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What is the difference between signature and anomaly?

What it is: Signature-based and anomaly-based detections are the two main methods of identifying and alerting on threats. While signature-based detection is used for threats we know, anomaly-based detection is used for changes in behavior.

What is signature-based detection in cyber security?

Definition of signature-based detection : noun An approach to detecting mallware in which a unique identifier, normally a specific string of code or the hash of known malicious code, is established as associated with some piece of malware.

What is an advantage of anomaly detection over signature detection?

Anomaly-based detection is effective against new or unknown attacks, or variants of existing attacks, that do not have a signature. It is also adaptive and dynamic, as it can learn from the network behavior and update the baseline ingly.

What are the pros and cons of signature-based detection?

This approach focuses on specific attacks and is extremely accurate at lowering the rate of false positives. It is easy to implement and manage and is constantly being updated. Cons: Signature-based malware detection does have its drawbacks. The main downside is that it can only detect known attacks.

What is the difference between anomaly-based and behavior based?

Behavioral-based detection differs from anomaly-based detection. Behavioral-based detection records expected patterns concerning the entity being monitored (ex. user logins). Anomaly-based detection prescribes the baseline for expected patterns based on its observation of what normal looks like.

What is anomaly-based and signature-based detection system?

While signature-based detection compares behavior to rules, anomaly-based detection compares behavior to profiles [1]. These profiles still need to define what is normal, like rules need to be defined.

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