April 17, 2024, 4:11 a.m. | Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari, Lorenzo De Carli, Luigi V. Mancini

cs.CR updates on arXiv.org arxiv.org

arXiv:2301.11050v2 Announce Type: replace
Abstract: Ransomware attacks have caused billions of dollars in damages in recent years, and are expected to cause billions more in the future. Consequently, significant effort has been devoted to ransomware detection and mitigation. Behavioral-based ransomware detection approaches have garnered considerable attention recently. These behavioral detectors typically rely on process-based behavioral profiles to identify malicious behaviors. However, with an increasing body of literature highlighting the vulnerability of such approaches to evasion attacks, a comprehensive solution to …

arxiv attacks attention cs.cr cs.cy cs.lg detection detector dollars file future minerva mitigation process ransomware ransomware attacks ransomware detection

Social Engineer For Reverse Engineering Exploit Study

@ Independent study | Remote

Information Security Specialist, Sr. (Container Hardening)

@ Rackner | San Antonio, TX

Principal Security Researcher (Advanced Threat Prevention)

@ Palo Alto Networks | Santa Clara, CA, United States

EWT Infosec | IAM Technical Security Consultant - Manager

@ KPMG India | Bengaluru, Karnataka, India

Security Engineering Operations Manager

@ Gusto | San Francisco, CA; Denver, CO; Remote

Network Threat Detection Engineer

@ Meta | Denver, CO | Reston, VA | Menlo Park, CA | Washington, DC