4 Ransomware Detection Techniques to Catch an Attack
Ransomware detection is crucial for preventing extensive damage to business-critical data. Organisations can employ a variety of techniques to identify ransomware before it encrypts or exfiltrates information. This article delves into four methods: signature-based, behaviour-based, traffic-based, and deception-based detection, each with its unique approach to identifying malicious activity.
Key Points
- Signature-based detection compares file hashes to known malware signatures for quick identification.
- Behaviour-based detection analyses file changes and API calls to spot abnormal activities indicative of ransomware.
- Traffic-based detection monitors network patterns for unusual outgoing volumes that may suggest data exfiltration.
- Deception-based detection employs decoys to trick ransomware attackers, allowing for early alerts of suspicious activity.
- Adopting a layered approach combining these methods enhances overall ransomware detection effectiveness.
Why should I read this?
This article highlights vital techniques to strengthen cybersecurity against ransomware attacks, which remain a prevalent threat. Understanding these detection methods is essential for IT professionals and security teams to proactively defend against potential breaches and to ensure that organisations can take timely measures to mitigate damage.
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