Encrypted Proximity Recognition (EPR) Framework using Connectionless BLE with Application to Classroom Attendance Dwaipayan Datta, Nirjhar Debnath, Kousik Dasgupta Proceedings of the International Conference on Research in Computational Intelligence and Communication Networks Icrcicn, 2025 Proximity-based identification faces a fundamental challenge where existing solutions either sacrifice cryptographic authentication for scalability or require dedicated infrastructure. Traditional Bluetooth Low Energy (BLE) implementations demand connection establishment, limiting concurrent device support on typical smartphone hardware. This paper presents Encrypted Proximity Recognition (EPR) framework, a connectionless BLE protocol that achieves cryptographic device authentication with concurrent scalability and zero-infrastructure deployment. EPR employs one-way cryptographic key mixing where each device broadcasts values derived from a pre-distributed secret key combined with session-specific one-time parameters through multi-stage cryptographic operations, enabling a verifier device to identify present devices by matching received broadcasts against pre-computed values. The framework supports flexible deployment configurations including deterministic mixing for offline operation, server-assisted mixing to prevent client-side function extraction, and TRNG-based parameterization for enhanced security. Extensions with biometric verification enable multi-factor authentication combining proximity, device possession, and user presence. Real-world validation through classroom attendance deployment demonstrates practical feasibility.
Message from the General Chairs Proceedings of the International Conference on Research in Computational Intelligence and Communication Networks Icrcicn, 2025
Spatial Knowledge Graph Creation and Action Prediction with Neuro Symbolic AI Debamrita Paul, Akash Bhakat, Saikat Panda, Kousik Dasgupta Proceedings of the International Conference on Research in Computational Intelligence and Communication Networks Icrcicn, 2025 Accurate perception and reasoning in driving environments remain critical challenges for autonomous vehicles. Traditional deep learning based perception systems, while powerful at detecting objects, often lack interpretability and fail to generalize in ambiguous or unseen conditions. To address these limitations, we propose a Neuro-Symbolic Spatial Graph architecture that integrates neural perception with symbolic reasoning for context aware scene understanding. The system employs a convolutional vision model to perform object detection, distance estimation from raw driving footage. The extracted spatial information is then structured into a symbolic scene graph, where nodes represent entities such as vehicles, lanes and the camera mounted car. Edges in the graph encode spatial and semantic relations, including distance, lane occupancy and proximity warnings. This hybrid representation enables the system to infer high level contextual insights such as collision risk and optimal maneuver zones. Experimental results demonstrate that our approach supports interpretability, logical reasoning about spatial interactions.
ElectraGuard:A Blockchain-Based Opinion Polling System for Tamper-Proof Surveys Kamalika Bhowal, Srijit Mondal, Abir Chattopadhyay, Kousik Dasgupta Proceedings of 2025 IEEE Artificial Intelligence for Computing Astronomy and Renewable Energy Aicare 2025, 2025 In our Society public opinion surveys are necessary for understanding societal viewpoints, but the conventional polling platforms are at a high risk of forgery, data breaches and manipulation. To ensure the reliability and integrity of polling outcomes, there is a growing need for secure and transparent mechanisms [1]. This paper presents ElectraGuard, a blockchain-based online polling platform designed to deliver trustworthy, tamper-resistant, and user-friendly opinion polling. Built on the Ethereum blockchain using smart contracts, ElectraGuard ensures decentralised execution, voter anonymity, and one-response-per-participant integrity [2]. The system leverages cryptographic hashing and distributed ledger technology to record each submission immutably, preventing result falsification or post-hoc modification. Supporting multiple categories of institutional and organizational polls, the platform features a web-based interface that enables secure participation and real-time result visualization. Testing shows that ElectraGuard greatly improves the security, ability to check results, and trustworthiness of online polling, providing a strong base for clear and checkable digital surveys.
CryptoSafeSend: Implementation and Evaluation of a Secure Transaction Mediator on Blockchain Kamalika Bhowal, Srijit Mondal, Abir Chattopadhyay, Kousik Dasgupta Proceedings of the International Conference on Research in Computational Intelligence and Communication Networks Icrcicn, 2025 In decentralized finance (DeFi), accidental cryptocurrency transfers to incorrect wallet addresses are a large usability and security issue, frequently causing permanent loss of funds. We present CryptoSafeSend, a smart contract-based safety protocol for transactions featuring a cryptographically secure passcode verification scheme supporting conditional transfers. This work addresses higher-level security issues by introducing a PBKDF2-based key derivation function, which generates strong encryption keys based on Firebase’s Firebase UID. Secret passcodes are encrypted in AES-GCM functions deployed underneath the Web Crypto API, and Initialization Vector and ciphertext are Base64 encoded for off-chain reliable storage and Firebase Firestore-based messaging. The protocol prevents unauthorized exploitation by safely binding off-chain passcode transmission to a matching on-chain verification, reinforcing user trust without undermining decentralization. Testing on an Ethereum testnet confirms negligible gas overhead, immunity against double claims, and strong security guarantees, qualifying CryptoSafeSend as a valuable constituent in next-generation secure digital asset protocols.
A linear regression based prediction model for load distribution and quality of service improvement with different resource utilisation in cloud environment Gopa Mandal, Santanu Dam, Kousik Dasgupta, Paramartha Dutta International Journal of Communication Networks and Distributed Systems, 2025 Cloud computing is a delivery-based consumption model that relies on the internet. The use of cloud enabled devices is increasing rapidly. So, to maintain quality of service (QoS), throughput of the entire system with service level agreements (SLAs) is a major concern between the service providers and the end users. Alternative techniques for virtual machine (VM) consolidation and proper workload allocation may be beneficial. This study proposes a linear regression-based prediction model for load distribution and QoS improvement. The model aims to enhance system throughput and QoS by predicting resource utilisation levels using historical consumption data. Experiments conducted using the CloudSim and CloudAnalyst platforms demonstrate positive results, outperforming existing methodologies. The study also evaluates service level agreement violation (SLAV) and delays to assess the QoS provided by the cloud service provider (CSP). Overall, this research contributes to the enhancement of QoS in cloud and cloud enabled systems like the Internet of Things and the Cloud of Things (CoT) and addresses the challenges of optimising resource utilisation while ensuring QoS.
Nirnayaak: Revolutionizing Legal Research Soumyajit Datta, Arya Chakraborty, Saptarshi Bhattacharya, Amit Samui, Anurag Chakraborty, Kousik Dasgupta Proceedings 2024 4th International Conference on Computer Communication Control and Information Technology C3it 2024, 2024
Multi-Scale Object Extraction Using A Self Organizing Neural Network With A Multi-Level Beta Activation Function Proceedings of International Conference on Intelligent Sensing and Information Processing Icisip 2004, 2004
RECENT SCHOLAR PUBLICATIONS
Performance evaluation of machine learning classifiers for sudden cardiac arrest detection P Banerjee, S Bhattacherjee, K Dasgupta, S Sen Journal of The Institution of Engineers (India): Series B 106 (3), 989-995 , 2025 2025 Citations: 5
A Non-Sequential Steganography Method Using Perfect Square Quotient Differencing (NSPSQD) RK Basak, R Chatterjee, K Dasgupta, P Dutta SN Computer Science 6 (5), 458 , 2025 2025 Citations: 1
ByDeWay: Boost Your multimodal LLM with DEpth prompting in a training-free Way R Roy, D Das, A Banerjee, A Bhattacharjee, K Dasgupta, S Tripathi Proceedings of the IEEE/CVF International Conference on Computer Vision … , 2025 2025
A linear regression based prediction model for load distribution and quality of service improvement with different resource utilisation in cloud environment G Mandal, S Dam, K Dasgupta, P Dutta International Journal of Communication Networks and Distributed Systems 31 … , 2025 2025
A hybrid structural feature extraction-based intelligent predictive approach for image registration J Hazra, AR Chowdhury, K Dasgupta, P Dutta Innovations in Systems and Software Engineering 20 (4), 643-651 , 2024 2024 Citations: 4
Nirnayaak: Revolutionizing Legal Research S Datta, A Chakraborty, S Bhattacharya, A Samui, A Chakraborty, ... 2024 4th International Conference on Computer, Communication, Control … , 2024 2024 Citations: 1
Fuzzy rule-based hyperspectral band selection algorithm with ant colony optimization AR Chowdhury, J Hazra, K Dasgupta, P Dutta Innovations in Systems and Software Engineering 20 (2), 161-174 , 2024 2024 Citations: 9
A Detailed Comparative Study of Regression Models for Stock Price Prediction J Mukherjee, K Dasgupta, S Banerjee, M Biswas International Conference on Computational Intelligence in Communications and … , 2024 2024
Efficient Partitioning of a Multi-dimensional Axis-Aligned Space into Uniform Non-overlapping Sub-spaces for Diverse Applications J Mukherjee, K Dasgupta, S Banerjee, M Biswas Doctoral Symposium on Intelligence Enabled Research, 181-194 , 2023 2023
Design of an Explainable AI-Assisted Arrhythmia Detection and Interpretation Model Using ECG Data S Banerjee, J Tauro, K Dasgupta, S Barik, NC Debnath International Conference on Business Intelligence and Information Technology … , 2023 2023 Citations: 1
Computational Intelligence in Communications and Business Analytics: 5th International Conference, CICBA 2023, Kalyani, India, January 27–28, 2023, Revised Selected Papers, Part II K Dasgupta, S Mukhopadhyay, JK Mandal, P Dutta Springer Nature , 2023 2023 Citations: 1
A Blockchain-based Security Management Framework for Cyber-Physical Systems D Das, S Banerjee, R Chakraborty, K Dasgupta, P Chatterjee, U Ghosh 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet … , 2023 2023 Citations: 7
Estimation of Different Transformation Parameters Based on Optimised Scale Invariant Feature Transform for Image Registration J Hazra, AR Chowdhury, K Dasgupta, P Dutta Frontiers of ICT in Healthcare: Proceedings of EAIT 2022, 647-654 , 2023 2023 Citations: 1
Load Balancing in a Heterogeneous Cloud Environment with a New Cloudlet Scheduling Strategy G Mandal, S Dam, K Dasgupta, P Dutta International Conference on Computational Intelligence in Communications and … , 2023 2023
Blockchain-Enabled IoV Framework for Establishing Automated Communication Using Smart Contract R Chakraborty, K Dasgupta, D Das, S Banerjee, U Ghosh International Conference on Computational Intelligence in Communications and … , 2023 2023
Classification of Cricket Shots from Cricket Videos Using Self-attention Infused CNN-RNN (SAICNN-RNN) A Dutta, A Baral, S Kundu, S Biswas, K Dasgupta, Hasanujaman International Conference on Computational Intelligence in Communications and … , 2023 2023
Blockchain enabled sdn framework for security management in 5g applications D Das, S Banerjee, K Dasgupta, P Chatterjee, U Ghosh, U Biswas Proceedings of the 24th International Conference on Distributed Computing … , 2023 2023 Citations: 60
A secure blockchain-enabled vehicle identity management framework for intelligent transportation systems D Das, K Dasgupta, U Biswas Computers and Electrical Engineering 105, 108535 , 2023 2023 Citations: 56
A Non-Sequential Approach for Steganography using Perfect Square Quotient Differencing (NSPSQD) RK Basak, R Chatterjee, D Das, K Dasgupta, P Dutta 2022
Emotion recognition using deep learning in pandemic with real-time email alert A Dey, K Dasgupta Proceedings of Third International Conference on Communication, Computing … , 2022 2022 Citations: 9
MOST CITED SCHOLAR PUBLICATIONS
A genetic algorithm (ga) based load balancing strategy for cloud computing K Dasgupta, B Mandal, P Dutta, JK Mandal, S Dam Procedia Technology 10, 340-347 , 2013 2013 Citations: 517
Load balancing in cloud computing using stochastic hill climbing-a soft computing approach B Mondal, K Dasgupta, P Dutta Procedia Technology 4, 783-789 , 2012 2012 Citations: 320
Hash based least significant bit technique for video steganography (HLSB) K Dasgupta, JK Mandal, P Dutta International Journal of Security, Privacy and Trust Management (IJSPTM) 1 … , 2012 2012 Citations: 150
Genetic algorithm and gravitational emulation based hybrid load balancing strategy in cloud computing S Dam, G Mandal, K Dasgupta, P Dutta Proceedings of Third International Conference on Computer, Communication … , 2015 2015 Citations: 104
Optimized video steganography using genetic algorithm (GA) K Dasgupta, JK Mondal, P Dutta Procedia Technology 10, 131-137 , 2013 2013 Citations: 98
A novel secure image steganography method based on Chaos theory in spatial domain D Bandyopadhyay, K Dasgupta, JK Mandal, P Dutta International Journal of Security, Privacy and Trust Management (IJSPTM) 3 … , 2014 2014 Citations: 91
An ant colony based load balancing strategy in cloud computing S Dam, G Mandal, K Dasgupta, P Dutta Advanced Computing, Networking and Informatics-Volume 2, 403-413 , 2014 2014 Citations: 83
Blockchain enabled sdn framework for security management in 5g applications D Das, S Banerjee, K Dasgupta, P Chatterjee, U Ghosh, U Biswas Proceedings of the 24th International Conference on Distributed Computing … , 2023 2023 Citations: 60
A secure blockchain-enabled vehicle identity management framework for intelligent transportation systems D Das, K Dasgupta, U Biswas Computers and Electrical Engineering 105, 108535 , 2023 2023 Citations: 56
An ant-colony-based meta-heuristic approach for load balancing in cloud computing S Dam, G Mandal, K Dasgupta, P Dutta Applied Computational Intelligence and Soft Computing in Engineering, 204-232 , 2018 2018 Citations: 44
Design of a novel Prediction Engine for predicting suitable salary for a job S Dutta, A Halder, K Dasgupta 2018 Fourth International Conference on Research in Computational … , 2018 2018 Citations: 36
a (2, n) visual cryptographic technique for banking applications JK Pal, JK Mandal, K Dasgupta International Journal of Network Security & Its Applications (IJNSA) 2 (4 … , 2010 2010 Citations: 24
Color Object Extraction From A Noisy Background Using Parallel Multi-layer Self-Organizing Neural Networks SBK Dasgupta Proceedings Of CSI-YITPA(E) 2003, 32-36 , 2003 2003 Citations: 14
Color object extraction from a noisy background using parallel multilayer self-organizing neural networks S Bhattacharyya, K Dasgupta Proceedings of CSI-YITPA (E) 2003, 32-36 , 2003 2003 Citations: 14
A Linear Regression-Based Resource Utilization Prediction Policy for Live Migration in Cloud Computing G Mandal, S Dam, K Dasgupta, P Dutta Algorithms in Machine Learning Paradigms, 109-128 , 2020 2020 Citations: 13
Steganography in Color Animated Image Sequence for Secret Data Sharing Using Secure Hash Algorithm RK Basak, R Chatterjee, P Dutta, K Dasgupta Wireless Pers Commun (2021) , 2021 2021 Citations: 10
Fuzzy rule-based hyperspectral band selection algorithm with ant colony optimization AR Chowdhury, J Hazra, K Dasgupta, P Dutta Innovations in Systems and Software Engineering 20 (2), 161-174 , 2024 2024 Citations: 9
Emotion recognition using deep learning in pandemic with real-time email alert A Dey, K Dasgupta Proceedings of Third International Conference on Communication, Computing … , 2022 2022 Citations: 9
Algorithms in Machine Learning Paradigms JK Mandal, S Mukhopadhyay, P Dutta, K Dasgupta Springer , 2020 2020 Citations: 9
Steganography in grey scale animated GIF using hash based pixel value differencing RK Basak, K Dasgupta, P Dutta 2018 Fourth International Conference on Research in Computational … , 2018 2018 Citations: 9