Advancing Malware detection through cloud-based centralized database and digital bioinformatics

What is it about?

Cloud computing has changed the IT industry by offering flexibility, versatility, and cost-effectiveness. Nevertheless, its intricate infrastructure and numerous services make it prone to malware attacks, thereby raising crucial security issues. This issue often worsens because traditional detectors cannot identify metamorphic or encrypted malware, which makes them ineffective in many cases. In this study, we propose a new method for tracking malware in cloud computing using DNA markers. Using powerful digital bioinformatics tools that can analyze nucleotide sequences and find areas of similarity, this system creates a single database in the cloud. The proposed hybrid static/dynamic detection system ensures a high rate of malware identification, bolstering security in cloud environments. Implementing DNA marker-based detection, the system provides superior protection against evasion-based malwares This approach is one step forward towards enhancing safety on clouds and alleviating threats caused by highly-sophisticated malicious codes.

Featured Image