relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3757/
title: A Novel Framework to Classify Malware in MIPS Architecture-based IoT Devices
creator: Tran, Nghi Phu
creator: Hoang, Dang Kien
creator: Ngo, Quoc Dung
creator: Nguyen, Dai Tho
creator: Nguyen, Ngoc Binh
subject: Information Technology (IT)
subject: Scopus-indexed journals
subject: ISI-indexed journals
description: Malware on devices connected to the Internet via the Internet of Things (IoT) ) is evolving and is a core component of the fourth industrial revolution. IoT devices use the MIPS architecture with a large proportion running on embedded Linux operating systems, but the automatic analysis of IoT malware has not resolved. We proposed a framework to classify malware in IoT devices by using MIPS-based system behavior (system call - syscall) got from our F-Sandbox passive process and machine learning techniques. The F-Sandbox is a new type for IoT sandbox, automatically created from the real firmware of the specialized IoT devices, inheriting the specialized environment in the real firmware, therefore creating a diverse environment for sandboxing as an important characteristic of IoT sandbox. This framework classifies five families of IoT malware with F1-Weight = 97.44%.
publisher: Hindawi
date: 2019
type: Article
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3757/1/A%20Novel%20Framework%20to%20Classify%20Malware%20in%20MIPS%20Architecture-based%20IoT%20Devices_V3.pdf
identifier:   Tran, Nghi Phu and Hoang, Dang Kien and Ngo, Quoc Dung and Nguyen, Dai Tho and Nguyen, Ngoc Binh  (2019) A Novel Framework to Classify Malware in MIPS Architecture-based IoT Devices.  Security and Communication Networks .    ISSN 1939-0114    (In Press)  
relation: https://www.hindawi.com/journals/scn/