
Rashmi P Sarode- Doctor of Philosophy
- Researcher at Indian Institute of Technology Madras
Rashmi P Sarode
- Doctor of Philosophy
- Researcher at Indian Institute of Technology Madras
Engaged in developing secure data storage systems using Distributed Ledger Technology (DLT).
About
19
Publications
9,515
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Introduction
Rashmi P. Sarode currently works at the Department of Computer Science and Engineering at IIT Madras. Rashmi is engaged in developing secure data storage systems using Distributed Ledger Technology (DLT) and this involves encrypted, immutable records and a network of specialized nodes to ensure data integrity and privacy.
Skills and Expertise
Current institution
Publications
Publications (19)
The music industry is facing challenges in engaging fans and providing transparency, feedback, and rewards. Blockchain technology presents a potential solution by enabling new forms of fan engagement and participation. This paper proposes a blockchain-based music platform that leverages Ethereum’s decentralized platform and smart contract functiona...
The maintenance of proper health records is essential to patient health care. Electronic Health Records (EHR) are now replacing traditional Manual Health Records. Audit logs or Audit Trails are a record of events and changes done in a system. Majority of hospitals are required to maintain an audit trail of each and every EHR. Currently, the audit t...
Smartphones, tablets, and other mobile devices have grown exponentially over the last two decades. In the past, people relied on reading paper books or newspapers to learn about the world around them but now have switched to reading from digital text files or the Internet. Consequently, the demand for eBooks has increased significantly. Traditional...
The rise of big data has resulted in the proliferation of numerous heterogeneous data stores. Even though multiple models are used for integrating these data, combining such huge amounts of data into a single model remains challenging. There is a need in the database management archives to manage such huge volumes of data without any particular str...
There are extremely large heterogeneous databases in the astronomical data domain, which keep increasing in size. The data types vary from images of astronomical objects to unstructured texts, relations, and key-values. Many astronomical data repositories manage such kinds of data. The Zwicky Transient Facility (ZTF) is one such data repository wit...
Polystore systems have been recently proposed as a new data integration model to provide integrated access to heterogeneous data stores through a unified single query language. Recently, there is a growing interest in the database community to manage large scale unstructured data from multiple heterogeneous data stores. Special attention is garnere...
Blockchain consists of networks of successive blocks that are interconnected to each other by references to their former block. These form a chain. Blockchain technology creates a database like support by creation of digital ledgers, in order to support distributed transactions.The adoption of blockchain in real-world applications poses many challe...
The increase in number of smartphones and their applications generates new demands. Smartphones require a higher level of processing power and computation capability. Mobile devices use batteries so their capacity is limited and wireless connectivity also hinders the processing power. Thus, mobile devices being small tend to depend on the server-si...
It is becoming increasingly popular to publish data on the web in the form of documents. Segment-search is a semantic search engine for web documents. It presents a query language. It is suitable for skilled and semi-skilled domain experts, who are adept at the use of a specific collection of documents. It returns suitable documents selected by usi...
Handling large datasets can be a big challenge in case of most astronomical data repositories. Many astronomical repositories manage images, text, key-values, and graphs that make up the enormous volume of data available in the astronomical domain. Palomar Transient Factory (PTF/iPTF) is one such project which has relational data, image data, light...
Recently, the database research community faces a challenge of managing a large amount of heterogeneous data. Various scientific data archives are using different techniques to handle such data efficiently. Like many other scientific domains, astronomy also has data archives which consist of a large amount of data, different data models and a varie...
Large scale scientific data sets are often analyzed for the purpose of supporting workflow and querying. User need to query over different data sources. These systems manage intermediate results. Most prototypes are complex and have an ad hoc design. These require extensive modifications in case of growth of data and change of scale, in terms of da...
In the application of Computer Science, the performance of classification is generally improved by using supervision in the form of pair wise (must-link and cannot-link) constraints. This paper introduces a rigorous Bayesian framework for semi-supervised clustering which incorporates human supervision in the form of pair wise constraints both in th...
This paper presents a comparative study between message digest algorithm, its versions and RSA algorithm. Also a comparison between it and the available algorithms in literature has been made. The main goal is to provide information about message digest in the prescriptive of hash as well as RSA in the prescriptive of asymmetric key concept. As an...