Smart secure homes: a survey of smart home technologies that sense, assess, and respond to security threats
作者： Jessamyn Dahmen , Diane J. Cook , Xiaobo Wang , Wang Honglei
DOI: 10.1007/S40860-017-0035-0
关键词: Field (computer science) 、 Computer security 、 Population 、 Home automation 、 Automation 、 Variety (cybernetics) 、 Activity recognition 、 Computer science 、 Network security 、 Internet privacy 、 Health informatics
摘要: Smart home design has undergone a metamorphosis in recent years. The field evolved from designing theoretical smart frameworks and performing scripted tasks laboratories. Instead, we now find robust technologies that are commonly used by large segments of the population variety settings. Recent applications focused on activity recognition, health monitoring, automation. In this paper, take look at another important role for homes: security. We first explore numerous ways homes can do provide protection their residents. Next, comparative analysis alternative tools research been developed purpose. investigate not only existing commercial products have introduced but also discuss detecting identifying potential threats. Finally, close with open challenges ideas future will keep individuals secure healthy while own homes.
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sci-hub.se 参考文章(121)
Aaron S. Crandall, Diane J. Cook, Behaviometrics for Identifying Smart Home Residents Atlantis Press, Paris. pp. 55- 71 ,(2013) , 10.2991/978-94-6239-018-8_4
Gilles Virone, Fast track article: Assessing everyday life behavioral rhythms for the older generation Pervasive and Mobile Computing. ,vol. 5, pp. 606- 622 ,(2009) , 10.1016/J.PMCJ.2009.06.008
Liming Chen, Ismail Khalil, Activity Recognition: Approaches, Practices and Trends Atlantis Press. pp. 1- 31 ,(2011) , 10.2991/978-94-91216-05-3_1
Rosslin John Robles, Tai-hoon Kim, D Cook, S Das, A Review on Security in Smart Home Development ,(2010)
Jessica Hodgins, Xavier Martin, Adam Bargteil, Fernando De la Torre, Alex Collado, Justin Macey, Pep Beltran, Guide to the Carnegie Mellon University Multimodal Activity (CMU-MMAC) Database ,(2008)
B. K. Hensel, G. Demiris, Technologies for an aging society: a systematic review of "smart home" applications. Yearb Med Inform. ,vol. 17, pp. 33- 40 ,(2008) , 10.1055/S-0038-1638580
Patrice C. Roy, Sylvain Giroux, Bruno Bouchard, Abdenour Bouzouane, Clifton Phua, Andrei Tolstikov, Jit Biswas, A Possibilistic Approach for Activity Recognition in Smart Homes for Cognitive Assistance to Alzheimer’s Patients Atlantis Press. pp. 33- 58 ,(2011) , 10.2991/978-94-91216-05-3_2
Shebuti Rayana, Leman Akoglu, Less is More: Building Selective Anomaly Ensembles ACM Transactions on Knowledge Discovery From Data. ,vol. 10, pp. 42- ,(2016) , 10.1145/2890508
Georg Krempl, Daniel Kottke, Vincent Lemaire, Optimised probabilistic active learning (OPAL) Machine Learning. ,vol. 100, pp. 449- 476 ,(2015) , 10.1007/S10994-015-5504-1
William Eberle, Lawrence Holder, Scalable anomaly detection in graphs intelligent data analysis. ,vol. 19, pp. 57- 74 ,(2015) , 10.3233/IDA-140696