4 Ransomware Detection Techniques to Catch an Attack
Ransomware prevention is crucial, but early detection of an attack is equally important. Understanding how to identify ransomware before it can corrupt or steal vital data is essential for any organisation. This article introduces four effective ransomware detection techniques: signature-based, behaviour-based, traffic-based, and deception-based detection.
Key Points
- Signature-based detection compares ransomware samples to known malware signatures, providing a quick analysis but is less effective against new threats.
- Behaviour-based detection focuses on abnormal actions in the network, such as unusual file modifications or suspicious remote access attempts.
- Traffic-based detection monitors network activity for anomalies such as unexpected increases in outgoing data, which may indicate a successful attack.
- Deception-based detection uses fake assets within the network to identify and trap attackers, providing clear indicators of malicious activity.
- A layered approach combining multiple detection methods improves the chances of detecting ransomware and mitigating its effects.
Why Should I Read This?
This article is vital for organisations looking to bolster their cybersecurity against ransomware threats. With ransomware attacks on the rise, understanding these detection techniques can help security teams identify and neutralise threats before they escalate, protecting sensitive data and ensuring operational continuity.
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