Arnab Mitra

Scopus Publications

A Cost-effective Data Security Approach in Agriculture x Involving Blockchains and AI
Arnab Mitra, Anabik Pal
Blockchain and AI for Security and Privacy in Smart Agriculture, 2026
A record management policy in Healthcare 5.0 with Blockchain technology and machine learning
Arnab Mitra, Sujit Kumar Chakravarty, Anabik Pal
AI and Data Science in Healthcare 5 0, 2026
An IoT-based Model for Air Quality Monitoring to Enable Telehealth for Asthma Patients Facilitating a Way to Healthcare 5.0
Annasha Dhar, Sunanda Samanta, Aniruddha Mandal, Priya Roy, Satyabrata Maity, Kamalesh Karmakar, Arnab Mitra
Transforming Healthcare with AI and Iot Intelligent Solutions for A Digital Future, 2026
Advances in Information and Communication Technologies (ICT) have resulted in a new era of Industry 5.0 primarily promotes a human-centered design paradigm, design sustainability, and environment-friendliness. The popularity of Industry 5.0 concepts has influenced the progress of Healthcare 4.0 into Healthcare 5.0. Among several other benefits of Healthcare 5.0, telehealth enables users to interact with patient-caregivers, such as doctors, from a distance, primarily using Internet-based technologies. Telehealth often facilitates remote monitoring and analysis of real-time patients’ data, e.g., heart rate, blood pressure, etc. To facilitate telehealth-based applications, we choose to focus on the design of an air quality monitoring (AQM) system, as air quality monitoring is very important in highly populated urban regions, where vulnerable groups of the population suffer from asthma diseases and are more susceptible to airborne pollutant exposure. This chapter presents a design of an Internet of Things (IoT)-based air quality monitoring device with a smartphone connectivity facility, particularly focusing on the efficient detection of a few key pollutants, e.g., Carbon Dioxide (CO2), Nitrogen Dioxide (NO2), humidity, and temperature. To enhance the reliability of the accurate assessment and prediction of pollutant levels, several Machine Learning (ML) algorithm-based approaches were incorporated into the presented model. Further, delivering live alarms about the surrounding air condition is also considered.
On signal encryption at MapReduce and collaborative attribute-based access with ECAs for a preprocessed data set with ML in a privacy-preserving health 4.0
Arnab Mitra, Anabik Pal
E Prime Advances in Electrical Engineering Electronics and Energy, 2025
• It presents ML-based data preprocessing in PPH 4.0 for an effective dimensionality reduction. • It presents signal encryption at MapReduce and collaborative attribute-based access with ECAs for the preprocessed data set with ML in PPH 4.0 for enhanced data security and privacy. • It presents four new algorithms in PPH 4.0 to support ML-based data preprocessing, signal encryption at MapReduce, and collaborative attribute-based access with ECAs. Latest Industry 4.0 developments and data science advances have transformed traditional hospital-centric patient care into a Healthcare 4.0 system that uses advanced technology-driven decision-making involving several low resource constraints electronic devices such as Personal Digital Assistants (PDAs), Smartphones, Tablets, etc. In a healthcare system, the data is the key fuel for such improved technology, which presently is an instance of big data. However, due to several data protection laws and regulations, the confidentiality and security of healthcare data are a big concern. To support the cost-effectiveness modeling of data security and privacy in Healthcare 4.0 scenarios, the Privacy-Preserving Health 4.0 (PPH 4.0) framework was proposed by integrating Machine Learning (ML) and Elementary Cellular Automata (ECAs). The ML techniques were proposed to offer effective data pre-processing and dimensionality reduction. In contrast, ECAs were proposed to offer an integral parallelism and very-large-scale-integration (VLSI) capability at a low cost for its physical implementation and low power consumption towards data security and privacy of such big data in PPH 4.0. The presented research presents signal encryption at MapReduce with ECAs generated pseudo-random noise signal and collaborative attribute-based access with ECAs for a preprocessed data set with ML in PPH 4.0. Experimental results and analysis of the proposed approach reveal its true nature and suitability are for an enhanced Healthcare 4.0 system, i.e., PPH 4.0.
On Tuning the Randomness in the Random Forest Algorithm for Performance Enhancement Towards Fake Profile Detection in Online Social Platforms
Tanya Singh, Priyanshu, Dhruv Raj, Piyush Kumar Byahut, Kamalesh Karmakar, Arnab Mitra
2025 International Conference in Advances in Power Signal and Information Technology Apsit 2025, 2025
The increased popularity of online social networking platforms has positively and negatively impacted users (humans). Among several others, one significant concern is the presence of fake profiles, which may harm users’ experience and trust. To deal with such an issue, we present our research to focus on detecting counterfeit profiles in online social networking platforms. As an instance of such an online platform, we choose Instagram. In our presented research, we have used a supervised Machine Learning Algorithm known as the Random Forest (RF) due to its flexibility and strength towards ensemble learning technique that is especially useful for classification and regression-related tasks. In our proposed approach, we precisely focus on the possible enhancement of the accuracy and efficiency of the fake profile detection technique with enhanced randomness achieved through seed selection. Experimental results confirm that the proposed model achieved 98.71 percent accuracy, an F1-score of 0.96, and an improved Recall value of 97 percent (from 85 percent), which ensures better detection of fake profiles compared to the Baseline Random Forest model.
Mitrika: IoT-Based Fertilization, Watering, and Crop Health Monitoring System for Precision Agriculture
Aastha Saha, Pranay Das, Suvranshu Chowdhury, Bipasha Talukder, Arnab Mitra, Chinmoy Ghorai, Satyabrata Maity
Agritech Revolution Next Gen Solutions and Challenges in Modern Agriculture, 2025
Cellular automata-based MapReduce design: Migrating a big data processing model from Industry 4.0 to Industry 5.0
Arnab Mitra
E Prime Advances in Electrical Engineering Electronics and Energy, 2024
A successful deployment of Industry 5.0 is significantly dependent on the synergetic integration of several advanced technologies such as big data processing, Artificial Intelligence (AI) integration, and several effective digitization techniques that emphasize the uses of Robotics, Internet of Things (IoTs), Cloud Computing, etc. with active participations from human workers. Several researchers have explored the importance of big data processing in view of Industry 4.0 as it facilitated enhanced production at any smart manufacturing line by ensuring efficient process management, typically involving big data processing. Researchers presented several MapReduce-based data processing models at smart manufacturing lines to facilitate big data processing. Among several others, the Elementary Cellular Automata (ECAs)-based MapReduce model was introduced as an energy-efficient low-cost model for big data processing in view of the Industry 4.0 scenario. In the present research, an investigation is further proposed to explore the true potential (if any) for the ECAs-based MapReduce model with reference to available several MapReduce models, to migrate an existing big data processing model from Industry 4.0 into the future i.e., Industry 5.0. Investigation results as achieved from the comparison among several MapReduce models and further examinations about the inherent quality of shuffle in those MapReduce blocks, explore the inherent advantages of ECAs-based MapReduce model towards its choice for big data processing in Industry 5.0 scenario.
How Can We Enhance Data Security in Digital Twin-Enabled IoT Networks: A Proposal with ECAs Toward Prime Out-degree Finding of PageRank Regular Digraph in Blockchain
Apsareena Zulekha Shaik, Arnab Mitra
Blockchain and Digital Twin Enabled Iot Networks Privacy and Security Perspectives, 2024
Digital Twin technology is best explained as the effortless assimilation of data between a physical and simulated machine in one or the other direction. Thus, the Digital Twin may facilitate the Industry 4.0 revolution through the incorporation of Internet of Things (IoT) connectivity. The increased real-time high-volume data generated by the IoT may seamlessly be handled by the Digital Twin. On the other hand, Blockchain Technology is considered an effective data security and privacy solution. For this reason, the uses of Blockchains might be realised in a variety of applications, e.g., IoT-based applications, Cryptocurrency, Insurance, eHealth, Smart City, etc. Due to its popularity, an emphasis may be observed on the advancements of existing Blockchain Technology. To support the ongoing security and privacy advancements in IoT-based networks with Digital Twin, an enhanced design in Blockchain Technology has been presented in this chapter incorporating the Elementary Cellular Automata (ECAs), as ECAs-based design supports inherent parallel computing capability, design simplicity, and low energy requirements at its physical implementation. In this chapter, the application suitability of ECAs-based design towards Blockchain Technology is initially investigated, and finally, a detailed design with ECAs toward the PageRank regular digraph (directed graph) with prime out-degrees is presented as a possible enhancement toward the Blockchain Technology. Detailed investigations further confirm the application suitability of ECAs as an energy and cost-effective model for an enhanced design in Blockchain Technology involving a cost-effective search for prime out-degrees in PageRank regular digraph towards Digital Twin enabled IoT networks.
PPH 4.0: a privacy-preserving health 4.0 framework with machine learning and cellular automata
Arnab Mitra, Anabik Pal
Data Science in the Medical Field, 2024
A OTP-Based Lightweight Authentication Scheme in Python Toward Possible Uses in Distributed Applications
Anishka Chauhan, Arnab Mitra
Lecture Notes in Networks and Systems, 2023
How can we enhance reputation in Blockchain consensus for Industry 4.0–A proposed approach by extending the PageRank algorithm
Arnab Mitra
International Journal of Information Management Data Insights, 2022
An Approach to Detect Fake Profiles in Social Networks Using Cellular Automata-Based PageRank Validation Model Involving Energy Transfer
Arnab Mitra, Anirban Kundu, Matangini Chattopadhyay, Avishek Banerjee
SN Computer Science, 2022
On type D fuzzy cellular automata-based mapreduce model in industry 4.0
Arnab Mitra
Industrial Transformation Implementation and Essential Components and Processes of Digital Systems, 2022
On Boundary-Effects at Cellular Automata-Based Road-Traffic Model Towards Uses in Smart City
Arnab Mitra
Smart Innovation Systems and Technologies, 2022
On the capabilities of Cellular Automata-based MapReduce model in Industry 4.0
Arnab Mitra
Journal of Industrial Information Integration, 2021
On the Exploration of the Natural Sequence of Primes With Cellular Automata Targeting Enhanced Data Security and Privacy
Arnab Mitra
International Journal of Cognitive Informatics and Natural Intelligence, 2021
A Design Towards an Energy-Efficient and Lightweight Data Security Model in Fog Networks
Arnab Mitra, Sayantan Saha
Smart Innovation Systems and Technologies, 2021
An energy-efficient data routing in weight-balanced tree-based fog network
Sayantan Saha, Arnab Mitra
Smart Innovation Systems and Technologies, 2021
An Integrated Application of IoT-Based WSN in the Field of Indian Agriculture System Using Hybrid Optimization Technique and Machine Learning
Avishek Banerjee, Arnab Mitra, Arindam Biswas
Agricultural Informatics Automation Using the Iot and Machine Learning, 2021
A Power Optimization Technique for WSN with the Help of Hybrid Meta-heuristic Algorithm Targeting Fog Networks
Avishek Banerjee, Victor Das, Arnab Mitra, Samiran Chattopadhyay, Utpal Biswas
Smart Innovation Systems and Technologies, 2021
On Investigating Energy Stability for Cellular Automata Based PageRank Validation Model in Green Cloud
Arnab Mitra
International Journal of Cloud Applications and Computing, 2019
Selection of Cost-Effective Prime Source towards Possible Uses in Fog Computing
Arnab Mitra
Proceedings 2nd International Conference on Data Science and Business Analytics Icdsba 2018, 2018
A cost-efficient one time password-based authentication in cloud environment using equal length cellular automata
Arnab Mitra, Anirban Kundu, Matangini Chattopadhyay, Samiran Chattopadhyay
Journal of Industrial Information Integration, 2017
On the independence of cycles produced with uniform and heterogeneous ELCAs
Horia-Nicolai Teodorescu, Arnab Mitra
IEEE International Conference on Communications, 2016
Investigating scopes for automata based designs targeting image security in health system
Arnab Mitra
2015 E Health and Bioengineering Conference Ehb 2015, 2016
On the selection of cellular automata based prng in code division multiple access communications
Arnab MITRA
Studies in Informatics and Control, 2016
Detailed analysis of equal length cellular automata with fixed boundaries
Journal of Cellular Automata, 2016
Analysis of sequences generated by ELCA-type Cellular Automata targeting noise generation
Arnab Mitra, Anirban Kundu
2015 19th International Conference on System Theory Control and Computing Icstcc 2015 Joint Conference Sintes 19 Saccs 15 Simsis 19, 2015
An analysis of equal length cellular automata (ELCA) generating linear rules for applications in distributed computing
Journal of Cellular Automata, 2015
Energy efficient task-pull scheduling using equal length cellular automata in distributed computing
Arnab Mitra, Anirban Kundu, Matangini Chattopadhyay
Proceedings 4th International Conference on Emerging Applications of Information Technology Eait 2014, 2014
Cost optimized random sampling in cellular automata for digital forensic investigations
Arnab Mitra, Anirban Kundu
Studies in Computational Intelligence, 2014
Cost effective PRNG using ELCA: A BIST application
Arnab Mitra, Anirban Kundu, Chandra Das
1st International Conference on Automation Control Energy and Systems 2014 Aces 2014, 2014
CA based cost optimized PRNG for Monte-Carlo simulation of distributed computation
Arnab Mitra, Anirban Kundu
ACM International Conference Proceeding Series, 2012
Cost optimized approach to random numbers in cellular automata
Arnab Mitra, Anirban Kundu
Advances in Intelligent and Soft Computing, 2012
A new approach in dynamic prediction for user based Web page crawling
Anirban Kundu, Sutirtha Kr. Guha, Arnab Mitra, Tapas Mukherjee
Proceedings of the International Conference on Management of Emergent Digital Ecosystems Medes 10, 2010
Memory utilization in cloud computing using transparency
A Kundu, C Banerjee, S K Guha, A Mitra, S Chakraborty, C Pal, R Roy
Proceeding 5th International Conference on Computer Sciences and Convergence Information Technology Iccit 2010, 2010

RECENT SCHOLAR PUBLICATIONS

Stay-Safer: An IoT-based Remote Monitoring System for Elderly Assistance
A Dey, K Bag, A Mitra, K Karmakar, S Maity
Advancing Healthcare with the Medical Internet of Things: Revolutionizing … , 2026
2026
A Cost-effective Data Security Approach in Agriculture x Involving Blockchains and AI
A Mitra, A Pal
Blockchain and AI for Security and Privacy in Smart Agriculture, 102-123 , 2026
2026
Industrial Revolutions: Revisiting Past, Present, and a Road Map to the Future and Its Impact on Healthcare, Agriculture, Education, and Society
A Mitra
Industry 5.0 and Sustainable Development: Theoretical Foundations and … , 2026
2026
An IoT-based Model for Air Quality Monitoring to Enable Telehealth for Asthma Patients: Facilitating a Way to Healthcare 5.0
A Dhar, S Samanta, A Mandal, P Roy, S Maity, K Karmakar, A Mitra
Transforming Healthcare With AI And IoT: Intelligent Solutions for a Digital … , 2026
2026
A record management policy in Healthcare 5.0 with Blockchain technology and machine learning
A Mitra, SK Chakravarty, A Pal
AI and Data Science in Healthcare 5.0, 161-180 , 2026
2026
A System and method for generating Hash values in Blockchains with Palindrome Primes using Cellular Automata
A Mitra
IN Patent App. 202531021547 dated March 10, 2,025 , 2026
2026
Mitrika: IoT-Based Fertilization, Watering, and Crop Health Monitoring System for Precision Agriculture
A Saha, P Das, S Chowdhury, B Talukder, A Mitra, C Ghorai, S Maity
AgriTech Revolution, 69-88 , 2025
2025
Data set to paper "An approach to detect fake profiles in Social Networks involving an Entropy-based Naive Bayes classifier."
S Ghosh, Armogan, S Sahil, A Maity, K Karmakar, A Mitra
https://doi.org/10.17632/5bk45pywnz.1 , 2025
2025
On Tuning the Randomness in the Random Forest Algorithm for Performance Enhancement Towards Fake Profile Detection in Online Social Platforms
T Singh, Priyanshu, D Raj, PK Byahut, K Karmakar, A Mitra
2025 International Conference in Advances in Power, Signal, and Information … , 2025
2025
Citations: 2
On signal encryption at MapReduce and collaborative attribute-based access with ECAs for a preprocessed data set with ML in a Privacy-Preserving Health 4.0
A Mitra, A Pal
e-Prime - Advances in Electrical Engineering, Electronics and Energy, 100983 , 2025
2025
Citations: 1
Towards fake profiles identification in social networks: a proposal with energy-based PageRank algorithm involving entropy and domain authority
K Varshitha, SV Talada, A Mitra
Risk Sciences, 100013 , 2025
2025
Citations: 4
PPH 4.0: a privacy-preserving health 4.0 framework with machine learning and cellular automata
A Mitra, A Pal
Data Science in the Medical Field, 1-14 , 2024
2024
Citations: 2
Cellular Automata-based MapReduce design: migrating a big data processing model from Industry 4.0 to Industry 5.0
A Mitra
e-Prime-Advances in Electrical Engineering, Electronics and Energy, 100603 , 2024
2024
Citations: 12
Indoor Air Quality Monitoring System for Asthma Patients
A Banerjee, RP Sah, S Metia, A Chakraborty, A Mitra, T Bhowmik
International Conference on Security, Surveillance and Artificial … , 2024
2024
Citations: 1
How Can We Enhance Data Security in Digital Twin-Enabled IoT Networks: A Proposal with ECAs Toward Prime Out-degree Finding of PageRank Regular Digraph in Blockchain
AZ Shaik, A Mitra
Blockchain and Digital Twin Enabled IoT Networks, 133-151 , 2024
2024
A OTP-Based Lightweight Authentication Scheme in Python Toward Possible Uses in Distributed Applications
A Chauhan, A Mitra
Proceedings of International Conference on Data Science and Applications … , 2023
2023
Citations: 2
How can we enhance reputation in Blockchain consensus for Industry 4.0–A proposed approach by extending the PageRank algorithm
A Mitra
International Journal of Information Management Data Insights 2 (2), 100138 , 2022
2022
Citations: 17
System and method for implementing Lightweight Authentication in a Fog Computing Network
A Chauhan, A Mitra
IN Patent 577,172 , 2022
2022
An Approach to Detect Fake Profiles in Social Networks Using Cellular Automata-Based PageRank Validation Model Involving Energy Transfer
A Mitra, A Kundu, M Chattopadhyay, A Banerjee
SN Computer Science 3 (6), 423 , 2022
2022
Citations: 8
On Boundary-Effects at Cellular Automata-Based Road-Traffic Model Towards Uses in Smart City
A Mitra
Intelligent and Cloud Computing, 111-120 , 2022
2022
Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

A cost-efficient One Time Password-based authentication in Cloud environment using Equal Length Cellular Automata
A Mitra, A Kundu, M Chattopadhyay, S Chattopadhyay
Journal of Industrial Information Integration 5, 17-25 , 2017
2017
Citations: 51
On the capabilities of Cellular Automata-based MapReduce model in Industry 4.0
A Mitra
Journal of Industrial Information Integration 21, 100195 , 2021
2021
Citations: 24
An Integrated Application of IoT-Based WSN in the Field of Indian Agriculture System Using Hybrid Optimization Technique and Machine Learning
A Banerjee, A Mitra, A Biswas
Agricultural Informatics: Automation Using the IoT and Machine Learning, 171-188 , 2021
2021
Citations: 19
How can we enhance reputation in Blockchain consensus for Industry 4.0–A proposed approach by extending the PageRank algorithm
A Mitra
International Journal of Information Management Data Insights 2 (2), 100138 , 2022
2022
Citations: 17
Energy Efficient CA based Page Rank Validation Model: A Green Approach in Cloud
A Mitra, A Kundu
International Journal of Green Computing (IJGC) 8 (2), 59-76 , 2017
2017
Citations: 16
On investigating energy stability for Cellular Automata based PageRank validation model in Green Cloud
A Mitra
International Journal of Cloud Applications and Computing (IJCAC) 9 (4), 66-85 , 2019
2019
Citations: 13
Detailed Analysis of Equal Length Cellular Automata with Fixed Boundaries
A Mitra, HN Teodorescu
Journal of Cellular Automata 11 (5-6), 425-448 , 2016
2016
Citations: 13
Page Ranking Validation using Cellular Automata in Cloud
A Mitra, A Kundu
International Journal of Cloud Applications and Computing (IJCAC) 5 (3), 1-19 , 2015
2015
Citations: 13
Cost optimized approach to random numbers in cellular automata
A Mitra, A Kundu
Advances in Computer Science, Engineering & Applications: Proceedings of the … , 2012
2012
Citations: 13
Cellular Automata-based MapReduce design: migrating a big data processing model from Industry 4.0 to Industry 5.0
A Mitra
e-Prime-Advances in Electrical Engineering, Electronics and Energy, 100603 , 2024
2024
Citations: 12
Analysis of sequences generated by ELCA-type cellular automata targeting noise generation
A Mitra, A Kundu
2015 19th International Conference on System Theory, Control and Computing … , 2015
2015
Citations: 12
Cost optimized set of Primes Generation with Cellular Automata for Stress Testing in Distributed Computing
A Mitra, A Kundu
Procedia Technology 10, 365-372 , 2013
2013
Citations: 12
Memory utilization in cloud computing using transparency
A Kundu, C Banerjee, SK Guha, A Mitra, S Chakraborty, C Pal, R Roy
5th International Conference on Computer Sciences and Convergence … , 2010
2010
Citations: 12
On the Exploration of Equal Length Cellular Automata Rules Targeting a MapReduce Design in Cloud
A Mitra, A Kundu, M Chattopadhyay, S Chattopadhyay
International Journal of Cloud Applications and Computing (IJCAC) 8 (2), 1-26 , 2018
2018
Citations: 11
An Analysis of Equal Length Cellular Automata (ELCA) generating Linear Rules for Applications in Distributed Computing
A Mitra, A Kundu, M Chattopadhyay, S Chattopadhyay
Journal of Cellular Automata 10 (1-2), 95-117 , 2015
2015
Citations: 9
An Approach to Detect Fake Profiles in Social Networks Using Cellular Automata-Based PageRank Validation Model Involving Energy Transfer
A Mitra, A Kundu, M Chattopadhyay, A Banerjee
SN Computer Science 3 (6), 423 , 2022
2022
Citations: 8
Cost optimized design technique for pseudo-random numbers in cellular automata
A Mitra, A Kundu
International Journal of Advanced Information Technology 2 (3), 21 , 2012
2012
Citations: 7
Towards exploration of Green computing in energy efficient optimized algorithm for uses in Fog Computing
S Saha, A Mitra
ICICCT 2019–System Reliability, Quality Control, Maintenance and Management … , 2019
2019
Citations: 6
On the Selection of Cellular Automata based PRNG in Code Division Multiple Access Communications
A Mitra
Studies in Informatics and Control 25 (2), 217-226 , 2016
2016
Citations: 6
Cost effective PRNG using ELCA: A BIST application
A Mitra, A Kundu, C Das
2014 First International Conference on Automation, Control, Energy and … , 2014
2014
Citations: 6

Arnab Mitra

RESEARCH, TEACHING, or OTHER INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS