Streak – Social Media Platform with Dynamic Identification of Spam Words, Phishing Urls, Misleading Products and Agencies

Social networking websites are growing prevalent online. Online users are more likely to spend time on social networking sites and other websites. Social media users make new friends while also exchanging information, ideas, and opinions. Customers may find a variety of helpful information on social networking sites. The amount of data on social media invites spammers who misuse the information. These spammers create fake accounts and send irrelevant information to actual customers. Spam messages may contain information like advertising for deceptive goods or dangerous phishing links meant to upset normal users. Spam on social media platforms is a major problem. Spam detection is a significant part of social media networking systems. Different spam detection algorithms have been developed by researchers to extract spam content from social media. We have utilized the machine learning model SVM (Support Vector Machine) and employed big data for data analytics as a classification strategy to identify spam in the social network. Blockchain is used to make it challenging to change saved data and to let users access it from several servers. SHA-256, digital signatures, and Merkle tree encryption are just a few of the techniques used to encrypt the data file.