Joy Dutta

@kiit.ac.in

Assistant Professor, School of Computer Engineering, KIIT Deemed to be University
KIIT University

Joy Dutta


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https://researchid.co/joydutta
Dr. Joy Dutta is presently working as an Assistant Professor in the School of Computer Engineering, Bhubaneswar, Orissa, India. He holds a BSc degree in Physics (Honours), followed by Post BSc BTech and MTech in Computer Science & Engineering from Calcutta University. He is a recipient of Government of India’s prestigious full-time Research Fellowship, viz., “Visvesvaraya PhD Fellowship” of Ministry of Electronics & Information Technology (MeitY) for pursuing his full-time research from the Department of Computer Science and Engineering, Jadavpur University and has received his PhD (Engg.) Degree in February 2022.

Dr. Dutta has the exposure of working in both the industry as well as in academia. He is a member of IEEE and an active researcher in the field of IoT and related applications for social good. He has rich experience in the domain of Cloud Computing, Machine Learning, Artificial Intelligence, Data Analytics and Smart City based applications.

EDUCATION

Dr. JOY DUTTA did his B.Sc in Physics, followed by Post B.Sc B.Tech and M.Tech in Computer Science & Engineering from Calcutta University. He is is the recipient of Government of India’s prestigious full-time Research Fellowship, namely “Visvesvaraya PhD Fellowship” of Ministry of Electronics & IT (MeitY) for pursuing his full-time research from the Department of Computer Science and Engineering, Jadavpur University and has received his PhD (Engg.) Degree in February 2022.

RESEARCH INTERESTS

IoT, Machine Learning, Data Analytics, Cloud Computing, Smart City
30

Scopus Publications

947

Scholar Citations

16

Scholar h-index

19

Scholar i10-index

Scopus Publications

  • Explainable AI-Enabled Privacy-Preserving Query Processing on Blockchain Ledgers With Statistical Metadata
    Joy Dutta, Deepak Puthal
    IEEE Transactions on Services Computing, 2026
    Blockchain has gained increasing attention for managing eHealth data, yet most existing ledger designs face fundamental challenges in simultaneously enforcing strict privacy protections, enabling low-latency data queries, and supporting transparent AI-driven decision-making. This paper proposes a novel blockchain ledger architecture integrating Explainable Artificial Intelligence (XAI) through SHapley Additive exPlanations (SHAP) and statistical metadata for privacy-preserving and efficient query processing in eHealth applications. Our method introduces dynamic, expert-informed sensitivity classification and interpretable SHAP values directly embedded in block headers. The integration significantly reduces query data requirements by approximately 99.78%, maintaining patient data privacy through role-based access control and metadata-driven querying. Empirical validation in an IoMT-enabled healthcare scenario confirms substantial query efficiency, preserving privacy and transparency improvements, justifying the computational overhead associated with metadata creation. The results highlight the practical utility and robustness of our proposed blockchain architecture for rapid clinical decision-making.
  • Agentic AI for Dynamic EV Charging: Explainable Coordination of Fixed Charging Stations and Mobile Charging Vehicles
    Joy Dutta
    IEEE Network, 2026
    Electric vehicle charging is becoming an operations problem as much as an infrastructure problem. Fixed charging stations provide essential base capacity, but they are spatially rigid and often mismatched to short-term demand surges caused by traffic, events, and local disruptions. Mobile charging vehicles add flexibility, yet coordinating fixed and mobile assets at city scale remains difficult for conventional optimization and reinforcement learning alone. This article argues that agentic AI can serve as a bounded orchestration layer above existing scheduling and control methods. We present a practical architecture in which LLM-based planning agents translate user preferences, operator goals, and policy constraints into verified tasks for lower-level schedulers and controllers managing both fixed charging stations and mobile charging vehicles. We also discuss explainability, human oversight, deployment challenges, and a lightweight simulator-based case study comparing bounded LLM-assisted coordination against deterministic baselines under routine and stress conditions. The goal is not to replace domain-specific models but to make dynamic EV charging more transparent, adaptable, and easier to align with transport, grid, and public-interest objectives.
  • ProTSF: IoT-Based Outdoor Air Pollution Forecasting Using Bayesian Optimization-Based LSTM
    Joy Dutta, Ch Madhu Bhushan, Firoj Gazi, Md Muzakkir Hussain
    Lecture Notes in Networks and Systems, 2026
  • Next-Generation Security in the 6G Era: The Role of AI in Safeguarding Future Networks
    Ramesh Kumar, Joy Dutta, N Vamsi, Uma Sankararao Varri, Deepak Puthal
    IEEE Access, 2026
    The integration of Artificial Intelligence (AI) into sixth-generation (6G) networks is a foundational requirement for achieving unprecedented performance, but it also introduces a sophisticated threat landscape that legacy security frameworks cannot address. This paper presents a comprehensive review of this dual role of AI, analyzing its potential to both compromise and safeguard future networks. Since AI has the ability to both protect and compromise security and privacy, its implementation with 6G technology may sometimes be a double-edged sword. The primary objective of this survey is to systematically analyze existing research that integrates AI techniques into 6G architectures, focusing on their implications for security and privacy. Among the concerns being investigated is the fundamental privacy and security risk associated with 6G technologies. Therefore, in order to incorporate and confirm this foundational research as a platform for future research, we have developed a review on the specifics of 6G security and privacy. The methodology involves reviewing recent academic and industrial studies related to AI-enabled 6G frameworks, threat models, and defense mechanisms, with an emphasis on how AI contributes to intrusion detection, authentication, and privacy preservation. This paper begins with a historical analysis of previous networking technologies and how they impacted contemporary 6G networking improvements. Therefore, this article discusses extensively the aspects that have rendered 6G technology relevant as well as the ongoing 6G-based projects. In addition, it identifies and critically evaluates key enabling technologies, including distributed ledger technology (DLT/blockchain), physical layer security (PLS), terahertz (THz) communication, quantum computing, visible light communication (VLC), and distributed AI/ML, that underpin secure 6G environments. The paper concludes by summarizing open challenges, future research opportunities, and potential pathways for building trustworthy AI-driven 6G systems.
  • Context-aware energy auctions on blockchain for mobile EV charging
    Zainab Husain, Joy Dutta, Shakti Singh, Rabeb Mizouni, Tarek H.M. El-Fouly, Hadi Otrok
    Sustainable Cities and Society, 2025
  • Empowering V2X Security: Integration of PoAh 2.0 and Edge LLM in Context-Aware Blockchain Ecosystems
    Joy Dutta, Hossien B. Eldeeb, Tu Dac Ho
    IEEE Vehicular Technology Conference, 2025
    Vehicle-to-Everything (V2X) networks require secure, low-latency data exchanges under dynamic mobility and evolving threats. Conventional blockchain consensus mechanisms, though effective for decentralized trust, lack real-time adaptive authentication capabilities essential for heterogeneous V2X environments. To address this, we introduce Proof of Authentication 2.0 (PoAh 2.0), an adaptive blockchain consensus integrated with an Edge Large Language Model (Edge LLM) and a Random Forest (RF) classifier. Edge LLM semantically analyzes transaction contexts, while RF processes numerical metadata, collectively classifying vehicular transactions into normal, sensitive, or critical, dynamically adjusting cryptographic authentication intensity accordingly. Our approach ensures real-time contextual adaptability, robust resistance against Sybil, replay, and 51% attacks, minimal communication overhead, and data privacy by localized processing. Comprehensive theoretical security analyses with formal proofs underscore the resilience of PoAh 2.0. Empirical validations through realistic V2X scenarios are earmarked as critical future work.
  • PoAh 2.0: AI-empowered dynamic authentication based adaptive blockchain consensus for IoMT-edge workflow
    Joy Dutta, Deepak Puthal
    Future Generation Computer Systems, 2024
    This paper introduces a significant advancement in the Proof of Authentication (PoAh) consensus algorithm, designed specifically for resource-constrained Internet of Things (IoT) devices. Building upon the foundations of PoAh consensus, this enhanced iteration, known as PoAh 2.0, integrates Artificial Intelligence (AI) at the block creator node level. This novel approach allows for the generation of block transactions embedded with AI-determined sensitivity and other applicable transaction-related metadata, a pioneering concept in this domain. The verifier node, a trusted entity, is tasked with verifying incoming blocks, utilizing the block header and its metadata information to determine authenticity while preserving the privacy of the content of the block’s data. A core innovation of PoAh 2.0 is its dynamic authentication mechanism, which adapts to the sensitivity level of the data within each block, behaving in an adaptive way based on the situation. AI plays a crucial role in this process, ensuring the block’s integrity and security are maintained. To demonstrate the efficacy of this advanced AI-enabled PoAh 2.0 consensus, we conducted a case study in an Internet of Medical Things (IoMT)-based eHealth scenario. The results from this study reveal that our developed dynamic authentication technique not only significantly enhances the original PoAh version but also establishes a new benchmark in block validation and security for eHealth applications. The integration of AI and improved dynamic authentication, calibrated to the security needs of each block, marks a novel and significant stride in blockchain research. This development not only enriches the current understanding of blockchain applications in IoT, but also sets a new direction for future research in secure and efficient blockchain implementations in the IoMT-Edge centric eHealth landscape.
  • Advancing eHealth in Society 5.0: A Fuzzy Logic and Blockchain-Enhanced Framework for Integrating IoMT, Edge, and Cloud With AI
    Joy Dutta, Deepak Puthal
    IEEE Access, 2024
    Society 5.0 envisions a human-centered society where advanced technologies seamlessly integrate to enhance quality of life, particularly in healthcare. To advance eHealth within this vision, we present a comprehensive framework that integrates the Internet of Medical Things (IoMT), edge computing, and cloud services with Explainable Artificial Intelligence (XAI) and blockchain technology, customized for the 6G era. We introduce the Health Prediction using Cloud Edge 2.0 (HPCE 2.0) algorithm, which employs fuzzy logic to effectively combine historical Electronic Health Records (EHRs) with real-time IoMT data, providing precise and personalized health severity level predictions. To ensure data integrity and security, we integrate the Proof of Authentication 2.0 (PoAh 2.0) consensus mechanism within a blockchain-enhanced IoMT-Edge-Cloud framework. A case study on predicting cardiac arrest in elderly patients demonstrates the practical effectiveness of our framework. Utilizing XAI models such as LIME and SHAP, we provide both local and global explanations for AI predictions, enhancing transparency and trust in healthcare applications; counterfactual explanations offer actionable insights for patients to proactively manage health risks. Security assessments confirm efficient block formation and verification times, validating the system’s scalability and compliance with stringent security standards. This work sets a new standard in digital healthcare by aligning technological advancements with ethical considerations, fostering a human-centered approach consistent with Society 5.0’s vision. Harnessing the capabilities of emerging 6G networks, our framework paves the way for more responsive, secure, and interpretable AI-driven healthcare solutions.
  • Advanced eHealth with Explainable AI: Secured by Blockchain with AI-Empowered Block Sensitivity for Adaptive Authentication
    Joy Dutta, Hossien B. Eldeeb, Tu Dac Ho
    IEEE International Symposium on Personal Indoor and Mobile Radio Communications PIMRC, 2024
    This paper presents an innovative, yet secure, eHealth framework that leverages Explainable Artificial Intelligence (XAI) and blockchain technology to enhance transparency and security in the IoT-edge-cloud continuum. The framework incorporates SHapley Additive exPlanations (SHAP) to provide real-time, model-agnostic explanations for AI predictions, enabling personalized health monitoring and informed decisionmaking in healthcare. To strengthen data security, a consortium blockchain is employed, and AI is utilized to identify block data sensitivity at the edge within blockchain-integrated IoT architectures using Random Forest (RF) algorithm. This approach achieves high accuracy in validating block sensitivity, enabling efficient selection of authentication mechanisms in the proof of authentication (PoAh) consensus within the consortium blockchain. This ensures heightened protection for sensitive data and contributes to improved overall blockchain performance. The proposed framework is evaluated in an edge computing environment and demonstrates significant potential for advancing security and authentication in eHealth, representing a substantial advancement in healthcare technology.
  • Role-Based Access Control in Private Blockchain for IoT Integrated Smart Contract
    Darwish Al Neyadi, Deepak Puthal, Joy Dutta, Ernesto Damiani
    IFIP Advances in Information and Communication Technology, 2024
  • Human-Centered Explainable AI at the Edge for eHealth
    Joy Dutta, Deepak Puthal
    Proceedings IEEE International Conference on Edge Computing, 2023
  • IoMT Synthetic Cardiac Arrest Dataset for eHealth with AI-based Validation
    Joy Dutta, Deepak Puthal
    Proceedings of IEEE Computer Society Annual Symposium on VLSI Isvlsi, 2023
  • Next Generation Healthcare with Explainable AI: IoMT-Edge-Cloud Based Advanced eHealth
    Joy Dutta, Deepak Puthal, Chan Yeob Yeun
    Proceedings IEEE Global Communications Conference Globecom, 2023
  • Privacy-aware Adaptive Collaborative Learning Approach for Distributed Edge Networks
    Saeed Alqubaisi, Deepak Puthal, Joy Dutta, Ernesto Damiani
    2023 IEEE 10th International Conference on Data Science and Advanced Analytics Dsaa 2023 Proceedings, 2023
  • JUHDM: IoT-Based Honk Detection and Novel Driver Profiling For Smart City
    Joy Dutta, Debojit Chakraborty, Sarbani Roy, Deepak Puthal
    Proceedings 2023 IEEE International Conference on High Performance Computing and Communications Data Science and Systems Smart City and Dependability in Sensor Cloud and Big Data Systems and Application Hpcc Dss Smartcity Dependsys 2023, 2023
  • Machine Learning-based Adaptive Access Control Mechanism for Private Blockchain Storage
    Sultan Almansoori, Mohamed Alzaabi, Mohammed Alrayssi, Deepak Puthal, Joy Dutta, Aamna Al Shehhi
    Proceedings International Computer Software and Applications Conference, 2023
  • OccupancySense: Context-based indoor occupancy detection & prediction using CatBoost model
    Joy Dutta, Sarbani Roy
    Applied Soft Computing, 2022
  • AI-based Block Identification and Classification in the Blockchain Integrated IoT
    Joy Dutta, Deepak Puthal, Ernesto Damiani
    Proceedings 2022 Oits International Conference on Information Technology Ocit 2022, 2022
  • IndoorSense: context based indoor pollutant prediction using SARIMAX model
    Joy Dutta, Sarbani Roy
    Multimedia Tools and Applications, 2021
  • JUSense: A Unified Framework for Participatory-based Urban Sensing System
    Asif Iqbal Middya, Sarbani Roy, Joy Dutta, Rituparna Das
    Mobile Networks and Applications, 2020
  • Unified framework for IoT and smartphone based different smart city related applications
    Joy Dutta, Sarbani Roy, Chandreyee Chowdhury
    Microsystem Technologies, 2019
  • DRSense: Detection of Driving Patterns and Road Anomalies
    Beepa Bose, Joy Dutta, Subhasish Ghosh, Pradip Pramanick, Sarbani Roy
    Proceedings 2018 3rd International Conference on Internet of Things Smart Innovation and Usages Iot Siu 2018, 2018
  • ES3B: Enhanced security system for smart building using IoT
    Joy Dutta, Yong Wang, Tanmoy Maitra, SK Hafizul Islam, Bharat S. Rawal, Debasis Giri
    Proceedings 3rd IEEE International Conference on Smart Cloud Smartcloud 2018, 2018
  • NoiseSense: Crowdsourced context aware sensing for real time noise pollution monitoring of the city
    Joy Dutta, Pradip Pramanick, Sarbani Roy
    11th IEEE International Conference on Advanced Networks and Telecommunications Systems Ants 2017, 2018
  • SenseDCity: A participatory sensing based approach
    Subhasish Ghosh, Joy Dutta, Sarbani Roy
    ACM International Conference Proceeding Series, 2018
  • Smartphone based system for real-time aggressive driving detection and marking rash driving-prone areas
    Beepa Bose, Joy Dutta, Subhasish Ghosh, Pradip Pramanick, Sarbani Roy
    ACM International Conference Proceeding Series, 2018
  • Energy-efficient GPS usage in location-based applications
    Joy Dutta, Pradip Pramanick, Sarbani Roy
    Advances in Intelligent Systems and Computing, 2018
  • IoT-fog-cloud based architecture for smart city: Prototype of a smart building
    Joy Dutta, Sarbani Roy
    Proceedings of the 7th International Conference Confluence 2017 on Cloud Computing Data Science and Engineering, 2017
  • Towards smart city: Sensing air quality in city based on opportunistic crowd-sensing
    Joy Dutta, Chandreyee Chowdhury, Sarbani Roy, Asif Iqbal Middya, Firoj Gazi
    ACM International Conference Proceeding Series, 2017
  • AirSense: Opportunistic crowd-sensing based air quality monitoring system for smart city
    Joy Dutta, Firoj Gazi, Sarbani Roy, Chandreyee Chowdhury
    Proceedings of IEEE Sensors, 2016

RECENT SCHOLAR PUBLICATIONS

  • Blockchain and AI: Securing Intelligent Networks for the Future
    J Dutta, HB Eldeeb, TD Ho
    arXiv preprint arXiv:2604.06323 , 2026
    2026
  • Explainable ai-enabled privacy-preserving query processing on blockchain ledgers with statistical metadata
    J Dutta, D Puthal
    IEEE Transactions on Services Computing , 2026
    2026
    Citations: 1
  • Next-Generation Security in the 6G Era: The Role of AI in Safeguarding Future Networks
    R Kumar, J Dutta, N Vamsi, US Varri, D Puthal
    IEEE Access , 2026
    2026
    Citations: 5
  • Context-aware energy auctions on blockchain for mobile EV charging
    Z Husain, J Dutta, S Singh, R Mizouni, THM El-Fouly, H Otrok
    Sustainable Cities and Society 130, 106548 , 2025
    2025
    Citations: 3
  • Empowering V2X Security: Integration of PoAh 2.0 and Edge LLM in Context-Aware Blockchain Ecosystems
    J Dutta, HB Eldeeb, TD Ho
    2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring), 1-6 , 2025
    2025
    Citations: 3
  • ProTSF: IoT-Based Outdoor Air Pollution Forecasting Using Bayesian Optimization-Based LSTM
    J Dutta, CM Bhushan, F Gazi, MM Hussain
    International Conference on Mathematics and Computing, 403-414 , 2025
    2025
  • Advancing eHealth in society 5.0: a fuzzy logic and blockchain-enhanced framework for integrating IoMT, edge, and cloud with AI
    J Dutta, D Puthal
    IEEE Access 12, 195710-195730 , 2024
    2024
    Citations: 23
  • PoAh 2.0: AI-empowered dynamic authentication based adaptive blockchain consensus for IoMT-edge workflow
    J Dutta, D Puthal
    Future Generation Computer Systems 161, 655-672 , 2024
    2024
    Citations: 28
  • Advanced ehealth with explainable ai: Secured by blockchain with ai-empowered block sensitivity for adaptive authentication
    J Dutta, HB Eldeeb, TD Ho
    2024 IEEE 35th International Symposium on Personal, Indoor and Mobile Radio … , 2024
    2024
    Citations: 17
  • JUHDM: IoT-Based Honk Detection and Novel Driver Profiling For Smart City
    J Dutta, D Chakraborty, S Roy, D Puthal
    2023 IEEE International Conference on High Performance Computing … , 2023
    2023
    Citations: 4
  • Next generation healthcare with explainable AI: IoMT-edge-cloud based advanced ehealth
    J Dutta, D Puthal, CY Yeun
    GLOBECOM 2023-2023 IEEE Global Communications Conference, 7327-7332 , 2023
    2023
    Citations: 23
  • Role-based access control in private blockchain for iot integrated smart contract
    D Al Neyadi, D Puthal, J Dutta, E Damiani
    IFIP International Internet of Things Conference, 227-245 , 2023
    2023
    Citations: 16
  • Privacy-aware Adaptive Collaborative Learning Approach for Distributed Edge Networks
    S Alqubaisi, D Puthal, J Dutta, E Damiani
    2023 IEEE 10th International Conference on Data Science and Advanced … , 2023
    2023
    Citations: 3
  • Human-centered explainable ai at the edge for ehealth
    J Dutta, D Puthal
    2023 IEEE International Conference on Edge Computing and Communications … , 2023
    2023
    Citations: 14
  • Machine learning-based adaptive access control mechanism for private blockchain storage
    S Almansoori, M Alzaabi, M Alrayssi, D Puthal, J Dutta, A Al Shehhi
    2023 IEEE 47th Annual Computers, Software, and Applications Conference … , 2023
    2023
    Citations: 7
  • Iomt synthetic cardiac arrest dataset for ehealth with ai-based validation
    J Dutta, D Puthal
    2023 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 1-6 , 2023
    2023
    Citations: 11
  • Ai-based block identification and classification in the blockchain integrated iot
    J Dutta, D Puthal, E Damiani
    2022 OITS International Conference on Information Technology (OCIT), 415-421 , 2022
    2022
    Citations: 23
  • OccupancySense: Context-based indoor occupancy detection & prediction using CatBoost model
    J Dutta, S Roy
    Applied Soft Computing 119, 108536 , 2022
    2022
    Citations: 73
  • Indoor air pollutant prediction using time series forecasting models
    J Dutta, S Roy
    Emerging Technologies in Data Mining and Information Security: Proceedings … , 2021
    2021
    Citations: 7
  • IndoorSense: context based indoor pollutant prediction using SARIMAX model
    J Dutta, S Roy
    Multimedia tools and applications 80 (13), 19989-20018 , 2021
    2021
    Citations: 25

MOST CITED SCHOLAR PUBLICATIONS

  • Towards smart city: sensing air quality in city based on opportunistic crowd-sensing
    J Dutta, C Chowdhury, S Roy, AI Middya, F Gazi
    Proceedings of the 18th international conference on distributed computing … , 2017
    2017
    Citations: 149
  • AirSense: Opportunistic Crowd-Sensing based Air Quality monitoring System for Smart City
    J Dutta, F Gazi, S Roy, C Chowdhury
    IEEE SENSORS 2016, 1-3 , 2016
    2016
    Citations: 124
  • IoT-fog-cloud based architecture for smart city: Prototype of a smart building
    J Dutta, S Roy
    2017 7th international conference on cloud computing, data science … , 2017
    2017
    Citations: 116
  • Unified framework for IoT and smartphone based different smart city related applications
    J Dutta, S Roy, C Chowdhury
    Microsystem Technologies 25 (1), 83-96 , 2019
    2019
    Citations: 75
  • OccupancySense: Context-based indoor occupancy detection & prediction using CatBoost model
    J Dutta, S Roy
    Applied Soft Computing 119, 108536 , 2022
    2022
    Citations: 73
  • D&rsense: Detection of driving patterns and road anomalies
    B Bose, J Dutta, S Ghosh, P Pramanick, S Roy
    2018 3rd International Conference On Internet of Things: Smart Innovation … , 2018
    2018
    Citations: 68
  • NoiseSense: Crowdsourced context aware sensing for real time noise pollution monitoring of the city
    J Dutta, P Pramanick, S Roy
    2017 IEEE international conference on advanced networks and … , 2017
    2017
    Citations: 34
  • Jusense: a unified framework for participatory-based urban sensing system
    AI Middya, S Roy, J Dutta, R Das
    Mobile Networks and Applications 25 (4), 1249-1274 , 2020
    2020
    Citations: 32
  • PoAh 2.0: AI-empowered dynamic authentication based adaptive blockchain consensus for IoMT-edge workflow
    J Dutta, D Puthal
    Future Generation Computer Systems 161, 655-672 , 2024
    2024
    Citations: 28
  • Smartphone based system for real-time aggressive driving detection and marking rash driving-prone areas
    B Bose, J Dutta, S Ghosh, P Pramanick, S Roy
    Proceedings of the Workshop Program of the 19th International Conference on … , 2018
    2018
    Citations: 27
  • IndoorSense: context based indoor pollutant prediction using SARIMAX model
    J Dutta, S Roy
    Multimedia tools and applications 80 (13), 19989-20018 , 2021
    2021
    Citations: 25
  • Advancing eHealth in society 5.0: a fuzzy logic and blockchain-enhanced framework for integrating IoMT, edge, and cloud with AI
    J Dutta, D Puthal
    IEEE Access 12, 195710-195730 , 2024
    2024
    Citations: 23
  • Next generation healthcare with explainable AI: IoMT-edge-cloud based advanced ehealth
    J Dutta, D Puthal, CY Yeun
    GLOBECOM 2023-2023 IEEE Global Communications Conference, 7327-7332 , 2023
    2023
    Citations: 23
  • Ai-based block identification and classification in the blockchain integrated iot
    J Dutta, D Puthal, E Damiani
    2022 OITS International Conference on Information Technology (OCIT), 415-421 , 2022
    2022
    Citations: 23
  • ES3B: enhanced security system for smart building using IoT
    J Dutta, Y Wang, T Maitra, SKH Islam, BS Rawal, D Giri
    2018 IEEE International Conference on Smart Cloud (SmartCloud), 158-165 , 2018
    2018
    Citations: 18
  • Advanced ehealth with explainable ai: Secured by blockchain with ai-empowered block sensitivity for adaptive authentication
    J Dutta, HB Eldeeb, TD Ho
    2024 IEEE 35th International Symposium on Personal, Indoor and Mobile Radio … , 2024
    2024
    Citations: 17
  • Role-based access control in private blockchain for iot integrated smart contract
    D Al Neyadi, D Puthal, J Dutta, E Damiani
    IFIP International Internet of Things Conference, 227-245 , 2023
    2023
    Citations: 16
  • Human-centered explainable ai at the edge for ehealth
    J Dutta, D Puthal
    2023 IEEE International Conference on Edge Computing and Communications … , 2023
    2023
    Citations: 14
  • Iomt synthetic cardiac arrest dataset for ehealth with ai-based validation
    J Dutta, D Puthal
    2023 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 1-6 , 2023
    2023
    Citations: 11
  • Energy-efficient GPS usage in location-based applications
    J Dutta, P Pramanick, S Roy
    Information and Decision Sciences: Proceedings of the 6th International … , 2018
    2018
    Citations: 8