Scientific Classification of Malware from Practice

Subjects: Computer Science >> Other Disciplines of Computer Science submitted time 2024-05-09

Xiao Xinguang Li Chenping Han Yaoguang Tong Zhiming Li Qi

Abstract： In response to the demand from academia and industry for a scientific classification of malware,this study builds upon existing work and draws insights from Kaspersky’s rigorously multi-stage naming methodology, emphasizing the principles of mutual exclusivity, comprehensive coverage, and convergence,combines the use of threat risk behavior labels ,forms a classification framework for malware that conforms to the MECE (Mutually Exclusive, Collectively Exhaustive) principle, achieves convergence, is compatible with real-world industry classifications,provides effectively support on security defense and governance.

YES

 Hits 263  Downloads 84  Comment