Ransomware Detection Using Behavioral and C&C Analysis
摘要
Cryptographic protocols are widely used to ensure secure communication and protect software and operating systems. However, these techniques can also be exploited by hackers and malware developers, particularly in the context of ransomware attacks. Ransomware, a persistent and well-recognized threat, continues to challenge organizations without any indication of diminishing soon. Cybercriminals have turned ransomware into a highly profitable venture by strategically targeting environments that maximize both their attack impact and financial gains. To effectively mitigate the risks linked with ransomware infections, organizations are placing significant emphasis on building robust cybersecurity capabilities. Nevertheless, prevailing solutions relying on signature-based detection do not aim to prevent infections or stop the emergence of new variants. Consequently, the development of new systems that concentrate on specific ransomware behaviors and activities emerges as a potent strategy to counter such attacks. This study advances our understanding of ransomware behaviors and operational dynamics through a systematic analysis of ransomware communication patterns with Command and Control (C&C) servers and the identification of novel detection metrics for ransomware recognition. By dissecting the mechanisms of C&C interactions and proposing actionable indicators, this research provides cybersecurity professionals with strategically valuable insights to develop proactive defense mechanisms against evolving ransomware threats.