Intelligent Adaptive Optimisation Method for Enhancement of Information Security in IoT-Enabled Environments

Singh, Shailendra Pratap; Alotaibi, Youseef; Kumar, Gyanendra; Rawat, Sur Singh

doi:10.3390/su142013635

Cited by 5 publications

(6 citation statements)

References 38 publications

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“…Research has been conducted to determine LQI, a channel prediction model, and RSSI in an outdoor setting concerning signaling [24]. The new intelligent mutation operator improves the security, privacy, integrity, and authenticity of the information system by identifying harmful requests and responses and helping to defend the system against assault [25]. Single-chip nodes for autonomous node programming over a USB model design were covered in another article [26].…”

Section: Literature Reviewmentioning

confidence: 99%

Telepresence Robot with DRL Assisted Delay Compensation in IoT-Enabled Sustainable Healthcare Environment

2023

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Telepresence robots have become popular during the COVID-19 era due to the quarantine measures and the requirement to interact less with other humans. Telepresence robots are helpful in different scenarios, such as healthcare, academia, or the exploration of certain unreachable territories. IoT provides a sensor-based environment wherein robots acquire more precise information about their surroundings. Remote telepresence robots are enabled with more efficient data from IoT sensors, which helps them to compute the data effectively. While navigating in a distant IoT-enabled healthcare environment, there is a possibility of delayed control signals from a teleoperator. We propose a human cooperative telecontrol robotics system in an IoT-sensed healthcare environment. The deep reinforcement learning (DRL)-based deep deterministic policy gradient (DDPG) offered improved control of the telepresence robot to provide assistance to the teleoperator during the delayed communication control signals. The proposed approach can stabilize the system in aid of the teleoperator by taking the delayed signal term out of the main controlling framework, along with the sensed IOT infrastructure. In a dynamic IoT-enabled healthcare context, our suggested approach to operating the telepresence robot can effectively manage the 30 s delayed signal. Simulations and physical experiments in a real-time healthcare environment with human teleoperators demonstrate the implementation of the proposed method.

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Section: Literature Reviewmentioning

confidence: 99%

Telepresence Robot with DRL Assisted Delay Compensation in IoT-Enabled Sustainable Healthcare Environment

2023

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“…For this purpose, the steering value of PWM = −75 is used in Equation ( 16). There is a steering angle δ of δ = a + b • PW M = 9.10034 × 10 −3 + 2.22607 × 10 −3 • (−75) = −0.1579 = −9.04 (22) Inserting this into Equation ( 13), we obtain the expected change in orientation as follows:…”

Section: Determination Of the Dynamics Of The Steering Trainmentioning

confidence: 99%

“…Each environment has different protocols to maximize performance and minimize security threats. In [22], the authors devised methods to enhance security in IoT-enabled environments. Secure routing planning methods have been suggested by [23,24].…”

mentioning

confidence: 99%

Orientation Control Design of a Telepresence Robot: An Experimental Verification in Healthcare System

et al. 2023

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Automation in the modern world has become a necessity for humans. Intelligent mobile robots have become necessary to perform various complex tasks in healthcare and industry environments. Mobile robots have gained attention during the pandemic; human–robot interaction has become vibrant. However, there are many challenges in obtaining human–robot interactions regarding maneuverability, controllability, stability, drive layout and autonomy. In this paper, we proposed a stability and control design for a telepresence robot called auto-MERLIN. The proposed design simulated and experimentally verified self-localization and maneuverability in a hazardous environment. A model from Rieckert and Schunck was initially considered to design the control system parameters. The system identification approach was then used to derive the mathematical relationship between the manipulated variable of robot orientation control. The theoretical model of the robot mechanics and associated control were developed. A design model was successfully implemented, analyzed mathematically, used to build the hardware and tested experimentally. Each level takes on excellent tasks for the development of auto-MERLIN. A higher level always uses the services of lower levels to carry out its functions. The proposed approach is comparatively simple, less expensive and easily deployable compared to previous methods. The experimental results showed that the robot is functionally complete in all aspects. A test drive was performed over a given path to evaluate the hardware, and the results were presented. Simulation and experimental results showed that the target path is maintained quite well.

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“…The blockchain network is a promising choice for trust management because it has been present and active in several research areas, including wireless networks [50] and the IoT [51][52][53]. The UAV ad-hoc network's resource restriction is essential for developing a trust management system that makes use of the decentralised blockchain.…”

Section: Blockchain Technologymentioning

confidence: 99%

Enhancement of UAV Data Security and Privacy Via Ethereum Blockchain Technology

Singh Rawat,

Alotaibi,

Malsa

et al. 2023

Computers, Materials &Amp; Continua

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Unmanned aerial vehicles (UAVs), or drones, have revolutionized a wide range of industries, including monitoring, agriculture, surveillance, and supply chain. However, their widespread use also poses significant challenges, such as public safety, privacy, and cybersecurity. Cyberattacks, targeting UAVs have become more frequent, which highlights the need for robust security solutions. Blockchain technology, the foundation of cryptocurrencies has the potential to address these challenges. This study suggests a platform that utilizes blockchain technology to manage drone operations securely and confidentially. By incorporating blockchain technology, the proposed method aims to increase the security and privacy of drone data. The suggested platform stores information on a public blockchain located on Ethereum and leverages the Ganache platform to ensure secure and private blockchain transactions. The MetaMask wallet for Ethbalance is necessary for BCT transactions. The present research finding shows that the proposed approach's efficiency and security features are superior to existing methods. This study contributes to the development of a secure and efficient system for managing drone operations that could have significant applications in various industries. The proposed platform's security measures could mitigate privacy concerns, minimize cyber security risk, and enhance public safety, ultimately promoting the widespread adoption of UAVs. The results of the study demonstrate that the blockchain can ensure the fulfillment of core security needs such as authentication, privacy preservation, confidentiality, integrity, and access control.

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Intelligent Adaptive Optimisation Method for Enhancement of Information Security in IoT-Enabled Environments

Cited by 5 publications

References 38 publications

Telepresence Robot with DRL Assisted Delay Compensation in IoT-Enabled Sustainable Healthcare Environment

Telepresence Robot with DRL Assisted Delay Compensation in IoT-Enabled Sustainable Healthcare Environment

Orientation Control Design of a Telepresence Robot: An Experimental Verification in Healthcare System

Enhancement of UAV Data Security and Privacy Via Ethereum Blockchain Technology

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