Journal of Autonomous Intelligence

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Blockchain Internet of Things (BIoT) for Secure and Real Time Monitoring

Submission deadline: 2023-08-31

Special Issue Editors

Dr. Nitin Goyal

Department of Computer Science and Engineering, Central University of Haryana, Mahendragarh, Haryana 123031, India

Interests: UWSN WSN; IoT; ML; DL; Blockchain

Dr. Arun Kumar Rana

Department of Computer Science and Engineering, Galgotias College of Engineering & Technology, Greater Noida, Uttar Pradesh 201310, India

Interests: Blockchain; Energy management through IoT; WSN; Image processing

Dr. Ravinder Kumar

Skill Faculty of Engineering & Technology, Shri Vishwakarma Skill University, Haryana, India

Interests: Blockchain; Energy management through IoT; WSN; Image processing

Special Issue Information

Dear Colleagues,

Blockchain Internet of Things (BIoT) is a new buzz word in the modern digital world that is playing a significant role in many different types of advanced service systems, providing greater convenience and better efficiency/effectiveness by intelligently controlling system hardware in a way that humans have never experienced. IoT enables devices across the Internet to send data to private blockchain networks to create tamper-resistant records of shared transactions. BIoT helps in Operational maintenance, Freight transportation, Pharmacy, Smart homes, Supply chain management, Insurance to benefit Lower costs, improved security, Quick data change, Streamlined finances, Efficient supply chain. In the upcoming era, where improved service function and sophistication have turned into a crucial feature in a keen completion, BIoT considers the challenges Scalability, Security risks, Sensor reliability, Computing power and time required, Network privacy and transaction confidentiality. As a result, this Special Issue (SI) concentrates on its influences on human civilization and offers a forum for discussions on pertinent convergence technologies. After selecting an appropriate topics from the list below, or by choosing another if necessary, manuscripts may address the technological elements, usability, and contributing components of their specific BIoT-based electronic solutions.

• Authentication management of blockchain-enabled IoT systems;

• Edge/cloud computing for blockchain-enabled IoT;

• Software-defined networks for blockchain-enabled IoT systems;

• Network slicing mechanisms for blockchain-enabled IoT systems;

• Service computing for blockchain-enabled IoT;

• Big data analytics in blockchain-enabled IoT systems;

• Blockchain-based solutions to security, privacy and trust of IoT systems;

• Novel machine learning/deep learning approaches for blockchain-enabled IoT systems;

• Authentication management of blockchain-enabled IoT systems;

• Edge/cloud computing for blockchain-enabled IoT;

• Software-defined networks for blockchain-enabled IoT systems;.

• Network slicing mechanisms for blockchain-enabled IoT systems;

• Service computing for blockchain-enabled IoT;

• Big data analytics in blockchain-enabled IoT systems;

• Blockchain-based solutions to security, privacy and trust of IoT systems;

• Novel machine learning/deep learning approaches for blockchain-enabled IoT systems;

Dr. Nitin Goyal

Dr. Arun Kumar Rana

Guest Editors

Keywords

Blockchain; Security; Machine learning; Internet of Things; Decentralization

Published Paper

Enhance traffic flow prediction with Real-Time Vehicle Data Integration

Rishabh Jain;Sunita Dhingra;Kamaldeep Joshi;Arun Kumar Rana;Nitin Goyal;

Mathematical modeling and parameter analysis of quantum antenna for IoT sensor-based biomedical applications

Ram Krishna;Arun Kumar Rana;Harendra Singh;Nitin Goyal;Ravinder Kumar;Rajveer Singh Yaduvanshi;

In this paper, an equivalent combination of series and parallel R-L-C high-pass filter circuit is derived for a nano (quantum) antenna for the Internet of thing (IoT) based sensors for speedy data or organ image displaying in medical line surgeries. The proposed method utilized the sample frequency behavior of characteristics mode to develop a fundamentalÂ building block thatÂ superimposesÂ toÂ createÂ theÂ complete response. The resonance frequency, input impedance, and quality factor have been evaluated along with basic and higher-order resonating modes. The relation between quality factor, bandwidth, resonance frequency, and selectivity for higher order, increases the quantum circuits in terms of increased order of a filter, quality factor, and odd and even harmonics factors. Therefore, the basic circuits derivation factor of frequency coefficients are expanded in terms of polynomials and then they are expressed as a simple rational function from which the basic circuit parameters are calculated. In this circuit input impedance of each circuitâ€™s element is complex. The real part of input impedance depends on frequency, depending on the frequency positive or negative value of the resistor, and the imaginary part of impedance modelling an inductor or capacitor due to the value of frequency. At cutoff frequency 511 THz, z11 and VSWR parameters are 34 â„¦ and 1.11, respectively. The proposed quantum DRA is tested at 5 THz, 10 THz, and 500 THz by calculating the electrical parameters like R, L, C and model performance is quite good as compared to existing ones. The dynamic impedance is dependent on the skin effect and enhances the detailed discussion below. The utilization of optical or quantum DRAs is as optical sensors in biomedical engineering, speedy wireless communication, and optical image solutions. Analyte material has been used for monitoring frequency deviation.

PCSVD: A hybrid feature extraction technique based on principal component analysis and singular value decomposition

Vineeta Gulati;Neeraj Raheja;

Feature extraction plays an important role in accurate preprocessing and real-world applications. High-dimensional features in the data have a significant impact on the machine learning classification system.Relevant feature extraction is a fundamental step not only to reduce the dimensionality but also to improve the performance of the classifier. In this paper, the author proposes a hybrid dimensionality reduction technique using principal component analysis (PCA) and singular value decomposition (SVD) in a machine classification system with a support vector classifier (SVC). To evaluate the performance of PCSVD, the results are compared without using feature extraction techniques or with existing methods of independent component analysis (ICA), PCA, linear discriminant analysis (LDA), and SVD. In addition, the efficiency of the PCSVD method is measured on an increased scale of 1.54% accuracy, 2.70% sensitivity, 3.71% specificity, and 3.58% precision. In addition, reduce the 15% dimensionality and 40.60% RMSE, which are better than existing techniques found in the literature.

A Blockchain-based secure Internet of Medical Things framework for smart healthcare

Surjeet Dalal;Umesh Kumar Lilhore;Sarita Simaiya;Ashish Sharma;Vivek Jaglan;Manish Kumar;Monika Jangra;Nitin Goyal;Arun Kumar Rana;

An Enhanced Distributed Framework for Real-time Performance Testing of Large Scale IoT Dataset Using Big Data Analytic Tools

Vijay Hasanpuri;Chander Diwaker;

A Blockchain Integrated Model for Predicting Breast Cancer Disease enabled by Internet of Things and Real Time Monitoring Devices

Deepti Sharma;Rajneesh Kumar;Anurag Jian;

An Efficient Framework for Secure Data Monitoring and Device Identification Management using Blockchain in IoT Environment

Shyama Barna Bhattacharjee;Shivam Gangwar;Manish Kumar;Kirti Saini;Rashmi Saini;Shivani Chauhan;Krishna Pandey;Richard Essah;Nitin Goyal;

Self-adaptive Credit-based Framework for Blockchain-based IoT (BIoT)

Ritu Baniwal;Sunita Rani;Rashi Rastogi;Priyanka Priyanka;Anju Jain;Shashikant Madia;

POBMEC: Partial Offloading- Blockchain enabled Mobile Edge Computing based on Load balancing framework for resource management at mobile computing devices.

Chander Diwaker;Aarti Sharma;

Editor-in-Chief

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