Standardization of IoT Ecosystems

Szczepaniuk, Hubert; Szczepaniuk, Edyta Karolina

doi:10.1201/9781003219620-2

Cited by 3 publications

(1 citation statement)

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“…Thus, we chose to study the GNU/Linux system under the most used architecture in IoT scenarios: the 32-bit ARM architecture [50]. The Linux kernel is present in a great number of systems with different computer architectures.…”

Section: Introductionmentioning

confidence: 99%

Antivirus Solution to IoT Malware Detection with Authorial Next-Generation Sandbox

Silva

Lima

Pinheiro

et al. 2023

Preprint

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Background: Nowadays, the Internet of Things (IoT) significantly impacts people’s lives, reaching hundreds of billions of devices connected to the world wide web. Given the popularity of smart devices, the amount of cyber-attacks targeting technology has grown in the last few years. Malware is currently the main cyber-villain in IoT situations due to the ongoing emergence of new malware targeted at IoT, such as the botnet, the use of sophisticated obfuscation and evasion tactics, and frequently the availability of enormous resources for its development. Objective: The present work creates an Antivirus for Dynamic Malware Analysis based on Artificial Neural Networks, equipped with authorial emulated IoT Sandbox. Our antivirus is specialized in malware detection from 32-bit IoT architectures of the Advanced RISC Machine (ARM) type. Methods: In the proposed methodology, the suspected ELF file for 32-bit ARM architecture is executed with the objective of intentionally infecting the audited GNU/Linux. In opposition to analysis of individual events, our engine employs authorial Next-Generation Sandbox. In all, our antivirus monitors and statistically weighs 2,793 actions that the suspicious ELF file can perform when executed. Results: Our antivirus reaches an average accuracy of 98.75% when distinguishing benign ARM ELF files from malware. Our antivirus architectures are probed under different learning functions and starting conditions to maximize their accuracy. Conclusions: The lack or limited detection of malicious software by commercial antivirus programs can be provided by Smart Antivirus. Instead of models based on blocklists, signatures or heuristics, our antivirus allows the detection of ARM ELF malware in a preventive and non-reactive way. Our antivirus overcomes limitations of Clamav and other traditional antiviruses.

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Section: Introductionmentioning

confidence: 99%

Antivirus Solution to IoT Malware Detection with Authorial Next-Generation Sandbox

Silva

Lima

Pinheiro

et al. 2023

Preprint

View full text Add to dashboard Cite

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Antivirus solution to IoT malware detection with authorial next-generation sandbox

Tavares-Silva,

Lopes-Lima,

Paranhos-Pinheiro

et al. 2024

J Supercomput

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Current Issues in Combating Chemical, Biological, Radiological, and Nuclear Threats to Empower Sustainability: A Systematic Review

Gawlik-Kobylińska¹

2022

Applied Sciences

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Combating chemical, biological, radiological, and nuclear (CBRN) threats with novel solutions reduces disasters and accident risks and, at the same time, aids sustainability. This research aims to identify the innovations in combating CBRN threats and verify how they fall within the scope of the Sustainable Development Goals (SDG). The study relies on mixed-method research, including bibliometrics and text-mining used to identify clusters, most frequent words, and codes. The material for the research was 156 publications from the Scopus database from 2017 to April 2022. From the analytical process, textual data served as the indicators of the innovations’ directions driven by SDGs. The research results indicated that innovations for combating CBRN threats support sustainability mainly in health and environmental areas, specifically in: SDG 3: Good Health and Well-being; SDG 6: Clean Water and Sanitation; SDG 14: Life Below Water; SDG 15: Life On Land. The research contributes to the landscape of innovations serving sustainable development. Further studies may focus on narrower perspectives, such as environmental protection and health innovations. There can also be concerns about the dark side of CBRN innovations and technologies of dual use.

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Standardization of IoT Ecosystems

Cited by 3 publications

References 0 publications

Antivirus Solution to IoT Malware Detection with Authorial Next-Generation Sandbox

Antivirus Solution to IoT Malware Detection with Authorial Next-Generation Sandbox

Antivirus solution to IoT malware detection with authorial next-generation sandbox

Current Issues in Combating Chemical, Biological, Radiological, and Nuclear Threats to Empower Sustainability: A Systematic Review

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