Malware Visualization Techniques

Ahmet EFE; Saleh Hussin S. HUSSİN

doi:https://doi.org/10.18100/ijamec.526813

Makale detayları

Malware Visualization Techniques

Yazarlar:

Ahmet EFE | Saleh Hussin S. HUSSİN

Yayıncı:

Selcuk University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

International Journal of Applied Mathematics Electronics and Computers 2020 Vol.8 Issue 1, pp.7-20

Belge Tipi:

Makale

Yayın Tarihi:

3/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000475782

Sıklık:

Üç Aylık

eISSN:

2147-8228

pISSN:

2147-8228

DOI:

https://doi.org/10.18100/ijamec.526813

Özet:

 

Malware basically means malicious software that can be an intrusive program code or anything that is designed to perform malicious operations on system and executes malicious actions such as clandestine, listening, monitoring, saving, and deleting without the user's knowledge and consent. Malware review and analysis requires an advanced level of programming knowledge, in-depth file systems knowledge, deep code inspection, and reverse engineering capability. New techniques are needed to reduce indirect costs of malware analysis. This paper aims to provide insights into the malware visualization techniques and its applications, most common malware types and the extracted features that used to identify the malware are demonstrated in this study. In this work, Systematic Literature Review (SLR) conducted to investigate the current state of knowledge about Malware detection techniques, data visualization and malware features. An advanced research has been carried out in most relevant digital libraries for potential published articles. 90 preliminary studies (PS) were determined on the basis of inclusion and exclusion criteria. The analytical study is based mainly on the PSs to achieve the goals. The results clarify the importance of visualization techniques and which are the most common malware as well as the most useful features. Several ways to visualize malware to help malware analysts have been suggested.

Makale detayları

Malware Visualization Techniques

Yazarlar: Ahmet EFE | Saleh Hussin S. HUSSİN

Yayıncı: Selcuk University

Ana Başlıklar: Uygulamalı fizik

Dergi: International Journal of Applied Mathematics Electronics and Computers 2020 Vol.8 Issue 1, pp.7-20

Belge Tipi: Makale

Yayın Tarihi: 3/2020

Belge Dili: İngilizce

Document ID (Org No.): 2000475782

Sıklık: Üç Aylık

eISSN: 2147-8228

pISSN: 2147-8228

DOI: https://doi.org/10.18100/ijamec.526813

Sayı

Yazarlar:

Ahmet EFE | Saleh Hussin S. HUSSİN

Yayıncı:

Selcuk University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

International Journal of Applied Mathematics Electronics and Computers 2020 Vol.8 Issue 1, pp.7-20

Belge Tipi:

Makale

Yayın Tarihi:

3/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000475782

Sıklık:

Üç Aylık

eISSN:

2147-8228

pISSN:

2147-8228

DOI:

https://doi.org/10.18100/ijamec.526813