudo Cesar","year":"2017","unstructured":"Cesar Cerrudo and Lucas Apa . Hacking robots before skynet . IOActive Website , 2017 . Cesar Cerrudo and Lucas Apa. Hacking robots before skynet. IOActive Website, 2017."},{"key":"e_1_3_2_1_9_1","volume-title":"Hacking robots before skynet: Technical appendix. Technical report, https:\/\/ioactive.com\/pdfs\/Hacking-Robots-Before-Skynet-Technical-Appendix.pdf","author":"Cerrudo Cesar","year":"2017","unstructured":"Cesar Cerrudo and Lucas Apa . Hacking robots before skynet: Technical appendix. Technical report, https:\/\/ioactive.com\/pdfs\/Hacking-Robots-Before-Skynet-Technical-Appendix.pdf , 2017 . Cesar Cerrudo and Lucas Apa. Hacking robots before skynet: Technical appendix. Technical report, https:\/\/ioactive.com\/pdfs\/Hacking-Robots-Before-Skynet-Technical-Appendix.pdf, 2017."},{"issue":"1","key":"e_1_3_2_1_10_1","first-page":"1","article-title":"Real time remote monitoring and anomaly detection in industrial robots based on vibration signals, enabling large scale deployment of condition based maintenance","volume":"2","author":"Chattopadhyay Rita","year":"2017","unstructured":"Rita Chattopadhyay , Mruthunjaya (Jay) Chetty , Eric XiaozhongJi , Stephanie Cope , and Jeffrey E Davis . Real time remote monitoring and anomaly detection in industrial robots based on vibration signals, enabling large scale deployment of condition based maintenance . International Journal of Nanotechnology & Nanomedicine , 2 ( 1 ): 1 -- 4 , 2017 . Rita Chattopadhyay, Mruthunjaya (Jay) Chetty, Eric XiaozhongJi, Stephanie Cope, and Jeffrey E Davis. Real time remote monitoring and anomaly detection in industrial robots based on vibration signals, enabling large scale deployment of condition based maintenance. International Journal of Nanotechnology & Nanomedicine, 2(1):1--4, 2017.","journal-title":"International Journal of Nanotechnology & Nanomedicine"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13040-017-0155-3"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2014.01.088"},{"key":"e_1_3_2_1_13_1","first-page":"337","volume-title":"International Symposium on Research in Attacks, Intrusions and Defenses (RAID)","author":"Chung Keywhan","year":"2019","unstructured":"Keywhan Chung , Xiao Li , Peicheng Tang , Zeran Zhu , Zbigniew T Kalbarczyk , Ravishankar K Iyer , and Thenkurussi Kesavadas . Smart malware that uses leaked control data of robotic applications: The case of raven-ii surgical robots . In International Symposium on Research in Attacks, Intrusions and Defenses (RAID) , pages 337 -- 351 , 2019 . Keywhan Chung, Xiao Li, Peicheng Tang, Zeran Zhu, Zbigniew T Kalbarczyk, Ravishankar K Iyer, and Thenkurussi Kesavadas. Smart malware that uses leaked control data of robotic applications: The case of raven-ii surgical robots. In International Symposium on Research in Attacks, Intrusions and Defenses (RAID), pages 337--351, 2019."},{"key":"e_1_3_2_1_14_1","volume-title":"HealthTech","author":"Clark Shane S","year":"2013","unstructured":"Shane S Clark , Benjamin Ransford , Amir Rahmati , Shane Guineau , Jacob Sorber , Wenyuan Xu , and Kevin Fu. Wattsupdoc : Power side channels to nonintrusively discover untargeted malware on embedded medical devices . In HealthTech , 2013 . Shane S Clark, Benjamin Ransford, Amir Rahmati, Shane Guineau, Jacob Sorber, Wenyuan Xu, and Kevin Fu. Wattsupdoc: Power side channels to nonintrusively discover untargeted malware on embedded medical devices. In HealthTech, 2013."},{"key":"e_1_3_2_1_15_1","volume-title":"Ransomware targets manufacturing industry: A cybersecurity report. https:\/\/gomindsight.com\/insights\/blog\/ransomware-targets-manufacturing-industry-cybersecurity-report\/","author":"Climer Siobhan","year":"2019","unstructured":"Siobhan Climer and Mishaal Khan . Ransomware targets manufacturing industry: A cybersecurity report. https:\/\/gomindsight.com\/insights\/blog\/ransomware-targets-manufacturing-industry-cybersecurity-report\/ , 2019 . Siobhan Climer and Mishaal Khan. Ransomware targets manufacturing industry: A cybersecurity report. https:\/\/gomindsight.com\/insights\/blog\/ransomware-targets-manufacturing-industry-cybersecurity-report\/, 2019."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.5555\/1985581.1985585"},{"issue":"6","key":"e_1_3_2_1_17_1","first-page":"29","article-title":"stuxnet dossier. White paper, Symantec Corp","volume":"5","author":"Falliere Nicolas","year":"2011","unstructured":"Nicolas Falliere , Liam O Murchu , and Eric Chien . W32 . stuxnet dossier. White paper, Symantec Corp ., Security Response , 5 ( 6 ): 29 , 2011 . Nicolas Falliere, Liam O Murchu, and Eric Chien. W32. stuxnet dossier. White paper, Symantec Corp., Security Response, 5(6):29, 2011.","journal-title":"Security Response"},{"key":"e_1_3_2_1_18_1","unstructured":"FANUC. Introduction of robots for the electrical and electronic industry. https:\/\/www.fanuc.co.jp\/en\/product\/robot\/application\/elec\/index.html.  FANUC. Introduction of robots for the electrical and electronic industry. https:\/\/www.fanuc.co.jp\/en\/product\/robot\/application\/elec\/index.html."},{"key":"e_1_3_2_1_19_1","volume-title":"Basic econometrics","author":"Gujarati Damodar N","year":"2009","unstructured":"Damodar N Gujarati . Basic econometrics . Tata McGraw-Hill Education , 2009 . Damodar N Gujarati. Basic econometrics. Tata McGraw-Hill Education, 2009."},{"key":"e_1_3_2_1_20_1","first-page":"152","volume-title":"International Conference on Mobile Computing and Networking","author":"Hamilton Benjamin R","year":"2008","unstructured":"Benjamin R Hamilton , Xiaoli Ma , Qi Zhao , and Jun Xu. Aces : adaptive clock estimation and synchronization using kalman filtering . In International Conference on Mobile Computing and Networking , pages 152 -- 162 . ACM, 2008 . Benjamin R Hamilton, Xiaoli Ma, Qi Zhao, and Jun Xu. Aces: adaptive clock estimation and synchronization using kalman filtering. In International Conference on Mobile Computing and Networking, pages 152--162. ACM, 2008."},{"key":"e_1_3_2_1_21_1","volume-title":"Robots double worldwide by","author":"Heer Carsten","year":"2020","unstructured":"Carsten Heer . Robots double worldwide by 2020 . https:\/\/ifr.org\/ifr-press-releases\/news\/robots-double-worldwide-by-2020, 2018. Carsten Heer. Robots double worldwide by 2020. https:\/\/ifr.org\/ifr-press-releases\/news\/robots-double-worldwide-by-2020, 2018."},{"key":"e_1_3_2_1_22_1","volume-title":"The uncertainty in a current meter measurement. Flow Measurement and Instrumentation, 13(5--6):281--284","author":"Herschy RW","year":"2002","unstructured":"RW Herschy . The uncertainty in a current meter measurement. Flow Measurement and Instrumentation, 13(5--6):281--284 , 2002 . RW Herschy. The uncertainty in a current meter measurement. Flow Measurement and Instrumentation, 13(5--6):281--284, 2002."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2014.6943078"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.17487\/RFC2401"},{"key":"e_1_3_2_1_25_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 , 2014 . Diederik P Kingma and Jimmy Ba. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980, 2014."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04342-0_13"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978299"},{"key":"e_1_3_2_1_28_1","volume-title":"Remote monitoring and control of industrial robot based on android device and wi-fi communication. Automatika: \u010dasopis za automatiku, mjerenje, elektroniku, ra\u010dunarstvo i komunikacije, 56(3):281--291","author":"Banduka Maja Lutovac","year":"2015","unstructured":"Maja Lutovac Banduka . Remote monitoring and control of industrial robot based on android device and wi-fi communication. Automatika: \u010dasopis za automatiku, mjerenje, elektroniku, ra\u010dunarstvo i komunikacije, 56(3):281--291 , 2015 . Maja Lutovac Banduka. Remote monitoring and control of industrial robot based on android device and wi-fi communication. Automatika: \u010dasopis za automatiku, mjerenje, elektroniku, ra\u010dunarstvo i komunikacije, 56(3):281--291, 2015."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2004.1302507"},{"key":"e_1_3_2_1_30_1","volume-title":"Introduction to statistical quality control","author":"Montgomery Douglas C","year":"2007","unstructured":"Douglas C Montgomery . Introduction to statistical quality control . John Wiley & Sons , 2007 . Douglas C Montgomery. Introduction to statistical quality control. John Wiley & Sons, 2007."},{"key":"e_1_3_2_1_31_1","volume-title":"Power consumption-based detection of sabotage attacks in additive manufacturing. arXiv preprint arXiv:1709.01822","author":"Moore Samuel B","year":"2017","unstructured":"Samuel B Moore , Jacob Gatlin , Sofia Belikovetsky , Mark Yampolskiy , Wayne E King , and Yuval Elovici . Power consumption-based detection of sabotage attacks in additive manufacturing. arXiv preprint arXiv:1709.01822 , 2017 . Samuel B Moore, Jacob Gatlin, Sofia Belikovetsky, Mark Yampolskiy, Wayne E King, and Yuval Elovici. Power consumption-based detection of sabotage attacks in additive manufacturing. arXiv preprint arXiv:1709.01822, 2017."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-04283-1_18"},{"key":"e_1_3_2_1_33_1","first-page":"1017","volume-title":"Winter Conference on Applications of Computer Vision (WACV)","author":"Munawar Asim","year":"2017","unstructured":"Asim Munawar , Phongtharin Vinayavekhin , and Giovanni De Magistris . Spatiotemporal anomaly detection for industrial robots through prediction in unsupervised feature space . In Winter Conference on Applications of Computer Vision (WACV) , pages 1017 -- 1025 . IEEE, 2017 . Asim Munawar, Phongtharin Vinayavekhin, and Giovanni De Magistris. Spatiotemporal anomaly detection for industrial robots through prediction in unsupervised feature space. In Winter Conference on Applications of Computer Vision (WACV), pages 1017--1025. IEEE, 2017."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3264888.3264894"},{"key":"e_1_3_2_1_35_1","volume-title":"Top 6 future trends in robotic automation. https:\/\/www.robotics.org\/blog-article.cfm\/Top-6-Future-Trends-in-Robotic-Automation\/101","author":"Online Robotics","year":"2018","unstructured":"Robotics Online . Top 6 future trends in robotic automation. https:\/\/www.robotics.org\/blog-article.cfm\/Top-6-Future-Trends-in-Robotic-Automation\/101 , 2018 . Robotics Online. Top 6 future trends in robotic automation. https:\/\/www.robotics.org\/blog-article.cfm\/Top-6-Future-Trends-in-Robotic-Automation\/101, 2018."},{"key":"e_1_3_2_1_36_1","first-page":"1","volume-title":"Security of controlled manufacturing systems in the connected factory: the case of industrial robots","author":"Pogliani Marcello","year":"2019","unstructured":"Marcello Pogliani , Davide Quarta , Mario Polino , Martino Vittone , Federico Maggi , and Stefano Zanero . Security of controlled manufacturing systems in the connected factory: the case of industrial robots . Springer Journal of Computer Virology and Hacking Techniques , pages 1 -- 15 , 2019 . Marcello Pogliani, Davide Quarta, Mario Polino, Martino Vittone, Federico Maggi, and Stefano Zanero. Security of controlled manufacturing systems in the connected factory: the case of industrial robots. Springer Journal of Computer Virology and Hacking Techniques, pages 1--15, 2019."},{"key":"e_1_3_2_1_37_1","volume-title":"Industrial robots: Robot investment reaches record 16.5 billion usd. https:\/\/ifr.org\/ifr-press-releases\/news\/robot-investment-reaches-record-16.5-billion-usd","author":"Press IFR","year":"2019","unstructured":"IFR Press . Industrial robots: Robot investment reaches record 16.5 billion usd. https:\/\/ifr.org\/ifr-press-releases\/news\/robot-investment-reaches-record-16.5-billion-usd , 2019 . IFR Press. Industrial robots: Robot investment reaches record 16.5 billion usd. https:\/\/ifr.org\/ifr-press-releases\/news\/robot-investment-reaches-record-16.5-billion-usd, 2019."},{"key":"e_1_3_2_1_38_1","unstructured":"Hongyi Pu. Demo: Mounting replay attacks on industrial robots. https:\/\/youtu.be\/HAeHg34146M.  Hongyi Pu. Demo: Mounting replay attacks on industrial robots. https:\/\/youtu.be\/HAeHg34146M."},{"key":"e_1_3_2_1_39_1","volume-title":"Andrea Maria Zanchettin, and Stefano Zanero. Breaking the laws of robotics attacking industrial robots. https:\/\/www.blackhat.com\/us-17\/briefings\/schedule","author":"Quarta Davide","year":"2017","unstructured":"Davide Quarta , Marcello Pogliani , Mario Polino , Federico Maggi , Andrea Maria Zanchettin, and Stefano Zanero. Breaking the laws of robotics attacking industrial robots. https:\/\/www.blackhat.com\/us-17\/briefings\/schedule , 2017 . Davide Quarta, Marcello Pogliani, Mario Polino, Federico Maggi, Andrea Maria Zanchettin, and Stefano Zanero. Breaking the laws of robotics attacking industrial robots. https:\/\/www.blackhat.com\/us-17\/briefings\/schedule, 2017."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.20"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2931511"},{"key":"e_1_3_2_1_42_1","volume-title":"Control, Applications","author":"Saeed BN","year":"2010","unstructured":"BN Saeed . Introduction to Robotics: Analysis , Control, Applications . John Wiley & Sons , 2010 . BN Saeed. Introduction to Robotics: Analysis, Control, Applications. John Wiley & Sons, 2010."},{"key":"e_1_3_2_1_43_1","article-title":"Observations on developing reliability information utilization in a manufacturing environment with case study: robotic arm manipulators","author":"Sharp Michael","year":"2019","unstructured":"Michael Sharp . Observations on developing reliability information utilization in a manufacturing environment with case study: robotic arm manipulators . The International Journal of Advanced Manufacturing Technology, 102(9--12):3243--3264 , 2019 . Michael Sharp. Observations on developing reliability information utilization in a manufacturing environment with case study: robotic arm manipulators. The International Journal of Advanced Manufacturing Technology, 102(9--12):3243--3264, 2019.","journal-title":"The International Journal of Advanced Manufacturing Technology, 102(9--12):3243--3264"},{"key":"e_1_3_2_1_44_1","volume-title":"Ransomware attacks hit manufacturing - are you vulnerable? https:\/\/www.industryweek.com\/technology-and-iiot\/article\/22027363\/ransomware-attacks-hit-manufacturing-are-you-vulnerable","author":"Shohet Yoni","year":"2019","unstructured":"Yoni Shohet . Ransomware attacks hit manufacturing - are you vulnerable? https:\/\/www.industryweek.com\/technology-and-iiot\/article\/22027363\/ransomware-attacks-hit-manufacturing-are-you-vulnerable , 2019 . Yoni Shohet. Ransomware attacks hit manufacturing - are you vulnerable? https:\/\/www.industryweek.com\/technology-and-iiot\/article\/22027363\/ransomware-attacks-hit-manufacturing-are-you-vulnerable, 2019."},{"key":"e_1_3_2_1_45_1","volume-title":"Robotics: modelling, planning and control","author":"Siciliano Bruno","year":"2010","unstructured":"Bruno Siciliano , Lorenzo Sciavicco , Luigi Villani , and Giuseppe Oriolo . Robotics: modelling, planning and control . Springer Science & Business Media , 2010 . Bruno Siciliano, Lorenzo Sciavicco, Luigi Villani, and Giuseppe Oriolo. Robotics: modelling, planning and control. Springer Science & Business Media, 2010."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.5555\/2206293"},{"key":"e_1_3_2_1_47_1","unstructured":"Genesis Systems. Robots in automotive manufacturing: Top 6 applications. https:\/\/www.genesis-systems.com\/blog\/robots-automotive-manufacturing-top-6-applications.  Genesis Systems. Robots in automotive manufacturing: Top 6 applications. https:\/\/www.genesis-systems.com\/blog\/robots-automotive-manufacturing-top-6-applications."},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/AIM.2018.8452245"},{"key":"e_1_3_2_1_49_1","volume-title":"Robotics engineering: 10 trends shaping the industrial robotics for","year":"2019","unstructured":"Technavio. Robotics engineering: 10 trends shaping the industrial robotics for 2019 . https:\/\/blog.technavio.com\/blog\/robotics-engineering-trends-shaping-industrial-robotics, 2018. Technavio. Robotics engineering: 10 trends shaping the industrial robotics for 2019. https:\/\/blog.technavio.com\/blog\/robotics-engineering-trends-shaping-industrial-robotics, 2018."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978388"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12555-012-0022-4"}],"event":{"name":"SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems","location":"Virtual Event Japan","acronym":"SenSys '20","sponsor":["SIGMETRICS ACM Special Interest Group on Measurement and Evaluation","SIGCOMM ACM Special Interest Group on Data Communication","SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing","SIGOPS ACM Special Interest Group on Operating Systems","SIGBED ACM Special Interest Group on Embedded Systems","SIGARCH ACM Special Interest Group on Computer Architecture"]},"container-title":["Proceedings of the 18th Conference on Embedded Networked Sensor Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3384419.3430775","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3384419.3430775","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:02:36Z","timestamp":1750197756000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3384419.3430775"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,16]]},"references-count":51,"alternative-id":["10.1145\/3384419.3430775","10.1145\/3384419"],"URL":"https:\/\/doi.org\/10.1145\/3384419.3430775","relation":{},"subject":[],"published":{"date-parts":[[2020,11,16]]},"assertion":[{"value":"2020-11-16","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}