4 Ransomware Detection Techniques to Catch an Attack
In the battle against ransomware, early detection is crucial. Understanding various ransomware detection methods can help organisations minimise damage before a ransom demand occurs. The article explores four key techniques: signature-based, behaviour-based, traffic-based, and deception-based detection, each offering unique advantages in identifying ransomware threats.
Key Points
- Signature-based detection compares file hashes to known malware signatures to identify threats quickly.
- Behaviour-based detection monitors file system changes and API calls to detect anomalies indicative of ransomware activity.
- Traffic-based detection assesses network traffic for unusual patterns, such as spikes in outgoing data.
- Deception-based detection uses decoys to lure attackers away from real assets, helping to identify suspicious activities.
- Implementing a layered approach combining these methods enhances the overall security posture against ransomware attacks.
Why should I read this?
This article provides vital insights into effective ransomware detection methods, which are essential for organisations looking to protect themselves against increasingly sophisticated cyber threats. Understanding these techniques not only helps in preparing for potential attacks but also enhances overall cybersecurity awareness and readiness.