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Security in Centralized Data Store-based Home Automation Platforms

Kaushal Kafle, Kevin Moran, Sunil Manandhar, Adwait Nadkarni, Denys Poshyvanyk
2020 ACM Transactions on Cyber-Physical Systems  
involving apps and devices) via manipulation of state variables in a centralized data store.  ...  This article describes our systematic security evaluation of two popular smart home platforms, Google's Nest platform and Philips Hue, which implement home automation "routines" (i.e., trigger-action programs  ...  Due to this lack of user control, Nest smart homes may face unique security risks and challenges, Security in Centralized Data Store-based Home Automation Platforms 2:5 Fig. 2 .  ... 
doi:10.1145/3418286 fatcat:wngbtqkkizdrffsueqnq4ym36y

A Study of Data Store-based Home Automation [article]

Kaushal Kafle, Kevin Moran, Sunil Manandhar, Adwait Nadkarni, Denys Poshyvanyk
2018 arXiv   pre-print
In this paper we perform a systematic security evaluation of two popular smart home platforms, Google's Nest platform and Philips Hue, that implement home automation "routines" (i.e., trigger-action programs  ...  involving apps and devices) via manipulation of state variables in a centralized data store.  ...  Contributions: This paper performs a systematic security analysis of some of the less studied, but widely popular, data store-based smart home platforms, i.e., Nest and Hue, helping to close the existing  ... 
arXiv:1812.01597v1 fatcat:6hufgx3bijftbdda5e5ocnlxva

Sustaining Complement Quality for Digital Product Platforms: A Case Study of the Philips Hue Ecosystem

Susan Hilbolling, Hans Berends, Fleur Deken, Philipp Tuertscher
2020 The Journal of product innovation management  
, connected home products, other home automation apps, smartphones and associated platforms such as iOS.  ...  (George Yianni, Hue inventor, February 2014). Data Collection We collected data about the dynamics of the platform ecosystem and its complementary products as embedded units of analysis.  ...  Did you get any formal training in programming/ software/IT? Are you a professional developer and/or do you develop  ... 
doi:10.1111/jpim.12555 fatcat:6k4me3rb5zgjvgwgaxeyw6idoq

Discovering and Understanding the Security Hazards in the Interactions between IoT Devices, Mobile Apps, and Clouds on Smart Home Platforms [article]

Wei Zhou, Yan Jia, Yao Yao, Lipeng Zhu, Le Guan, Yuhang Mao, Peng Liu, Yuqing Zhang
2019 arXiv   pre-print
In this work, we conducted an in-depth analysis of five widely-used smart home platforms.  ...  A smart home connects tens of home devices to the Internet, where an IoT cloud runs various home automation applications.  ...  Therefore, it might be difficult to find a security bug in any of the software behind the whole smart home platform, including the firmware on the device, mobile app, and cloud services.  ... 
arXiv:1811.03241v2 fatcat:l62uo5jc4ncmznhfiloijwx2e4

SoK: Security Evaluation of Home-Based IoT Deployments

Omar Alrawi, Chaz Lever, Manos Antonakakis, Fabian Monrose
2019 2019 IEEE Symposium on Security and Privacy (SP)  
Home-based IoT devices have a bleak reputation regarding their security practices.  ...  Our work proposes a methodology that researchers and practitioners could employ to analyze security properties for home-based IoT devices.  ...  We thank the Kryptowire team for providing the automated mobile application security analysis platform. + (TLS/SSL) - Fig. 1 : 1 Fig. 1: Typical home-based IoT setup.  ... 
doi:10.1109/sp.2019.00013 dblp:conf/sp/AlrawiLAM19 fatcat:rk4xe56rjfewpkw3vi2uebomde

Towards Practical Integrity in the Smart Home with HomeEndorser [article]

Kaushal Kafle
2021 arXiv   pre-print
Home automation in modern smart home platforms is often facilitated using trigger-action routines.  ...  We present the HomeEndorser framework, which provides a policy model for specifying endorsement policies for AHOs as changes in device states, relative to their location, and a platform-based reference  ...  Note that the selection of routines included one involving home shared state changing from away to home that was denied throughout the day, i.e., when user is home, disarm the security panel.  ... 
arXiv:2109.05139v1 fatcat:xrbzhrp2f5f63cbu62uyxlka5a

Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey [article]

Basheer Qolomany, Ala Al-Fuqaha, Ajay Gupta, Driss Benhaddou, Safaa Alwajidi, Junaid Qadir, Alvis C. Fong
2019 arXiv   pre-print
In this paper, we survey the area of smart building with a special focus on the role of techniques from machine learning and big data analytics.  ...  Machine learning and big data analytics will undoubtedly play a critical role to enable the delivery of such smart services.  ...  Sensors and similar objects in SBs produce raw data simultaneously in an automated way and such devices may store the data for a specific period of time or report it to controlled components [168] .  ... 
arXiv:1904.01460v2 fatcat:rz2gsyurkradlkqvfankw3zue4

Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey

Basheer Qolomany, Ala Al-Fuqaha, Ajay Gupta, Driss Benhaddou, Safaa Alwajidi, Junaid Qadir, Alvis C. Fong
2019 IEEE Access  
In this paper, we survey the area of smart building with a special focus on the role of techniques from machine learning and big data analytics.  ...  Machine learning and big data analytics will undoubtedly play a critical role to enable the delivery of such smart services.  ...  Sensors and similar objects in SBs produce raw data simultaneously in an automated way and such devices may store the data for a specific period of time or report it to controlled components [168] .  ... 
doi:10.1109/access.2019.2926642 fatcat:637wvzuezncn5noyfpfzx7w3ve

Smart Home Voice Assistants: A Literature Survey of User Privacy and Security Vulnerabilities

Khairunisa Sharif, Department of Computer Science, State University of New York at Oswego, Oswego, NY 13126, United States, Bastian Tenbergen, Department of Computer Science, State University of New York at Oswego, Oswego, NY 13126, United States
2020 Complex Systems Informatics and Modeling Quarterly  
However, since their inherent nature is to observe the user in their home, their ubiquity also raises concern of security and user privacy.  ...  to other services and appliances must maintain confidentiality of data.  ...  To evaluate the effectiveness of their approach, the authors added the service to the Philips Hue light-bulb and the Nest smoke-alarm in a lab setting.  ... 
doi:10.7250/csimq.2020-24.02 fatcat:zlilckmb7bbpfoowcx65xxn5ke

A Survey on Internet of Things From Industrial Market Perspective

Charith Perera, Chi Harold Liu, Srimal Jayawardena, Min Chen
2014 IEEE Access  
It also provides a systematic exploration of existing IoT products in the marketplace and highlights a number of potentially significant research directions and trends.  ...  In this article, we examine a variety of popular and innovative IoT solutions in terms of context-aware technology perspectives.  ...  Still it can learn user behaviour over time (based on how users use the product), and automate the task without storing data.  ... 
doi:10.1109/access.2015.2389854 fatcat:5mvkwfh67jhgpjr7sag6z3t4hy

"It did not give me an option to decline": A Longitudinal Analysis of the User Experience of Security and Privacy in Smart Home Products

George Chalhoub, Martin J Kraemer, Norbert Nthala, Ivan Flechais
2021 Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems  
In order to reduce frustration and help fulfill the promise of smart homes, we need to explore the experience of security and privacy in situ.  ...  We analyze an ethnographic study observing six UK households over six months to present a longitudinal view of security and privacy user experiences in smart products.  ...  The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the  ... 
doi:10.1145/3411764.3445691 fatcat:exdhapmbfnaprdfiwh2ctv3er4

Transformation to advanced mechatronics systems within new industrial revolution: A novel framework in Automation of Everything (AoE)

Kaya Kuru, Halil Yetgin
2019 IEEE Access  
and continuous learning, while the products are being used by customers and are being produced in factories within the cycle of Automation of Everything (AoE).  ...  The recent advances in cyber-physical domains, cloud, cloudlet and edge platforms along with the evolving Artificial Intelligence (AI) techniques, big data analytics and cutting-edge wireless communication  ...  Sensitive data should only be stored on authorized VMs to ensure anticipated security and privacy.  ... 
doi:10.1109/access.2019.2907809 fatcat:cye2jn223be75hdrad5hharwhu

Recent Advances in Internet of Things (IoT) Infrastructures for Building Energy Systems: A Review

Wahiba Yaïci, Karthik Krishnamurthy, Evgueniy Entchev, Michela Longo
2021 Sensors  
Last, based on the studies reviewed, a few aspects of prospective research were recommended.  ...  Several features of the central components of IoT, namely, the hardware and software needed for building controls, are analysed.  ...  Acknowledgments: The authors would like to thank the Office of Energy Research and Development (OERD) of Natural Resources Canada for their valuable financial support.  ... 
doi:10.3390/s21062152 pmid:33808558 fatcat:wslqwjnjkvb6zgl2ar2ekfquze

Exploring the Needs of Users for Supporting Privacy-Protective Behaviors in Smart Homes

Haojian Jin, Boyuan Guo, Rituparna Roychoudhury, Yaxing Yao, Swarun Kumar, Yuvraj Agarwal, Jason I. Hong
2022 CHI Conference on Human Factors in Computing Systems  
In this paper, we studied people's smart home privacy-protective behaviors (SH-PPBs), to gain a better understanding of their privacy management do's and don'ts in this context.  ...  Among the 11 concepts, Privacy Diagnostics, which is similar to security diagnostics in anti-virus software, was far preferred over the rest.  ...  Alarm (e.g., Dome Home Automation Siren and Chime, SimpliSafe Home Security System) Smart Thermostat (e.g., Nest Learning Thermostat, Ecobee, GoControl Thermostat) Smart Home Hub (e.g., Samsung Smart  ... 
doi:10.1145/3491102.3517602 fatcat:un2xnokapbdzrg5ygsdwf2d3ui

IoT Behavioral Monitoring via Network Traffic Analysis [article]

Arunan Sivanathan
2020 arXiv   pre-print
Smart homes, enterprises, and cities are increasingly being equipped with a plethora of Internet of Things (IoT), ranging from smart-lights to security cameras.  ...  We develop a robust machine learning-based inference engine trained with these attributes and demonstrate real-time classification of 28 IoT devices with over 99% accuracy.  ...  Next, we apply our automated security test suite to 20 IoT devices available in the market today, chosen to cover a range of applications including home security (cameras and motion sensor), health (weighing  ... 
arXiv:2001.10632v1 fatcat:ylly7ksir5bpfhr3wplqsg6eta
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