Asad Iqbal1, Mehdi Hussain1,*, Qaiser Riaz1, Madiha Khalid1, Rafia Mumtaz1, Ki-Hyun Jung2,*
CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1693-1714, 2025, DOI:10.32604/cmc.2025.064260
- 29 August 2025
Abstract Ransomware, particularly crypto-ransomware, remains a significant cybersecurity challenge, encrypting victim data and demanding a ransom, often leaving the data irretrievable even if payment is made. This study proposes an early detection approach to mitigate such threats by identifying ransomware activity before the encryption process begins. The approach employs a two-tiered approach: a signature-based method using hashing techniques to match known threats and a dynamic behavior-based analysis leveraging Cuckoo Sandbox and machine learning algorithms. A critical feature is the integration of the most effective Application Programming Interface call monitoring, which analyzes system-level interactions such as file More >