Online Guard: Identifying the misinformation in social media and its impact on COVID-19 vaccination progress in different countries

The emergence of the novel coronavirus pandemic has caused a myriad of problems worldwide. One such problem is misinformation, which in itself should be considered a risk. Since the outbreak of the COVID-19 pandemic, popular social media platforms are flooded by exaggerated phony news which is affecting our society, well-being and public safety. Many of the online falsehoods don't have apparent sources or intentions, rather, some niche groups often start mobilizing to endorse their agendas through the rumors. Although the pertinent tools and existing techniques can support fact-checking and identification of conspiracy, misinformation and negative sentiment at various stages, a complete end-to-end solution is complicated. In this paper, we propose a thorough analysis and identification system named Online Guard using natural language processing tools and supervised learning techniques to identify the relationship between misinformation from the negative sentiment of COVID-19 vaccine-related tweets and vaccination progress rate and its impact in different countries. For this purpose, we will use a COVID-19 all vaccines tweet dataset to identify and analyze misinformation, and another dataset named country vaccination that shows vaccine rollout and vaccination progress in different countries. The aim of this project is to identify the relationship between spreading misinformation, negative emotions on Twitter, and its impact on vaccination progress for a particular time period

Image Based Password Authentication System

Preservation of information and computer security is broadly dependent on the secured authentication system which is underpinned by password. Text based password is a commonly used and available system for authentication. But it bears many limitations like shoulder surfing, dictionary attack, Phishing, guessing the password etc. In order to overwhelm these vulnerabilities of ancient textual password, many graphical or image based password authentication system has been introduced form last few years. But none of this graphical system is considered as enough adventurous to keep pace with these issues. Here we have proposed an image based password authentication system which is more methodical and can cope up with every vulnerability of recent password authentication system. To make our system hassle free and more reliable, we will only take username from an user for registration purpose as our system will generate a unique key number for that particular user and this key will be used as password for later login procedure. The user name and key both will be encrypted using a cryptography algorithm to prevent database hacking. There will be a randomized clickable image grid in our system. By clicking on this image grid, user will input the password key for login purpose. Here we have developed another method namely shoulder surfing resistant password. To prevent the attack of shoulder surfing, if any user wishes to change our system provided password key then he or she is allowed to do so by using this method. Besides this method allows user to change the password every single time of login. A user doesn't need to enter any textual password for authentication in our recent module and hence combination of all these features improve the security, usability and user friendliness of our system