4 Ransomware Detection Techniques to Catch an Attack
Ransomware detection is crucial for protecting business-critical data. This article discusses methods to identify ransomware attacks early, focusing on four distinct detection techniques: signature-based, behaviour-based, traffic-based, and deception-based detection.
Key Points
- Signature-based detection identifies known malware signatures, offering quick static analysis.
- Behaviour-based detection looks for unusual actions to flag potential compromises, such as abnormal file activities and suspicious API calls.
- Traffic-based detection monitors network patterns for anomalies like unexpected data exfiltration.
- Deception-based detection employs decoys, such as honeypots, to lure and identify attackers.
- A multi-layered approach is recommended for more effective ransomware detection and prevention.
Why should I read this?
This article is vital for organisations looking to bolster their cybersecurity measures against ransomware attacks. With the landscape of cyber threats evolving, understanding these detection techniques can significantly enhance an organisation’s ability to prevent data breaches and secure sensitive information.