{"title":"Federated Learning to Preserve the Privacy of User Data","authors":"Harsh Shah, Rutwik Patel, Prachi Tawde","doi":"10.1109/SICTIM56495.2023.10104860","DOIUrl":"https://doi.org/10.1109/SICTIM56495.2023.10104860","url":null,"abstract":"In today’s world, the most pressing problem is the privacy of users’ data. It becomes even more critical when dealing with medical data, which is extremely sensitive. On the other hand, traditional machine learning (ML) algorithms require a single centralized source of data, which frequently compromises data privacy because data must be shared in order for the algorithm to be trained. As a result, federated learning is utilized to train ML algorithms on local private data sets spread across many sites. This also safeguards the privacy of the data. Our suggested method attempts to diagnose two urinary system diseases. We begin by training our model with logistic regression. Then, in order to simulate federated learning, we divided our data set into three sections. Then, each party trains the ML model on its local data set, and all of the updates from the local models are delivered to the trusted aggregator, which averages all of the updates. The averaged model is then sent to all individual parties at the start of each iteration. This entire system aids in the successful identification of two urinary system disorders by utilizing federated learning and distributed data principles in which data is not shared between individual parties and remains in distinct locations, considerably improving the privacy of such sensitive data.","PeriodicalId":244947,"journal":{"name":"2023 Somaiya International Conference on Technology and Information Management (SICTIM)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122177897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Boosting D2C (Direct-to-Consumer) Websites with Search Engine Optimisation (SEO)","authors":"Manika Daruka, M. Damle","doi":"10.1109/SICTIM56495.2023.10104723","DOIUrl":"https://doi.org/10.1109/SICTIM56495.2023.10104723","url":null,"abstract":"A search engine is a computer program created to systematically browse the Internet for specific information provided in a text-based web search query. Typically, the search findings can be found in a summary of the outcomes, also known as search engine results pages. A search engine maintains the following operations in almost real-time for web crawling, indexing, and searching. The search engine searches for the exact words or phrases that are entered. Some engines have a sophisticated function called proximity search that lets users specify the separation amongst terms. There is searching based on concepts, which involves performing statistic-based analytics on web pages with searched keywords or phrases. The optimisation terms in SEO (Search Engine Optimisation) are used for increasing website traffic through search engine results, which helps websites perform better on pages returned by search engines. SEO increases a website’s visibility to users of search engines like Yahoo!, Google, and Bing searching for or looking into solutions that the product or brand can deliver. The focus of this article is to validate that the most significant impact of SEO is that it increases traffic to the website. This descriptive paper uses qualitative research to understand the best SEO tool available. The solution is provided by analysing the collected data from research papers, articles, professional reports, websites of solution providers and whitepapers","PeriodicalId":244947,"journal":{"name":"2023 Somaiya International Conference on Technology and Information Management (SICTIM)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128843584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of Covid Pandemic on OTT Streaming Services","authors":"Vinayak Chaudhari, M. Damle","doi":"10.1109/SICTIM56495.2023.10105083","DOIUrl":"https://doi.org/10.1109/SICTIM56495.2023.10105083","url":null,"abstract":"Starting from Cable connections to various options in satellite TV brands, the transition paved the way gradually for free content on applications like YouTube, which further led to the demand for quality content on OTT platforms. Over-the- Top or OTT is the abbreviation for “over-the-top” which is a new age streaming of films and TV series over the web without the need for traditional cable, or satellite pay- TV providers; the consumers can stream across multiple gadgets according to our time convenience. Beginning in the late 90s, the early 2000s marked the era of Television streaming in India. The first OTT application launched in India was BigFix, which changed the course of content consumption in our country. The Television industry once driven by cable and satellite operators has transitioned into a consumer-driven domain. Unlike TV, which requires a cable connection or an antenna, OTT material is delivered directly over Online platforms and paid for directly by viewers. The implications are that the consumers may get OTT services including video, voice, messaging and audio services, at any time and from any location, which serves to be a significant advantage over traditional TV programming. In this paper, we focus on how this paradigm change took place and what impact it has created, especially since the pandemic.","PeriodicalId":244947,"journal":{"name":"2023 Somaiya International Conference on Technology and Information Management (SICTIM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115303667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}