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Papers tagged with "Bot Detection"
SURVEY ON PHISNET AI - PROACTIVE DEFENSE AGAINST MALICIOUS URL’s
This Project Presents PhishNet AI, A Proactive And Intelligent Mobile-based Security Framework Designed To Detect And Prevent Phishing Attacks Caused By Malicious URLs. With The Rapid Increase In Digital Communication Through SMS, Emails, A...
MALICIOUS SOCIAL BOT USING TWITTER NETWORK ANALYSIS IN DJANGO
Malicious Social Bots Generate Fake Tweets And Automate Their Social Relationships Either By Pretending Like A Follower Or By Creating Multiple Fake Accounts With Malicious Activities. Moreover, Malicious Social Bots Post Shortened Maliciou...
T2S Based Social Media Bot Detection Using Machine Learning
Recently, Due To The Rapid Development Of Online Social Networks (OSNs) Such As Facebook, Twitter, And Weibo, The Number Of Calculators/social Bots That Imitate Human Users Has Increased. As Artificial Intelligence (AI) Improves, Social Bot...
REVIEW ON BOT DETECTION ON SOCIAL MEDIA
Social Bots Are Computer Algorithms In Online Social Networks. They Can Share Messages, Upload Pictures, And Connect With Many Users On Social Media. Social Bots Are More Common Than People Often Think. Twitter Has Approximately 23 Million...