首页 | 本学科首页   官方微博 | 高级检索  
     


MMALE—A Methodology for Malware Analysis in Linux Environments
Authors:José Javier de Vicente Mohino  Javier Bermejo Higuera  Juan Ramón Bermejo Higuera  Juan Antonio Sicilia Montalvo  Manuel Sánchez Rubio  José Javier Martínez Herraiz
Affiliation:1.Escuela Superior de Ingeniería y Tecnología, Universidad Internacional de La Rioja, Logroño, 26006, La Rioja, Spain2 Departamento de Ciencias de la Computación de la Escuela Politécnica Superior, Universidad de Alcalá de Henares, Alcalá de Henares, Madrid, Spain
Abstract:In a computer environment, an operating system is prone to malware, and even the Linux operating system is not an exception. In recent years, malware has evolved, and attackers have become more qualified compared to a few years ago. Furthermore, Linux-based systems have become more attractive to cybercriminals because of the increasing use of the Linux operating system in web servers and Internet of Things (IoT) devices. Windows is the most employed OS, so most of the research efforts have been focused on its malware protection rather than on other operating systems. As a result, hundreds of research articles, documents, and methodologies dedicated to malware analysis have been reported. However, there has not been much literature concerning Linux security and protection from malware. To address all these new challenges, it is necessary to develop a methodology that can standardize the required steps to perform the malware analysis in depth. A systematic analysis process makes the difference between good and ordinary malware analyses. Additionally, a deep malware comprehension can yield a faster and much more efficient malware eradication. In order to address all mentioned challenges, this article proposed a methodology for malware analysis in the Linux operating system, which is a traditionally overlooked field compared to the other operating systems. The proposed methodology is tested by a specific Linux malware, and the obtained test results have high effectiveness in malware detection.
Keywords:Malware analysis  methodology analysis  Linux malware  IoT malware
点击此处可从《》浏览原始摘要信息
点击此处可从《》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号