Automatic Analysis Architecture of IoT Malware Samples
Joint Authors
Carrillo-Mondejar, Javier
Castelo Gomez, Juan Manuel
Núñez-Gómez, Carlos
Roldán Gómez, Jose
Martínez, José Luis
Source
Security and Communication Networks
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-26
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
The weakness of the security measures implemented on IoT devices, added to the sensitivity of the data that they handle, has created an attractive environment for cybercriminals to carry out attacks.
To do so, they develop malware to compromise devices and control them.
The study of malware samples is a crucial task in order to gain information on how to protect these devices, but it is impossible to manually do this due to the immense number of existing samples.
Moreover, in the IoT, coexist multiple hardware architectures, such as ARM, PowerPC, MIPS, Intel 8086, or x64-86, which enlarges even more the quantity of malicious software.
In this article, a modular solution to automatically analyze IoT malware samples from these architectures is proposed.
In addition, the proposal is subjected to evaluation, analyzing a testbed of 1500 malware samples, proving that it is an effective approach to rapidly examining malicious software compiled for any architecture.
American Psychological Association (APA)
Carrillo-Mondejar, Javier& Castelo Gomez, Juan Manuel& Núñez-Gómez, Carlos& Roldán Gómez, Jose& Martínez, José Luis. 2020. Automatic Analysis Architecture of IoT Malware Samples. Security and Communication Networks،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1208576
Modern Language Association (MLA)
Carrillo-Mondejar, Javier…[et al.]. Automatic Analysis Architecture of IoT Malware Samples. Security and Communication Networks No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1208576
American Medical Association (AMA)
Carrillo-Mondejar, Javier& Castelo Gomez, Juan Manuel& Núñez-Gómez, Carlos& Roldán Gómez, Jose& Martínez, José Luis. Automatic Analysis Architecture of IoT Malware Samples. Security and Communication Networks. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1208576
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208576