Thesis Chapters by Deepali Jawale
Smart agriculture has become one of the most popular technologies for farmers due to its simplici... more Smart agriculture has become one of the most popular technologies for farmers due to its simplicity, ease of deployment, high efficiency, and low overheads. But due to an exponential increase in smart-farming data generation, it is necessary to design secure storage interfaces, that can be scaled for multiple farms. Existing storage models either showcase high security, or high storage efficiency, but a very few models enhance both these parameter sets. Such models are highly complex, and reduce the scalability when applied to large-scale scenarios. To overcome these limitations, this text proposes design of a highly efficient and secure agriculture-record-storage model via reconfigurable blockchains. The proposed model initially uses a multiple crop pattern prediction system via Binary Cascaded Convolutional Neural Network (BC CNN), and deploys a single chained Proof-of-Trust (PoT) based blockchain, that is tuned w.r.t. context of the farms. The prediction is done via weather conditions and soil types. This assists in identification of different crop types, and selection of high trust miner nodes, that can preserve privacy during communication and storage operations. As the blockchain is scaled, a Grey Wolf Optimization (GWO) based model is deployed, which assists in splitting the underlying chain into multiple sidechains. This split is done based on QoS and Security optimizations, which is estimated via temporal miner performance under different farm types. The GWO Model also assists in estimating long-term and high-capacity storage chains, which can be used for archival operations. Due to which, the proposed model is able to improve mining speed by 9.4%, while reducing the energy consumption by 3.5% for different mining operations. The model also defines an indexing strategy for different shards, which assists in increasing data access speed by 12.8% for long-term data sets. Due to these enhancements, the proposed model is capable of deployment for large-scale scenarios.
Papers by Deepali Jawale
Journal of ambient intelligence & humanized computing/Journal of ambient intelligence and humanized computing, Mar 23, 2024
Smart agriculture has become one of the most popular technologies for farmers due to its simplici... more Smart agriculture has become one of the most popular technologies for farmers due to its simplicity, ease of deployment, high efficiency, and low overheads. But due to an exponential increase in smart-farming data generation, it is necessary to design secure storage interfaces, that can be scaled for multiple farms. Existing storage models either showcase high security, or high storage efficiency, but a very few models enhance both these parameter sets. Such models are highly complex, and reduce the scalability when applied to large-scale scenarios. To overcome these limitations, this text proposes design of a highly efficient and secure agriculture-record-storage model via reconfigurable blockchains. The proposed model initially uses a multiple crop pattern prediction system via Binary Cascaded Convolutional Neural Network (BC CNN), and deploys a single chained Proof-of-Trust (PoT) based blockchain, that is tuned w.r.t. context of the farms. The prediction is done via weather conditions and soil types. This assists in identification of different crop types, and selection of high trust miner nodes, that can preserve privacy during communication and storage operations. As the blockchain is scaled, a Grey Wolf Optimization (GWO) based model is deployed, which assists in splitting the underlying chain into multiple sidechains. This split is done based on QoS and Security optimizations, which is estimated via temporal miner performance under different farm types. The GWO Model also assists in estimating long-term and high-capacity storage chains, which can be used for archival operations. Due to which, the proposed model is able to improve mining speed by 9.4%, while reducing the energy consumption by 3.5% for different mining operations. The model also defines an indexing strategy for different shards, which assists in increasing data access speed by 12.8% for long-term data sets. Due to these enhancements, the proposed model is capable of deployment for large-scale scenarios.
2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
International Journal of Advanced Research in Science, Communication and Technology, 2021
The project entitled “Arduino Based Hand Sanitizer Dispenser using Infrared/Ultrasonic Sensor and... more The project entitled “Arduino Based Hand Sanitizer Dispenser using Infrared/Ultrasonic Sensor and Image Processing with Automated Vehicle” to ensure contactless sanitization. This model combines the implementation of Internet of Things and image processing. The main purpose of this project is to make use of automated technology so that human contact can be reduced. This model provides camera facility to detect objects & functions accordingly. The main idea is to ensure cleanliness in crowded places and to provide an easy, cheap and quick mode of sanitization. The proposed model will allow the citizens to maintain cleanliness efficiently. Most of the research in automation currently involves using the on-board sensors on the object to collect information regarding surrounding. This project works on a brief idea about the automatic hand sanitizer mounted on a automated robo car.
Many systems use servers to manage and store their data, sometimes the servers are slowed down be... more Many systems use servers to manage and store their data, sometimes the servers are slowed down because of multiple user requests. Most of which are attackers or unauthorized users and some are genuine users. In computing, a denial-of-service (DoS) attack is an attempt to make a machine or network resource unavailable to its intended users. A Distributed Denial of Service (DDoS) attack is an attempt to make an online service unavailable by overwhelming it with traffic from multiple sources. They target a wide variety of important resources, from banks to news websites, and present a major challenge to making sure people can publish and access important information. A distributed denial-of service (DDoS) is where the attack source is more than one, often thousands of unique IP addresses. Flooding is one of the typical DDoS attacks that exploit normal TCP connections between a client and a target web server. In this project we are trying to devise a DDoS anomaly detection method on Clo...
In this project we are implementing the E-FIR (First Information Report) system with chatbot inte... more In this project we are implementing the E-FIR (First Information Report) system with chatbot integration for the public use. Because number of cases are increasing day by day and looking at the current situation of COVID-19 we have decided to implement the ONLINE portal. It is also, designed to bridge the gap between the police and the common people. Generally, many crimes are seen by the citizens but most of the crime are not registered due to the tedious and hectic process. In this project we are implementing the easiest way so that people can register their compliant easily, for that we have introduced the chatbot for registering the complaint or we can also choose the option given in the chatbot to register the complaint. We can also, monitor the registered complaint that we have done. For this we are using the Cloud Computing which can help Government to speed up in rolling out of e-Governance projects and to reach out it to a larger number of people in a short period. Since, G...
Smart Computing Techniques and Applications, 2021
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Thesis Chapters by Deepali Jawale
Papers by Deepali Jawale