Towards a Usable Framework for Modelling Security and Privacy Risks in the Smart Home

Home automation is now extremely common in Internet of things services and devices with a range of assurances to improve health, lifestyle, and customer wellbeing. In terms of its success and apparent utility for humans, intelligent homes possess various safety concerns resulting from the diversified, vast-range, and nuanced nature of IoT. Previous studies have talked about security and privacy issues. However, we observe that they have not addressed the risk assessment of each smart home component and corresponding security objective along with additional factors that affect a smart home security posture. In this study, we have proposed a framework defining a standard level of security and then analyzing each component concerning it. There are so many vulnerabilities, but all cannot be assessed due to the heterogeneity of devices and their connection in a small network. IoT can support a wide range of technologies and programs in various domains, including smart cities and smart houses. For monitoring, data exchange, and other operations in the given service, IoT smart objects communicate with other elements such as proxies, mobile devices, and data collectors. While such components help solve various social issues and provide consumers with modern advanced services, their restricted computing capacities render them vulnerable to well-known protection and privacy risks.

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Security and Privacy Risks for Remote Healthcare Monitoring Systems

2020 International Conference on e-Health and Bioengineering (EHB) ◽

10.1109/ehb50910.2020.9280103 ◽

2020 ◽

Author(s):

Marilena Ianculescu ◽

Dora Coardos ◽

Ovidiu Bica ◽

Victor Vevera

Keyword(s):

Security And Privacy ◽

Monitoring Systems ◽

Remote Healthcare ◽

Healthcare Monitoring ◽

Privacy Risks

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Assessing Users’ Privacy and Security Concerns of Smart Home Technologies

i-com ◽

10.1515/icom-2019-0015 ◽

2019 ◽

Vol 18 (3) ◽

pp. 197-216 ◽

Cited By ~ 1

Author(s):

Verena Zimmermann ◽

Paul Gerber ◽

Karola Marky ◽

Leon Böck ◽

Florian Kirchbuchner

Keyword(s):

Smart Home ◽

Elderly Care ◽

Security And Privacy ◽

Structured Interviews ◽

Privacy And Security ◽

Privacy Concerns ◽

Private Lives ◽

Societal Level ◽

Home Users

AbstractSmart Home technologies have the potential to increase the quality of life, home security and facilitate elderly care. Therefore, they require access to a plethora of data about the users’ homes and private lives. Resulting security and privacy concerns form a relevant barrier to adopting this promising technology. Aiming to support end users’ informed decision-making through addressing the concerns we first conducted semi-structured interviews with 42 potential and little-experienced Smart Home users. Their diverse concerns were clustered into four themes that center around attacks on Smart Home data and devices, the perceived loss of control, the trade-off between functionality and security, and user-centric concerns as compared to concerns on a societal level. Second, we discuss measures to address the four themes from an interdisciplinary perspective. The paper concludes with recommendations for addressing user concerns and for supporting developers in designing user-centered Smart Home technologies.

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EDSAC–An Efficient Dempster Shafer Algorithm for Classication to Estimate the Service, Security and Privacy Risks with the Service Providers

Wireless Personal Communications ◽

10.1007/s11277-021-09105-8 ◽

2021 ◽

Author(s):

C. Muralidharan ◽

R. Anitha

Keyword(s):

Service Providers ◽

Security And Privacy ◽

Privacy Risks

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SEF4CPSIoT Software Engineering Framework for Cyber-Physical and IoT Systems

International Journal of Hyperconnectivity and the Internet of Things ◽

10.4018/ijhiot.2021010101 ◽

2021 ◽

Vol 5 (1) ◽

pp. 1-24

Author(s):

Muthu Ramachandran

Keyword(s):

Software Engineering ◽

Smart Home ◽

Cyber Physical Systems ◽

Classification Model ◽

Security And Privacy ◽

Physical Systems ◽

Iot Applications ◽

Communications Technologies ◽

Efficient Control ◽

Efficient Integration

Cyber-physical systems (CPS) have emerged to address the need for more efficient integration of modern advancement in cyber and wireless communications technologies such as 5G with physical objects. In addition, CPSs systems also needed to efficient control of security and privacy when we compare them with internet of things (IoT). In recent years, we experienced lack of security concerns with smart home IoT applications such as home security camera, etc. Therefore, this paper proposes a systematic software engineering framework for CPS and IoT systems. This paper also proposed a comprehensive requirements engineering framework for CPS-IoT applications which can also be specified using BPMN modelling and simulation to verify and validate CPS-IoT requirements with smart contracts. In this context, one of the key contribution of this paper is the innovative and generic requirements classification model for CPS-IoT application services, and this can also be applied to other emerging technologies such as fog, edge, cloud, and blockchain computing.

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Towards Secure and Privacy-Preserving IoT Enabled Smart Home: Architecture and Experimental Study

Sensors ◽

10.3390/s20216131 ◽

2020 ◽

Vol 20 (21) ◽

pp. 6131

Author(s):

Mamun Abu-Tair ◽

Soufiene Djahel ◽

Philip Perry ◽

Bryan Scotney ◽

Unsub Zia ◽

...

Keyword(s):

Experimental Study ◽

Smart Home ◽

Privacy Preservation ◽

Smart Cities ◽

Security And Privacy ◽

Test Cases ◽

Security Threats ◽

Hardware Implementations ◽

Cryptographic Algorithms ◽

Iot Devices

Internet of Things (IoT) technology is increasingly pervasive in all aspects of our life and its usage is anticipated to significantly increase in future Smart Cities to support their myriad of revolutionary applications. This paper introduces a new architecture that can support several IoT-enabled smart home use cases, with a specified level of security and privacy preservation. The security threats that may target such an architecture are highlighted along with the cryptographic algorithms that can prevent them. An experimental study is performed to provide more insights about the suitability of several lightweight cryptographic algorithms for use in securing the constrained IoT devices used in the proposed architecture. The obtained results showed that many modern lightweight symmetric cryptography algorithms, as CLEFIA and TRIVIUM, are optimized for hardware implementations and can consume up to 10 times more energy than the legacy techniques when they are implemented in software. Moreover, the experiments results highlight that CLEFIA significantly outperforms TRIVIUM under all of the investigated test cases, and the latter performs 100 times worse than the legacy cryptographic algorithms tested.

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Narcissism as a Predictor of Facebook Users' Privacy Concern, Vigilance, and Exposure to Risk

International Journal of Technology and Human Interaction ◽

10.4018/ijthi.2014040105 ◽

2014 ◽

Vol 10 (2) ◽

pp. 78-95 ◽

Cited By ~ 12

Author(s):

Karen Smith ◽

Francis Mendez ◽

Garry L. White

Keyword(s):

Security And Privacy ◽

Future Research ◽

Privacy Concern ◽

Privacy And Security ◽

Research Directions ◽

Security Breaches ◽

Future Research Directions ◽

Controlling Variables ◽

And Gender ◽

Privacy Risks

A model is developed and tested to explain the relationships among narcissism, privacy concern, vigilance, and exposure to risk on Facebook, with age and gender as controlling variables. Two important constructs are conceptualized and measured in this research. Facebook exposure is defined as the opportunity for privacy and security breaches on Facebook. Facebook vigilance is the extent to which consumers stay focused, attentive, and alert to potential security and privacy risks on Facebook by restricting who can access and post to their Facebook accounts. Data from a survey of 286 adult Facebook users in the U.S. support the hypothesized relationships in the model. Results suggest that narcissism is related to increased Facebook exposure and lower Facebook vigilance, despite greater stated concern for privacy and security. Furthermore, females and younger users have greater risk exposure compared to males and older users. Implications of the findings and future research directions are discussed.

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