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This work was supported by the MINECO and European Commission (FEDER funds) under project RTI2018-098156-B-C52, the JCCM under the project SB-PLY/17/180501/-00035, the Spanish Education, Culture and Sports Ministry under grants FPU 17/03105 and FPU 17/02007, the University of Castilla-La Mancha under the contract 2018-PREDUCLM-7476 and the project 2020-GRIN-28846, and the Spanish State Research Agency under the project PEJ2018-003001-A.
Impact on the Sustainable Development Goals (SDGs)

Analysis of institutional authors
Castelo Gomez, Juan ManuelAuthorAutomatic Analysis Architecture of IoT Malware Samples
Publicated to:Security And Communication Networks. 2020 8810708- - 2020-10-26 2020(), DOI: 10.1155/2020/8810708
Authors: Carrillo-Mondejar, Javier; Castelo Gomez, Juan Manuel; Nunez-Gomez, Carlos; Roldan Gomez, Jose; Martinez, Jose Luis
Affiliations
Abstract
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.
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Quality index
Bibliometric impact. Analysis of the contribution and dissemination channel
The work has been published in the journal Security And Communication Networks due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2020, it was in position , thus managing to position itself as a Q2 (Segundo Cuartil), in the category . Notably, the journal is positioned en el Cuartil Q4 for the agency WoS (JCR) in the category Telecommunications.
From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 1.41, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Jun 2025)
Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-06-10, the following number of citations:
- WoS: 3
- Scopus: 7
- Open Alex: 7