NIST:智能家居用户的安全和隐私感知和行为因设备类别而异:美国调查结果(2025) 21页

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时间:2025-06-25

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Smart Home Users’ Security and Privacy
Perceptions and Actions Differ By Device
Category: Results from a U.S. Survey
Julie M. Haney
1[0000000260179693]
, Yasemin Acar
2[0000000171677383]
, Anna
Li
3
, and Faith Haney
4
1
National Institute of Standards and Technology, Gaithersburg MD 20899, USA
julie.haney@nist.gov
2
Paderborn University, 33098 Paderborn, Germany
yasemin.acar@uni-paderborn.de
3
Massachusetts Institute of Technology, Cambridge MA 02139, USA
annawli@mit.edu
4
University of Maryland, College Park MD 20742, USA fhaney@umd.edu
Abstract. There are few insights into how users’ perspectives on smart
home security and privacy differ depending on device category. This may
leave the smart home community at a disadvantage in knowing how to
focus user education efforts to address device-specific misunderstandings
or concerns. As a result, consumers may remain uninformed or lack moti-
vation to protect some device categories, leaving devices and data vulner-
able. Towards closing this gap, we conducted a between-subjects survey
of 401 U.S. smart home users with devices in five categories: voice assis-
tants, thermostats, security devices, sensors, and lighting. Participants
found voice assistants to be most problematic and were most confident
about security devices and thermostats. We also report novel results re-
lated to lack of trust of lighting device manufacturers and general comfort
with sensor security and privacy. Our identification of differences across
device categories can contribute to greater user empowerment through
tailored smart home user education materials.
Keywords: Security · Smart home · Internet of things · Users.
1 Introduction
Internet of things (IoT) smart home research reveals that users may have inac-
curate mental models of device security and privacy, exhibit lingering concerns
even after adopting devices, struggle with a lack of transparency about data
collection and use, and feel powerless to take action [22,53]. As a result, smart
home devices and the data they collect may remain vulnerable to compromise.
Researchers suggest that user education may help counter these issues [53,63].
Device manufacturers play an important role in education, as reflected in IoT
security baselines and guidance from government [3,17,42], industry [9,29], and
standards [16] organizations. These baselines (minimum controls to sufficiently
资源描述:

这是一篇关于美国家庭智能设备安全与隐私的研究报告。通过对401名用户的调查,发现不同设备类型在安全和隐私认知及行动上存在差异。 1. **研究背景**:物联网智能家居发展迅速,但用户对设备安全和隐私的认知不准确,缺乏透明度。制造商在用户教育中起重要作用,标签计划也有助于提高用户意识。 2. **研究方法**:采用受试者间设计的调查方法,对五类智能设备(语音助手、恒温器、安全设备、传感器、照明)的用户进行调查。招募参与者时设定了年龄、居住地区和设备使用等条件,最终收集到401份有效回复。 3. **研究结果** - **安全和隐私认知**:用户认为语音助手安全性和隐私保护最差,安全设备和恒温器相对较好。对设备安全性和隐私性的担忧程度因设备类型而异,但差异不显著。用户不担心的原因包括认为收益大于风险、设备不被关注、被黑几率低等。 - **安全和隐私行动**:安全和隐私行动通常很简单,安全设备的行动更多。用户最常采取的行动是设置密码或PIN,不同设备类型在行动上存在显著差异。用户对保护语音助手的能力最缺乏信心,行动障碍因设备类型而异。 4. **研究结论**:参与者对语音助手的不安和无力感更强;恒温器用户可能因认为被黑几率低而不采取保护行动;安全设备用户更积极参与保护;用户普遍认为传感器安全且隐私保护较好,但对其安全性担忧不足;对智能照明制造商存在不信任,认为其被黑几率更高且隐私选项不足。

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