Sourav Banerjee
@kgec.edu.in
ASST PROFESSOR, COMPUTER SCIENCE AND ENGINEERING
KALYANI GOVERNMENT ENGINEERING COLLEGE
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
Scopus Publications
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.
Rakhi Chakraborty, Kousik Dasgupta, Debashis Das, Sourav Banerjee, and Uttam Ghosh
Springer Nature Switzerland
Manju Biswas, Subhajit Mallick, Shounak Bose, Ghanashyam Nandi, Sourav Banerjee, and Utpal Biswas
Springer Nature Switzerland
Sourav Banerjee, Sudip Barik, Debashis Das, and Uttam Ghosh
Springer Nature Switzerland
Debashis Das, Sourav Banerjee, Pushpita Chatterjee, Uttam Ghosh, and Utpal Biswas
Institute of Electrical and Electronics Engineers (IEEE)
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.
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%.
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.
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.
Debashis Das, Sourav Banerjee, Pushpita Chatterjee, Uttam Ghosh, and Utpal Biswas
Institute of Electrical and Electronics Engineers (IEEE)
Riman Mandal, Manash Kumar Mondal, Sourav Banerjee, Gautam Srivastava, Waleed Alnumay, Uttam Ghosh, and Utpal Biswas
Springer Science and Business Media LLC
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.
Debashis Das, Sourav Banerjee, Pushpita Chatterjee, and Uttam Ghosh
IEEE
In light of the rapidly evolving digital landscape, the necessity of addressing trust, privacy, and security issues has surged to the forefront for individuals, organizations, and governments. It is essential to grasp and implement effective tools, strategies and benchmarks to safeguard personal data, ensure privacy, and bolster security. This underscores the significance of employing efficient methods, approaches, and metrics to tackle these concerns. In light of this, this paper offers an overview of trust, privacy, and security issues specific to various applications, along with a range of techniques and strategies for their resolution. It showcases an array of technologies and approaches that can be harnessed to fortify the protection of sensitive information, bolster confidence in digital networks, and enhance security protocols. In this study, we have conducted a comprehensive analysis of tools designed to enhance security and privacy, along with techniques aimed at safeguarding these vital aspects. We have also explored the metrics employed for evaluating trust, privacy, and security in digital environments. Our research has also delved into the challenges and future directions within this domain, providing a holistic perspective on the evolving landscape of digital trust, privacy, and security. The ultimate objective of this study is to contribute to the formulation of comprehensive strategies that advance trust, privacy, and security in the digital age by examining these core components and sharing our insights for the development of such strategies.
Sourav Banerjee, Debashis Das, Pushpita Chatterjee, Benjamin Blakely, and Uttam Ghosh
Institute of Electrical and Electronics Engineers (IEEE)
Sourav Banerjee, Sudip Barik, Debashis Das, Uttam Ghosh, and Narayan C. Debnath
Springer Nature Switzerland
Sourav Banerjee, Debashis Das, Pushpita Chatterjee, and Uttam Ghosh
IEEE
A digital twin (DT) is a virtual replica of a physical system that allows simulation, optimization, and predictive maintenance. Its challenges include the need for accurate and up-to-date data as well as the complexity of integrating different systems and technologies. This paper explores the potential of combining digital twin and blockchain technologies to create next-generation transportation systems that are more efficient, secure, and sustainable. DTs can be used to simulate and optimize transportation operations and maintenance, while blockchain can enhance security and transparency in data exchange and transaction verification. By integrating these technologies, transportation systems can become more resilient, adaptable, and responsive to changing demands and challenges. This paper provides an overview of the key concepts and applications of DTs and blockchain in transportation, including use cases such as autonomous vehicles, smart logistics, and mobility as a service. It also discusses the technical and organizational challenges of implementing these technologies and suggests potential solutions and research directions. Specifically, this paper argues that DT and blockchain technologies have the potential to transform transportation systems into more efficient, sustainable, and equitable systems that can meet the needs of present and future generations.
Debashis Das, Sourav Banerjee, Pushpita Chatterjee, Uttam Ghosh, Wathiq Mansoor, and Utpal Biswas
IEEE
The Internet of Vehicles (IoV) has become a remarkable vehicular communication network for exchanging information between vehicles and other infrastructures. It plays a significant role in the Intelligent Transport System (ITS) by improving vehicle safety and traffic efficiency. However, trust management in IoV suffers in existing systems, even utilizing blockchain. Blockchain is a decentralized and secure technology that improves the security and privacy of incorporating applications. Many researchers proposed various blockchain-enabled IoV applications to enhance trust in the IoV network. But these suffer from vehicle safety, secure authentication mechanism, and higher computational cost. This paper presents a review of existing Blockchain-enabled IoV systems and analyzes them. Therefore, a blockchain-enabled IoV framework has been proposed to increase the trust among all connected nodes in the blockchain network. A 3-step authentication algorithm has been presented to enhance trust management in the IoV system. The proposed framework can establish secure communication among all connected entities. The implementation of the proposed framework assures the trustworthiness of the IoV network.
Manash Kumar Mondal, Riman Mandal, Sourav Banerjee, Pushpita Chatterjee, Wathiq Mansoor, and Utpal Biswas
IEEE
Visitor identification is one of the vital problems of society. The visitor identification process consists of an intelligent security camera that monitors the entrance of the door of a residence, taking pictures of the human when they enter, automated techniques extract the human face from the image and identify them with the help of a database in real-time. However, there is no such existing research that can deal with visitor identification using fog computing. In this paper, a visitor identification framework is proposed that is entirely deployed in the fog computing environment. The proposed prototype is deployed in the Java-based iFogSim simulator. Each simulation uses a different number of cameras for video stream generations. The human object part is trimmed and selected from the raw data for processing. The trimmed data is transferred to the fog node instead of the cloud for processing. This paper deals with how the generated data pass through each module and takes how much amount of time to process the data in distinct modules. Generally, the fog-based framework reduces latency, network usage, and energy consumption. The research finds an improvement in overall latency and network usage of fog computing environments over the cloud environment.
Debashis Das, Sourav Banerjee, Rakhi Chakraborty, Kousik Dasgupta, Pushpita Chatterjee, and Uttam Ghosh
IEEE
Cyber-Physical Systems (CPS) are becoming increasingly common in various domains, including industrial control systems, smart cities, and healthcare. However, the security of CPS is a major concern due to its interconnected and heterogeneous nature. In this paper, we propose a Blockchain-based security management framework for CPS to address the security challenges of CPS. The framework leverages the unique features of Blockchain, such as decentralization, immutability, and transparency, to ensure the integrity and confidentiality of data exchanged among devices. We describe the architecture of the proposed framework and explain its key components, including Blockchain nodes, smart contracts, and security policies. Our work contributes to the field of CPS security by providing a novel approach to secure CPS using Blockchain technology. The proposed framework can be applied to various domains, including smart cities, healthcare, and industrial control systems. The framework can also be extended to handle more advanced security scenarios, such as dynamic security policies and real-time threat detection. In this framework, we build a decentralized controller-to-controller (C2C) communication system to make CPS more scalable, secure, private, and reliable. We make a miner-as-a-controller selection algorithm to choose a miner controller for a given session.
Manash Kumar Mondal, Riman Mandal, Sourav Banerjee, Monali Sanyal, Uttam Ghosh, and Utpal Biswas
IEEE
Real-time monitoring is necessary for saving endangered wildlife. The camera-trapping technology is used to monitor wild animals like tigers, lions, bears etc. in forests. Due to changes in the forest echo system and the expansion of human civilization near the forest, tigers often enter the villages. As a consequence, the Tiger-Human conflict occurs more frequently. Typically, cloud computing technologies are used for storing and processing the image data generated from trap cameras. A wildlife monitoring system is a time-sensitive application, and processing and decision-making using cloud computing are relatively slow. Timeliness and quick response are essential for these types of applications. Highlighting this issue, this article focuses on the design and development of a fog-assisted tiger alarming framework that detects tigers in the corridor. The application also delivers systematic alerts to the villagers. Therefore, the conflict between humans and tigers will reduce. For comparison, we have deployed the same model in a cloud computing environment. The proposed framework is simulated in the iFogSim simulator. The outcome exhibits that the proposed fog-based model successfully reduces latency and network usage compared to the traditional cloud-based model. The comparative analysis also indicates a significant improvement in the execution time over the cloud system.
Debashis Das, Sourav Banerjee, Pushpita Chatterjee, Uttam Ghosh, Utpal Biswas, and Wathiq Mansoor
IEEE
Cyber-Physical Systems (CPS) have been growing in the evolution of interaction with the physical world. CPS can control and manages applications of the physical world around us. However, most traditional CPS-based systems have been designed and developed within the centralized system, which can violate security, trust, and privacy (STP). Blockchain is a potential solution to realizing CPS. It can provide data security and privacy through block hash generation and transaction validation schemes. Blockchain applications can enhance the performance of CPS through the peer-to-peer (P2P) communication mechanism. In this paper, we have described several challenges of CPS applications (i.e., smart grids and connected vehicles) and provided blockchain-based solutions to address STP challenges. The benefits of blockchain in CPS have been discussed in this paper. We also proposed a blockchain-enabled CPS and discussed the integration process of blockchain in several components of CPSs. The proposed solutions enhance the performance of CPS concerning security, privacy, and trust management.
Manash Kumar Mondal, Riman Mandal, Sourav Banerjee, U. Biswas, Pushpita Chatterjee and Waleed S. Alnumay
Debashis Das, Sourav Banerjee, Puspita Chatterjee, Manju Biswas, Utpal Biswas, and Waleed Alnumay
Springer Science and Business Media LLC