This demonstration presents CryptojackingTrap, an advanced cryptojacking malware detection solution that stands out among similar works due to its superior evasion resilience. The demonstration covers the architecture, design, and implementation of CryptojackingTrap, highlighting its effectiveness in detecting cryptojacking attempts, even in scenarios where attackers employ evasion techniques to reduce the hash rate by up to tenfold. The evaluation includes rigorous experimental testing against both miner and non-miner executables. This demonstration provides cybersecurity specialists with a deep understanding of the algorithm, showcasing its robustness and potential for extension, and offering insights into benchmarking detection solutions using publicly available datasets and opensource codebases.
This demonstration presents CryptojackingTrap, an advanced cryptojacking malware detection solution that stands out among similar works due to its superior evasion resilience. The demonstration covers the architecture, design, and implementation of CryptojackingTrap, highlighting its effectiveness in detecting cryptojacking attempts, even in scenarios where attackers employ evasion techniques to reduce the hash rate by up to tenfold. The evaluation includes rigorous experimental testing against both miner and non-miner executables. This demonstration provides cybersecurity specialists with a deep understanding of the algorithm, showcasing its robustness and potential for extension, and offering insights into benchmarking detection solutions using publicly available datasets and open-source codebases.
Demo - Unmasking the Unseen: CryptojackingTrap, the Most Resilient Evasion-Proof Cryptojacking Malware Detection Algorithm / Zareh Chahoki, Atefeh; Shahriari, Hamidreza; Roveri, Marco. - ELETTRONICO. - (2024), pp. 1-4. ( 16th IEEE International Workshop on Information Forensics and Security, WIFS 2024 Italy, Rome 02-05 December 2024) [10.1109/WIFS61860.2024.10810677].
Demo - Unmasking the Unseen: CryptojackingTrap, the Most Resilient Evasion-Proof Cryptojacking Malware Detection Algorithm
Zareh Chahoki, Atefeh
;Roveri,Marco
2024-01-01
Abstract
This demonstration presents CryptojackingTrap, an advanced cryptojacking malware detection solution that stands out among similar works due to its superior evasion resilience. The demonstration covers the architecture, design, and implementation of CryptojackingTrap, highlighting its effectiveness in detecting cryptojacking attempts, even in scenarios where attackers employ evasion techniques to reduce the hash rate by up to tenfold. The evaluation includes rigorous experimental testing against both miner and non-miner executables. This demonstration provides cybersecurity specialists with a deep understanding of the algorithm, showcasing its robustness and potential for extension, and offering insights into benchmarking detection solutions using publicly available datasets and open-source codebases.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione



