Author:
Starodubov M I,Borshevnikov A E,Bystrevskii S A
Abstract
Abstract
The paper discusses the possibility of determining false positive by the clustering method. A model of malicious software based on the “behavioral” attribute of malicious objects is described in the paper. Described is a method for studying a sample of malicious objects using a clustering algorithm based on spatial density for applications with noises - DBScan.
Reference9 articles.
1. A Spatio- Temporal malware and country clustering algorithm: 2012 IIJ MITF case study;Sisaat;Int. J. Inf. Secur.,2016
2. Partitional Clustering of Malware Using K- Means;Cordeiro de Amorim,2014
3. Clustering for malware classification;Pai;J. Comput. Virol. Hack. Tech.,2016
4. MalCommunity: A Graph-Based Evaluation Model for Malware Family Clustering;Chen,2018
5. Malware classification based on call graph clusterin;Kinable;J. in Computer Virology,2011