VULNERABILITY OF SMART HOMES

Authors

  • Shohboz Xurram o‘g‘li Xurramov TUIT Karshi branch, student
  • Shoxrux Husen o‘g‘li Shokirov TUIT Karshi branch, student
  • Dilso‘z Faxriddin qizi Faxriddinova TUIT Karshi branch, student

Keywords:

Smarthomes, IoT, attack.

Abstract

The number of smart homes globally is expected to growth to 478.2 million by next year [1]. One of the biggest attractions of smart home technology is using internet-connected devices to secure personal dwellings remotely.  Despite the ease smart home security devices provide for protecting homes against theft, damage, or accident, smart home devices also create the risk of lowering personal data security.

A 2021 research project discovered that typical smart homes are helpless to a high number of data attacks.[2] Reported instances of smart home attacks have included hackers remotely controlling smart lights and smart TVs [3], unlocking IoT-enabled doors, and remotely turning on and streaming video from smart cameras.[4] In one example, a Milwaukee home only realized they had been attacked when they woke up after their thermostat had been programmed to over 30 degrees Celsius [5].

Two major faults in connected homes make them susceptible to these attacks; vulnerable local networks and weak IoT devices.

References

[Online]. Available from: https://www.statista.com/forecasts/887613/number-of-smart-homes-in-the-smart-home-market-in-the-world.

Laughlin A. which.co.uk. [Online].; 2021. Available from: https://www.which.co.uk/news/2021/07/how-the-smart-home-could-be-at-risk-from-hackers/.

Qodirov, F. E., O. D. Doniyorov, and H. Shokirov Sh. "Basic concepts of information security in information systems. Wide threats and their consequences." концепции устойчивого развития науки в современных условиях (2021): 153-155.

Qodirov F. E., Akbarova D. A., Shokirov S. H. Software for working with computer graphics and their tasks. Application of digital image processing fields //Инновации в технологиях и образовании: сб. ст. участников XIV Меж. – С. 57.

Шокиров, Ш. Х., and Ш. Т. Турамурадов. "преимущества и эффективность использования искусственного интеллекта в социально-экономической сфере." international conferences. Vol. 1. No. 5. 2022.

Shokirov, Sh H., Sh B. Nusratova, and Y. Q. Shoniyozova. "advantages of neural networks." концепции и модели устойчивого инновационного развития (2020): 56.

Рустамов М. А., Шокиров Ш. Ҳ., Шониёзова Ю. Қ. Развитие компьютерных языков и программистов //теоретические и практические основы научного прогресса в современном обществе. – 2020. – С. 14-18.

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Published

2023-02-09

How to Cite

Xurramov , S. X. o‘g‘li, Shokirov , S. H. o‘g‘li, & Faxriddinova , D. F. qizi. (2023). VULNERABILITY OF SMART HOMES. SCHOLAR, 1(3), 94–97. Retrieved from https://researchedu.org/index.php/openscholar/article/view/1558

Issue

Vol. 1 No. 3 (2023): SCHOLAR

Section

Articles

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.