Challenges in internet of things towards the security using deep learning techniques

“…Another notable research evaluated here is [116], where the authors look at the limitations of IoT devices used in real-world applications in terms of security. Most notably, they explain how the nature of these devices being in an unguarded area and with fairly underpowered processing capabilities makes them a prime target for exploitation.…”

Section: Machine Learning-based Solutionsmentioning

confidence: 99%

A Survey on Security, Privacy, Trust, and Architectural Challenges in IoT Systems

Adam,

Hammoudeh,

Alrawashdeh

et al. 2024

IEEE Access

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The Internet of Things (IoT) emerged as a pervasive technology, facilitating the seamless interaction of devices, individuals, and services, enabling data exchange and task execution across various domains. While the impact of IoT is undeniably transformative, its extensive proliferation raised significant concerns surrounding security, privacy, and trust, which stand as critical barriers to the widespread adoption and advancement of IoT technology. This review article explores IoT security, privacy, and trust research using a 3-layer IoT architecture. After introducing the fundamental tenets of IoT security, privacy, and trust, it proceeds to examine the prevalent security requirements within IoT architectures and their associated challenges. Then, the survey investigates the recent trends in research dedicated to addressing security, privacy, and trust issues within IoT systems. Furthermore, this article reviews the latest advancements and methodologies designed to secure IoT systems against security breaches and protect the privacy of sensitive data. Finally, the survey outlines unresolved challenges within the IoT security landscape and potential solutions. By offering this consolidated insight, this article offers a bridge between foundational and advanced IoT security topics, providing researchers with an in-depth understanding of current IoT security, privacy, and trust challenges, as well as cutting-edge solutions tailored to address the security and trust-related obstacles faced by IoT applications. This comprehensive overview equips the IoT community with the knowledge necessary to navigate the complex terrain of security, privacy, and trust in IoT systems.

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“…The Internet of Things (IoT) is an organization comprised of interconnected gadgets. These gadgets are equipped for detecting their current circumstance and sharing and handling information that can be made accessible to an assortment of utilizations [43]. The Internet of Things (IoT) is a term that is frequently used in the current digital era.…”

Section: Internet Of Thingsmentioning

confidence: 99%

Fire Safety Index for High-Rise Buildings in the Emirate of Sharjah, UAE

Omar

Mahmoud

Aziz

2023

Fire

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The purpose of this paper was to develop a fire index system for measuring the compliance of high-rise residential buildings with fire requirements in the Emirate of Sharjah, and also to develop an index system for measuring the fire response efficiency, which is linked the two indexes, and the higher the compliance rate, the greater chance of a successful response. The two systems depend on the automation of the firefighting system management processes using the techniques of the fourth industrial revolution, and they were developed based on consultation with subject matter experts in the field and used multiple methods, such as the analytic hierarchy process, failure mode effect, criticality analysis, and Delphi techniques. The main criteria of the indexes were identified as the fire risk assessment, fire suppression system, fire accident management, fire alarm system, fire extinguisher, employees, residents, service rooms, lifts, gas connections, waste, housekeeping, and evacuation facilities. Each main criterium was detailed in the sub-criteria and weighted to achieve the index for each sub-criteria based on the fire legislation in UAE, the fire response index (developed based on the high-rise building fire index), the category of the building in terms of floor numbers, and the distance between building and the fire station. The two index systems can contribute to improving emergency preparedness in high-rise residential buildings in the Emirate of Sharjah and are also considered as measurement indexes for compliance with fire requirements in the Emirate of Sharjah.

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Challenges in internet of things towards the security using deep learning techniques

Cited by 9 publications

References 9 publications

An improved crow search optimization with Bi-LSTM model for identification and classification of COVID-19 infection from chest X-Ray images

An improved crow search optimization with Bi-LSTM model for identification and classification of COVID-19 infection from chest X-Ray images

A Survey on Security, Privacy, Trust, and Architectural Challenges in IoT Systems

Fire Safety Index for High-Rise Buildings in the Emirate of Sharjah, UAE

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