Internet of Things: Current Research, Challenges, Trends and Applications

Debnath, Dipankar; Chettri, Sarat Kr.

doi:10.1007/978-981-33-4604-8_52

Cited by 4 publications

(2 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They also classified these issues and provided solutions. Debnath and Chettri [ 118 ] reviewed the current trends in IoT research, as well as identifying the recent issues and challenges in IoT applications and industries. Toutsop et al [ 119 ] proved that hackers can exploit sensors and gain unauthorized access to IoT networks.…”

Section: Cybersecurity In Smart Citiesmentioning

confidence: 99%

Cybersecurity and Cyber Forensics for Smart Cities: A Comprehensive Literature Review and Survey

Kim

Alshenaifi

Ramachandran

et al. 2023

Sensors

View full text Add to dashboard Cite

Smart technologies, such as the Internet of Things (IoT), cloud computing, and artificial intelligence (AI), are being adopted in cities and transforming them into smart cities. In smart cities, various network technologies, such as the Internet and IoT, are combined to exchange real-time information, making the everyday lives of their residents more convenient. However, there is a lack of systematic research on cybersecurity and cyber forensics in smart cities. This paper presents a comprehensive review and survey of cybersecurity and cyber forensics for smart cities. We analysed 154 papers that were published from 2015 to 2022 and proposed a new framework based on a decade of related research papers. We identified four major areas and eleven sub-areas for smart cities. We found that smart homes and the IoT were the most active research areas within the cybersecurity field. Additionally, we found that research on cyber forensics for smart cities was relatively limited compared to that on cybersecurity. Since 2020, there have been many studies on the IoT (which is a technological component of smart cities) that have utilized machine learning and deep learning. Due to the transmission of large-scale data through IoT devices in smart cities, ML and DL are expected to continue playing critical roles in smart city research.

show abstract

Section: Cybersecurity In Smart Citiesmentioning

confidence: 99%

Cybersecurity and Cyber Forensics for Smart Cities: A Comprehensive Literature Review and Survey

Kim

Alshenaifi

Ramachandran

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…The authors discussed various IoT applications, such as smart homes, healthcare, and transportation. The paper also highlighted some of the challenges associated with IoT systems, such as data privacy and security, interoperability, and the need for appropriate regulatory frameworks [9]. In summary, the selected papers highlight the importance of IoT in various domains and discuss some of the challenges associated with implementing IoT systems.…”

Section: Related Workmentioning

confidence: 99%

Let Us Create Our Desktop IoT Soft-Switchboard Using AWS, ESP32 and C#

Chakraborty,

Aithal

2023

SSRN Journal

View full text Add to dashboard Cite

Let Us Create Our Desktop IoT Soft-Switchboard Using AWS, ESP32 and C#

Chakraborty

Aithal

2023

IJCSBE

View full text Add to dashboard Cite

Purpose: This paper provides the procedure for developing a desktop IoT soft switchboard using Amazon Web Services (AWS), ESP32, and C#. It provides a user-friendly interface enabling users to control various IoT devices in their homes and offices from a desktop computer. It leverages the capabilities of AWS, ESP32, and C# to create a scalable, secure, and reliable platform for developing IoT applications. C# is used to develop the user interface, making the system easy to use for end-users. The proposed system can be applied in various industries, including healthcare, smart homes, and manufacturing, where centralized control and management of multiple devices are required. It offers a practical and efficient way to enhance the user experience and enable efficient management and control of IoT devices. Design/Methodology/Approach: The first step is to set up the hardware components required for the project, ESP32, fan speed control, 5v relay, and power supply module. The next step involves developing the software components for the project. This includes setting up an AWS account and configuring the AWS cloud. The ESP32 development board must be programmed to communicate with the AWS cloud and control the IoT devices. The C# programming language is used to develop the desktop application. After the software and hardware components have been developed, testing and validation are essential to ensure the system works as expected. Findings/Result: The proposed system was tested and validated to ensure its functionality and practicality. The system could control various IoT devices from the desktop computer, including lights, fans, A.C., and night lamps. The practical experiments showed that the system is responsive and efficient in controlling IoT devices. Originality/Value: it provides a practical and efficient solution for controlling multiple IoT devices from a centralized system, enabling end-users to manage and control multiple devices through a user-friendly interface. The originality of the proposed system lies in its ability to control various IoT devices from a desktop computer, providing a comprehensive solution for controlling IoT devices from a centralized system. Paper Type: Experimental-based Research.

show abstract

Internet of Things: Current Research, Challenges, Trends and Applications

Cited by 4 publications

References 49 publications

Cybersecurity and Cyber Forensics for Smart Cities: A Comprehensive Literature Review and Survey

Cybersecurity and Cyber Forensics for Smart Cities: A Comprehensive Literature Review and Survey

Let Us Create Our Desktop IoT Soft-Switchboard Using AWS, ESP32 and C#

Let Us Create Our Desktop IoT Soft-Switchboard Using AWS, ESP32 and C#

Contact Info

Product

Resources

About