A Study on Malware Profiling and Result Visualization Design Framework
| Author(s) | : | Bomin Choi, Dae-Hoon Yoo, Hong-Koo Kang, Jun-Hyung Park |
| Institution | : | KISA(Korea Internet & Security Agency) |
| Published In | : | Vol. 4, Issue 11 — November 2017 |
| Page No. | : | 1284-1289 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Advanced persistent threats increase significantly every year, and the scope of those attacks is expandingfrom a simple cyber area to national core infrastructures (e.g., communication facilities, power plant, etc.) andindustries. Those attacks are mostly caused by the malicious code of the same attacker, and similar types/variants arethen distributed continuously. Hence, this paper proposes a framework for malicious code profiling design and resultvisualization. The framework can classify a large amount of incoming malicious code into similar type groups withcommon properties and identify the correlation among those data through visualization, in order to effectively respond tocyber breach incidents quickly.
Bomin Choi, Dae-Hoon Yoo, Hong-Koo Kang, Jun-Hyung Park, “A Study on Malware Profiling and Result Visualization Design Framework”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 11, pp. 1284-1289, November 2017.
