Fake News Detection Using Machine Learning

Abstract— Malicious URLs have been widely used to mount various cyber-attacks including spamming, phishing and malware. Detection of some unreal URLs and identify there threat types are critical to handle. . Existing methods typically detect URLs of only one attack type.our method use variety of link structures,articles,journals web page contents, DNS information, and network traffic. Our experimental studies with so many benign URLs and few malicious URLs obtained from real-life Internet sources show that our method delivers a superior performance:. Keywords— URL, Web Threats, Cyber-attacks, Spamming