A5029814572- Cryptography and Data Security
- Cloud Data Security Solutions
- Privacy-Preserving Technologies in Data
- Energy Efficient Wireless Sensor Networks
- IoT and Edge/Fog Computing
- Mobile Agent-Based Network Management
- IPv6, Mobility, Handover, Networks, Security
- X-ray Diffraction in Crystallography
- Wireless Networks and Protocols
- Crystallography and molecular interactions
- Solar Radiation and Photovoltaics
- Chaos-based Image/Signal Encryption
- Mobile Ad Hoc Networks
- Urban and Rural Development Challenges
- Cloud Computing and Resource Management
- Network Traffic and Congestion Control
- Access Control and Trust
- Urban Design and Spatial Analysis
- Water Quality Monitoring Technologies
- Wireless Body Area Networks
- Security in Wireless Sensor Networks
- Photovoltaic System Optimization Techniques
- Crystallization and Solubility Studies
- Privacy, Security, and Data Protection
- IoT-based Smart Home Systems
Maulana Abul Kalam Azad University of Technology, West Bengal
2022-2023
University of Engineering & Management
2023
Techno India University
2022
Maulana Abul Kalam Azad Institute of Asian Studies
2019
Jadavpur University
2014-2017
Cognizant (India)
2011
This paper describes the architecture and design of WSN based applications integrated with cloud delivery model for a fast reliable data transmission to end users. The operational challenges Wireless Sensor Network (WSN) have increased need additional resource support from different paradigms. Cloud computing has emerged as powerful backbone providing better computation, processing communication. Inheriting advantages both Computing [CC], we propose here conceptual secure sensor model. Our...
Surveillance is becoming a need in any public or private area to cope up with increasing number of threats starting from burglary, robbery terrorist activities. The traditional methods for monitoring are commonly confined the use CCTV cameras wireless sensor network (WSN). These two techniques serve purpose different ways. help visual target whereas WSN helps acquiring physical information environment, like change thermal, chemical, magnetic conditions. In this paper we incorporate...
Data centric applications like remote healthcare application designed on a WSN-Cloud computing integrated architecture requires attention to its secure data management mechanism. A huge amount of is generated in health care application, which needs be managed efficiently so that fast and reliable communication access can take place among the end users. In this research work we have proposed flexible security model especially for cloud based scenario. This ensures confidentiality, integrity...
Cloud computing offers and allows users to use infrastructure, platforms, software as services. With the advent of mobile computing, cloud supporting services, a merger both these has opened new domain computing. Predictably, this given way large number issues coming forward, first foremost among them, being, security. This paper develops protocol suite that takes care an entire (MCC) system with respect specific application area. Patient monitoring providing subsequent medical in remote...
Data centric applications generating huge data need secure storage and regulated access. Because of growing expenses capacity management sensitive information, outsourcing is fast developing. Cloud computing offers potential advantages including cost savings improved business outcomes for keen on sharing spreading their own data. But while in cloud, the information controlled by an outsider, proprietor does not have full control at all stages. So, a few noteworthy issues concerns, example,...
A city has its dedicated spaces for public gatherings and other activities. Here in Kolkata, India, Durga Puja Festival transforms common residential neighbourhoods into ‘urban centres’. This is a seasonal transformation, comes once year. The identity of an urban place changed through social inclusion, temporary architectural installations, management solutions. Spaces enriched with different people’s overall cityscape being illuminated the couple days.
The increasing adoption of solar energy systems necessitates a comprehensive understanding factors influencing their efficiency. Shading is critical aspect that can significantly impact the power output modules. In this research, we employ deep learning techniques to quantify effects shading on module performance. By leveraging convolutional neural networks (CNNs) dataset collected from shaded and unshaded modules, develop model capable accurately predicting percentage in real-time.The...