On Privacy and Security Challenges in Smart Connected Homes

Bugeja, Joseph; Jacobsson, Andreas; Davidsson, Paul

doi:10.1109/eisic.2016.044

Cited by 156 publications

(85 citation statements)

References 18 publications

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“…As their popularity increases, Internet of Things devices present an increasing threat to the security of the Internet as a whole [17,23,44] as well as to the privacy of individual end-users [4,9,14]. Yet, because these devices enter homes as "smarter" versions of already-existing appliances (e.g., TVs, light bulbs, and locks), users are often unaware of the risks they pose [32].…”

Section: Related Workmentioning

confidence: 99%

Privacy Attitudes of Smart Speaker Users

Malkin

Deatrick

Tong

et al. 2019

Proceedings on Privacy Enhancing Technologies

126

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As devices with always-on microphones located in people’s homes, smart speakers have significant privacy implications. We surveyed smart speaker owners about their beliefs, attitudes, and concerns about the recordings that are made and shared by their devices. To ground participants’ responses in concrete interactions, rather than collecting their opinions abstractly, we framed our survey around randomly selected recordings of saved interactions with their devices. We surveyed 116 owners of Amazon and Google smart speakers and found that almost half did not know that their recordings were being permanently stored and that they could review them; only a quarter reported reviewing interactions, and very few had ever deleted any. While participants did not consider their own recordings especially sensitive, they were more protective of others’ recordings (such as children and guests) and were strongly opposed to use of their data by third parties or for advertising. They also considered permanent retention, the status quo, unsatisfactory. Based on our findings, we make recommendations for more agreeable data retention policies and future privacy controls.

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Section: Related Workmentioning

confidence: 99%

Privacy Attitudes of Smart Speaker Users

Malkin

Deatrick

Tong

et al. 2019

Proceedings on Privacy Enhancing Technologies

126

View full text Add to dashboard Cite

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“…Security Vulnerabilities: Recent works have outlined security threats to SHSs [10,23,25].These threats focus on three SHSs components: communication protocols, devices, and apps. Attackers may exploit implementation flaws in communication protocols to leak sensitive information from devices [13,21,26] via information extracted from network packets [1,5,16]. Fernandes et al reported several design flaws in SHSs [11].…”

Section: Related Workmentioning

confidence: 99%

Aegis

Sikder

Babun

Aksu

et al. 2019

Proceedings of the 35th Annual Computer Security Applications Conference

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Our everyday lives are expanding fast with the introduction of new Smart Home Systems (SHSs). Today, a myriad of SHS devices and applications are widely available to users and have already started to re-define our modern lives. Smart home users utilize the apps to control and automate such devices. Users can develop their own apps or easily download and install them from vendor-specific app markets. App-based SHSs offer many tangible benefits to our lives, but also unfold diverse security risks. Several attacks have already been reported for SHSs. However, current security solutions consider smart home devices and apps individually to detect malicious actions rather than the context of the SHS as a whole. The existing mechanisms cannot capture user activities and sensor-device-user interactions in a holistic fashion. To address these issues, in this paper, we introduce Aegis, a novel context-aware security framework to detect malicious behavior in a SHS. Specifically, Aegis observes the states of the connected smart home entities (sensors and devices) for different user activities and usage patterns in a SHS and builds a contextual model to differentiate between malicious and benign behavior. We evaluated the efficacy and performance of Aegis in multiple smart home settings (i.e., single bedroom, double bedroom, duplex) with real-life users performing day-to-day activities and real SHS devices. We also measured the performance of Aegis against five different malicious behaviors. Our detailed evaluation shows that Aegis can detect malicious behavior in SHS with high accuracy (over 95%) and secure the SHS regardless of the smart home layout, device configuration, installed apps, and enforced user policies. Finally, Aegis achieves minimum overhead in detecting malicious behavior in SHS, ensuring easy deployability in real-life smart environments. CCS CONCEPTS• Security and privacy → Distributed systems security.

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“…Since it becomes unnecessary for devices to install a communication function and a security function (Joseph Bugeja et al, 2016) for connecting to the Internet, it is also possible to reduce the cost for making the device IoT.…”

Section: Introduction Of Iot Devicementioning

confidence: 99%

Comparison of Iot Devices Architecture in Home Network

Murakami

Teramoto²,

Kanazawa³

et al. 2019

Proceedings of the International Conferences ICT, Society, and Human Beings 2019; Connected Smart Cities 2019; And Web Based Co

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Recently, the number of IoT devices has increased, and this trend has been extended to home appliances (e.g. air conditioners, washing machines, refrigerators, etc.) and equipment (e.g. storage batteries, photovoltaics, etc.). There are mainly two architectures regarding to IoT conversion of the appliances installed in these houses. Specifically, they are "IoT devices connect to a server on the Internet via a controller" and "IoT devices connect to a server on the Internet directly". In this paper, these architectures are compared and it is shown that what kind of usage each architecture is effective.

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On Privacy and Security Challenges in Smart Connected Homes

Cited by 156 publications

References 18 publications

Privacy Attitudes of Smart Speaker Users

Privacy Attitudes of Smart Speaker Users

Aegis

Comparison of Iot Devices Architecture in Home Network

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