A Survey To Bridging The Gap Between Energy And Security In IoT And Home

Gupta, Punit; Bharadwaj, S. Aakash; Sharma, Vipin Kumar

doi:10.1109/iciip47207.2019.8985841

Cited by 3 publications

(4 citation statements)

References 22 publications

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“…Nineteen papers covered by the meta-review focus on various common issues arising from security and privacy problems in a smart home. DeFranco and Kassab's 74,75,133,185] ✓ ✓ [51,55] ✓ ✓ [45,109,151,159,175] paper [52] covered the broad theme of general research avenues around smart home. While Kuyucu et al [99] reviewed papers relating to both privacy and security related issues and solutions, Liao et al [109] explored security problems, challenges, techniques used, and solutions available from a mobile computing point of view.…”

Section: Security and Privacy In Generalmentioning

confidence: 99%

“…Four papers [11,62,127,133] provided a general classification of different authentication schemes, threats and attacks on IoT devices in a smart home. Other such as Ghazali and Zakaria [66] extensively reviewed the biometric factors reflecting on the authentication mechanisms inside a smart home whereas, Gupta et al [75] focused on a comparative study of different encryption algorithms used in IoT platform and proposed solutions to increase energy efficiency of various systems.…”

Section: 24mentioning

confidence: 99%

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A Survey of User Perspectives on Security and Privacy in a Home Networking Environment

Nandita

Nurse

2023

ACM Comput. Surv.

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The security and privacy of smart home systems, particularly from a home user’s perspective, have been a very active research area in recent years. However, via a meta-review of 52 review papers covering related topics (published between 2000 and 2021), this paper shows a lack of a more recent literature review on user perspectives of smart home security and privacy since the 2010s. This identified gap motivated us to conduct a systematic literature review (SLR) covering 126 relevant research papers published from 2010 to 2021. Our SLR led to the discovery of a number of important areas where further research is needed; these include holistic methods that consider a more diverse and heterogeneous range of home devices, interactions between multiple home users, complicated data flow between multiple home devices and home users, some less-studied demographic factors, and advanced conceptual frameworks. Based on these findings, we recommended key future research directions, e.g., research for a better understanding of security and privacy aspects in different multi-device and multi-user contexts, and a more comprehensive ontology on the security and privacy of the smart home covering varying types of home devices and behaviors of different types of home users.

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Section: Security and Privacy In Generalmentioning

confidence: 99%

Section: 24mentioning

confidence: 99%

A Survey of User Perspectives on Security and Privacy in a Home Networking Environment

Nandita

Nurse

2023

ACM Comput. Surv.

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“…e existence of the Zika virus in India was established by Sumit Bhardwaj and colleagues (2017) [15]. On the basis of the samples, four of the Zika-infected patients were identified during the screening process.…”

Section: Literature Surveymentioning

confidence: 99%

“…As a result, care should be made to avoid contracting Zika since it is very contagious among pregnant women, babies, and adults alike. The existence of the Zika virus in India was established by Sumit Bhardwaj and colleagues (2017) [ 15 ]. On the basis of the samples, four of the Zika-infected patients were identified during the screening process.…”

Section: Literature Surveymentioning

confidence: 99%

Zika Virus Prediction Using AI-Driven Technology and Hybrid Optimization Algorithm in Healthcare

Dadheech

Mehbodniya

Tiwari

et al. 2022

Journal of Healthcare Engineering

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The Zika virus presents an extraordinary public health hazard after spreading from Brazil to the Americas. In the absence of credible forecasts of the outbreak's geographic scope and infection frequency, international public health agencies were unable to plan and allocate surveillance resources efficiently. An RNA test will be done on the subjects if they are found to be infected with Zika virus. By training the specified characteristics, the suggested Hybrid Optimization Algorithm such as multilayer perceptron with probabilistic optimization strategy gives forth a greater accuracy rate. The MATLAB program incorporates numerous machine learning algorithms and artificial intelligence methodologies. It reduces forecast time while retaining excellent accuracy. The projected classes are encrypted and sent to patients. The Advanced Encryption Standard (AES) and TRIPLE Data Encryption Standard (TEDS) are combined to make this possible (DES). The experimental outcomes improve the accuracy of patient results communication. Cryptosystem processing acquires minimal timing of 0.15 s with 91.25 percent accuracy.

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Energy-Efficient Fog Computing for 6G-Enabled Massive IoT: Recent Trends and Future Opportunities

Malik

Javed

Zeadally

et al. 2022

IEEE Internet Things J.

116

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A Survey To Bridging The Gap Between Energy And Security In IoT And Home

Cited by 3 publications

References 22 publications

A Survey of User Perspectives on Security and Privacy in a Home Networking Environment

A Survey of User Perspectives on Security and Privacy in a Home Networking Environment

Zika Virus Prediction Using AI-Driven Technology and Hybrid Optimization Algorithm in Healthcare

Energy-Efficient Fog Computing for 6G-Enabled Massive IoT: Recent Trends and Future Opportunities

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