Signature-based Detection
Signature-based detection is a method of identifying known patterns or signatures in data to detect the presence of a specific threat or malware. In the context of data science and artificial intelligence, signature-based detection is commonly used in cybersecurity to identify and prevent attacks. This method involves creating a database of known signatures or patterns of malicious code, and then scanning incoming data for matches. If a match is found, the system can take action to block or quarantine the threat. Signature-based detection is effective against known threats, but it may not be able to detect new or unknown threats that do not match any existing signatures.
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