Sourav Banerjee

EDUCATION

PhD in Computer Science and Engineering, M.Tech in Computer Sciene and Engineering, B.E in Computer Science and Engineering

RESEARCH INTERESTS

Blockchain, IoT, Green Computing, Cloud Computing, Edge Computing

Scopus Publications

A Detailed Comparative Study of Regression Models for Stock Price Prediction
Jaysmito Mukherjee, Kousik Dasgupta, Sourav Banerjee, and Manju Biswas
Springer Nature Switzerland



Intelligent Water Management: Deep Learning in Edge and Fog Computing for Smart Irrigation
Manash Kumar Mondal, Sourav Banerjee, Moumita Roy, Utpal Biswas, and Narayan C. Debnath
Springer Nature Switzerland



Blockchain-Enabled Federated Learning for Security and Privacy in Consumer Electronics Devices
Debashis Das, Pushpita Chatterjee, Sourav Banerjee, Uttam Ghosh, and Mohammed S. Al-Numay
Institute of Electrical and Electronics Engineers (IEEE)



A Blockchain-Enabled Sustainable Safety Management Framework for Connected Vehicles
Sourav Banerjee, Debashis Das, Pushpita Chatterjee, Benjamin Blakely, and Uttam Ghosh
Institute of Electrical and Electronics Engineers (IEEE)



Enhancing Acute Lymphoblastic Leukemia Image Segmentation: Unveiling the Impact of Color Spaces and Clustering Techniques









Design and Development of a Novel Bio-Inspired VM Placement in Green Cloud Computing Environment
Nirmal Kr Biswas, Sourav Banerjee, and Uttam Ghosh
IEEE
Cloud computing has become exceptionally mainstream because of the concentrated development of service demands from organizations. Cloud service providers are constructing new and enlarged data centers to supply services to diverse clients. Data centers use a large quantity of energy to run their systems. And, the vast majority of energy originates from non-renewable sources. It releases a colossal amount of greenhouse gases into the atmosphere. It has a huge detrimental influence on the ecosystem. Efficient management of resources can reduce overall energy consumption (EC). A virtual machine (VM) deployment in physical machines (PMs) may enhance the power efficiency of data centers. However, due to its inverse proportional nature, a decrease in EC may result in a Service Level Agreement Violation (SLAV). Therefore, a novel dynamic bio-inspired VM placement policy (BoIVPP) has been presented in this paper to decrease energy consumption and SLA violations. The Novel Optimized Crow Search Algorithm (NOCSA) propels the proposed BoIVPP. With an effective trade-off between EC and SLAV, the proposed BoIVPP assures the meeting of quality of service (QoS) needs in green cloud computing.


Digital Twins and Blockchain Fusion for Security in Metaverse-Driven Consumer Supply Chains
Pushpita Chatterjee, Debashis Das, Danda B Rawat, Uttam Ghosh, Sourav Banerjee, and Mohammed S. Al-Numay
Institute of Electrical and Electronics Engineers (IEEE)



A Deep Learning-based Car Accident Detection Framework using Edge and Cloud Computing
Sourav Banerjee, Manash Kumar Mondal, Moumita Roy, Waleed S. Alnumay, and Utpal Biswas
Institute of Electrical and Electronics Engineers (IEEE)



Service-Oriented Distributed Architecture for Sustainable Secure Smart City
Sourav Banerjee, Sudip Barik, Arijit Sil, and Jerry Chun-Wei Lin
CRC Press



Toward Fast Reliable Intelligent Industry 5.0—A Comprehensive Study
Manash Kumar Mondal, Sourav Banerjee, and Yudong Zhang
CRC Press



Software Development for Medical Devices: A Comprehensive Guide
Pravin Mundra, Uttam Ghosh, Sudip Barik, and Sourav Banerjee
CRC Press



Blockchain-Based Device Identity Management and Authentication in Cyber-Physical Systems
Uttam Ghosh, Debashis Das, Sourav Banerjee, and Saraju Mohanty
IEEE
The proliferation of interconnected devices in the era of the Internet of Things (IoT) has given rise to the need for robust device identity management and authentication mechanisms in cyber-physical systems (CPSs). Traditional centralized approaches to identity management face challenges of security, scalability, and privacy. Therefore, the paper provides an innovative approach by fusing Self-Sovereign Identity (SSI) with blockchain technology to revolutionize device identity management within CPS environments. In this paper, devices autonomously initiate their identity-creation processes. Each device generates a cryptographic key pair comprising a public key for openly identifying the device and a closely guarded private key used for authentication and decryption purposes. The research also introduces an innovative authentication algorithm within CPS environments that employs secure tokens to validate the authenticity of devices. The proposed framework reduces the risk of unauthorized access and data breaches while empowering devices with control over their identities. Overall, the proposed approach not only enhances security, privacy, and resilience within CPSs but also provides a transformative solution for identity management in dynamic and autonomous device environments.


Blockchain-Enabled IoV Framework for Establishing Automated Communication Using Smart Contract
Rakhi Chakraborty, Kousik Dasgupta, Debashis Das, Sourav Banerjee, and Uttam Ghosh
Springer Nature Switzerland



Design of a Vehicle Overspeed Management System Using Blockchain-Assisted IoV
Manju Biswas, Subhajit Mallick, Shounak Bose, Ghanashyam Nandi, Sourav Banerjee, and Utpal Biswas
Springer Nature Switzerland



EHR Security and Privacy Aspects: A Systematic Review
Sourav Banerjee, Sudip Barik, Debashis Das, and Uttam Ghosh
Springer Nature Switzerland



Blockchain-Enabled Secure and Fair Online Lottery Systems Using Smart Contracts
Suseta Datta, Rituparna Mondal, Rajdeep Roy, Sourav Banerjee, and Utpal Biswas
IEEE
In the capricious digital dominion, conventional online lottery systems come across consequential impediment regarding transparency, fairness, and security. This paper presents an inventive solution by merging Blockchain technology and smart contracts into online lotteries to take forward these challenges. The preferred disperse implementation capitalizes on Blockchain's decentralized category to covenant the translucency and immutability of lottery transactions, thereby undoing the requisite for trusted interceders. Smart contracts are immersed to automate the entire lottery process-from ticket provisioning to winner selection and payout-certifying agreement to preconceived rules and reinforcing contender trust. Through meticulous perusal and enactment, illustration of how Blockchain technology can transform online lottery systems, providing users with a secure, transparent, and fair platform have been performed. Furthermore, the suggested system's resistance to recurrent deceit and its prospective impression on the online gambling industry are talked about, foregrounding the welfares of a Blockchain-drove technique to online lotteries.


Blockchain for Intelligent Transportation Systems: Applications, Challenges, and Opportunities
Debashis Das, Sourav Banerjee, Pushpita Chatterjee, Uttam Ghosh, and Utpal Biswas
Institute of Electrical and Electronics Engineers (IEEE)



An Approach Towards the Security Management for Sensitive Medical Data in the IoMT Ecosystem
Pushpita Chatterjee, Debashis Das, Sourav Banerjee, Uttam Ghosh, Armando B. Mpembele, and Tamara Rogers
ACM
The Internet of Medical Things (IoMT) is a network of interconnected medical devices, wearables, and sensors integrated into healthcare systems. It enables real-time data collection and transmission using smart medical devices with trackers and sensors. IoMT offers various benefits to healthcare, including remote patient monitoring, improved precision, and personalized medicine, enhanced healthcare efficiency, cost savings, and advancements in telemedicine. However, with the increasing adoption of IoMT, securing sensitive medical data becomes crucial due to potential risks such as data privacy breaches, compromised health information integrity, and cybersecurity threats to patient information. It is necessary to consider existing security mechanisms and protocols and identify vulnerabilities. The main objectives of this paper aim to identify specific threats, analyze the effectiveness of security measures, and provide a solution to protect sensitive medical data. In this paper, we propose an innovative approach to enhance security management for sensitive medical data using blockchain technology and smart contracts within the IoMT ecosystem. The proposed system aims to provide a decentralized and tamper-resistant platform that ensures data integrity, confidentiality, and controlled access. By integrating blockchain into the IoMT infrastructure, healthcare organizations can significantly enhance the security and privacy of sensitive medical data.


Design of an energy efficient dynamic virtual machine consolidation model for smart cities in urban areas
Nirmal Kr. Biswas, Sourav Banerjee, Uttam Ghosh, and Utpal Biswas
IOS Press
The growing smart cities in urban areas are becoming more intelligent day by day. Massive storage and high computational resources are required to provide smart services in urban areas. It can be provided through intelligence cloud computing. The establishment of large-scale cloud data centres is rapidly increasing to provide utility-based services in urban areas. Enormous energy consumption of data centres has a destructive effect on the environment. Due to the enormous energy consumption of data centres, a massive amount of greenhouse gases (GHG) are emitted into the environment. Virtual Machine (VM) consolidation can enable energy efficiency to reduce energy consumption of cloud data centres. The reduce energy consumption can increase the Service Level Agreement (SLA) violation. Therefore, in this research, an energy-efficient dynamic VM consolidation model has been proposed to reduce the energy consumption of cloud data centres and curb SLA violations. Novel algorithms have been proposed to accomplish the VM consolidation. A new status of any host called an almost overload host has been introduce, and determined by a novel algorithm based on the Naive Bayes Classifier Machine Learning (ML) model. A new algorithm based on the exponential binary search is proposed to perform the VM selection. Finally, a new Modified Power-Aware Best Fit Decreasing (MPABFD) VM allocation policy is proposed to allocate all VMs. The proposed model has been compared with certain well-known baseline algorithms. The comparison exhibits that the proposed model improves the energy consumption by 25% and SLA violation by 87%.


Blockchain-Enabled Communication Framework for Secure and Trustworthy Internet of Vehicles
Manju Biswas, Debashis Das, Sourav Banerjee, Amrit Mukherjee, Waleed AL-Numay, Utpal Biswas, and Yudong Zhang
MDPI AG
The emerging field of the Internet of Vehicles (IoV) has garnered significant attention due to its potential to revolutionize transportation and mobility. IoV enables the development of innovative services and applications that can enhance the efficiency, safety, and sustainability of transportation systems. However, ensuring secure and reliable communication among different components of an IoV system poses a critical challenge. This study proposes a blockchain-based communication framework for secure and trustworthy IoV applications. The framework utilizes blockchain technology’s decentralization and security features to create secure communication channels between IoV system components, including vehicles, infrastructure, and service providers. An identity management system is also integrated into the framework to authenticate and authorize users and devices, thereby preventing unauthorized access and data breaches. To assess the proposed framework’s effectiveness, real-world IoV scenarios were used to conduct experiments, and the results demonstrate that the framework can provide secure and trustworthy communication for IoV applications. The proposed blockchain-enabled communication framework provides a promising solution for addressing security and trust challenges in IoV communication systems.


Design and Development of a Fog-Assisted Elephant Corridor over a Railway Track
Manash Kumar Mondal, Riman Mandal, Sourav Banerjee, Utpal Biswas, Jerry Chun-Wei Lin, Osama Alfarraj, and Amr Tolba
MDPI AG
Elephants are one of the largest animals on earth and are found in forests, grasslands and savannahs in the tropical and subtropical regions of Asia and Africa. A country like India, especially the northeastern region, is covered by deep forests and is home to many elephants. Railroads are an effective and inexpensive means of transporting goods and passengers in this region. Due to poor visibility in the forests, collisions between trains and elephants are increasing day by day. In the last ten years, more than 190 elephants died due to train accidents. The most effective solution to this collision problem is to stop the train immediately. To address this sensitive issue, a solution is needed to detect and monitor elephants near railroad tracks and analyze data from the camera trap near the intersection of elephant corridors and railroad tracks. In this paper, we have developed a fog computing-based framework that not only detects and monitors the elephants but also improves the latency, network utilization and execution time. The fog-enabled elephant monitoring system informs the train control system of the existence of elephants in the corridor and a warning light LED flashes near the train tracks. This system is deployed and simulated in the iFogSim simulator and shows improvements in latency, network utilization, and execution time compared to cloud-based infrastructures.


A Secure Blockchain Enabled V2V Communication System Using Smart Contracts
Debashis Das, Sourav Banerjee, Pushpita Chatterjee, Uttam Ghosh, and Utpal Biswas
Institute of Electrical and Electronics Engineers (IEEE)



MECpVmS: an SLA aware energy-efficient virtual machine selection policy for green cloud computing
Riman Mandal, Manash Kumar Mondal, Sourav Banerjee, Gautam Srivastava, Waleed Alnumay, Uttam Ghosh, and Utpal Biswas
Springer Science and Business Media LLC



Blockchain Enabled SDN Framework for Security Management in 5G Applications
Debashis Das, Sourav Banerjee, Kousik Dasgupta, Pushpita Chatterjee, Uttam Ghosh, and Utpal Biswas
ACM
Fifth-generation (5G) wireless networks are now operational to deploy all over the world. The technology of 5G’s objective is to link heterogeneous machines and devices with significant improvements high quality of service (QoS), internet bandwidth, and improved system throughput to enable several upright applications. Despite all these benefits that 5G will provide, still, significant issues need to be resolved, such as decentralization, transparency, and risks associated with data interoperability, network privacy, and security vulnerabilities. Modern networks link an enormous number of devices to the Internet, and in this complicated situation, the use of BC and SDN has been effectively advocated to assure security, privacy, and secrecy. This study offers a blockchain-enabled SDN framework for securing transactions that makes use of Software Defined Network (SDN) and Network Function Virtualization (NFV) to overcome these issues. The proposed framework can address the man-in-the-middle attack between control and data plane in SDN networks. A controller authentication scheme is provided using smart contracts. Smart contracts automatically authenticate the SDN controller to increase the efficiency of controller verification. The communicated data can also be authenticated using smart contracts. The proposed framework can enhance network transparency, data security, and user privacy. Each SDN controller can access verifiable data using the proposed framework.