Articles Tagged with Machine Learning

Adsense Fraud

AdSense click fraud includes self-clicking, bots, and manipulated ad code. Networks use automated and manual systems to detect invalid clicks, which can lead to withheld earnings, account bans, and in serious cases legal action. Follow AdSense policies and monitor traffic quality to avoid penalties.

Spam Blockers

Spam evolved from nuisance ads into phishing and malware vectors. Modern defenses rely on layered filters, authentication standards (SPF, DKIM, DMARC), sandboxing, and machine learning to reduce risk and keep inboxes usable.

Microsoft Antispam

Microsoft's modern antispam and email security (EOP, Defender for Office 365) use layered detection - reputation, ML, sandboxing, and URL checks - to block malware and phishing. Pair these services with user habits like not opening unknown mail and enabling MFA.