LAUSR

A Mobility-Based Epidemic Model for IoT Malware Spread

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1 Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3213032

Abstract: With the rapid advancement of technology, IoT has become inseparable from human lives. IoT is extensively used in transport, healthcare, and manufacturing, among other sectors. However, this technology lacks sufficient security defense capabilities, thus becoming… read more here.

Keywords: model; iot malware; malware spread;

IoT Malware Analysis Using Federated Learning: A Comprehensive Survey

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2 Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3235389

Abstract: The Internet of Things (IoT) has paved the way to a highly connected society where all things are interconnected and exchanging information has become more accessible through the internet. With the use of IoT devices,… read more here.

Keywords: malware analysis; federated learning; malware; user data ... See more keywords

Scalable and Fast Algorithm for Constructing Phylogenetic Trees With Application to IoT Malware Clustering

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2 Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3238711

Abstract: With the development of IoT devices, there is a rapid increase in new types of IoT malware and variants, causing social problems. The malware’s phylogenetic tree has been used in many studies for malware clustering… read more here.

Keywords: phylogenetic tree; iot malware; constructing phylogenetic; malware ... See more keywords

Robust IoT Malware Detection and Classification Using Opcode Category Features on Machine Learning

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2 Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3247344

Abstract: Technology advancements have led to the use of millions of IoT devices. However, IoT devices are being exploited as an entry point due to security flaws by resource constraints. IoT malware is being discovered in… read more here.

Keywords: using opcode; detection classification; malware detection; malware ... See more keywords

Safeguarding the IoT From Malware Epidemics: A Percolation Theory Approach

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1 Published in 2021 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2020.3034111

Abstract: The upcoming Internet of Things (IoT) is foreseen to encompass massive numbers of connected devices, smart objects, and cyber–physical systems. Due to the large scale and massive deployment of devices, it is deemed infeasible to… read more here.

Keywords: percolation theory; spatial firewalls; malware epidemics; iot malware ... See more keywords

IoT Malware Classification Based on Lightweight Convolutional Neural Networks

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1 Published in 2022 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2021.3100063

Abstract: Internet of Things (IoT) is hard to deploy adequate security defenses due to the diversity of architectures as well as the limited computing and storage capabilities, which makes it more vulnerable to malware. With the… read more here.

Keywords: lightweight convolutional; based lightweight; malware; malware classification ... See more keywords

BOTA: Explainable IoT Malware Detection in Large Networks

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3 Published in 2023 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2022.3228816

Abstract: Explainability and alert reasoning are essential but often neglected properties of intrusion detection systems. The lack of explainability reduces security personnel’s trust, limiting the overall impact of alerts. This article proposes the botnet analysis (BOTA)… read more here.

Keywords: bota explainable; malware detection; detection large; detection ... See more keywords

A Knowledge Transfer-Based Semi-Supervised Federated Learning for IoT Malware Detection

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2 Published in 2023 at "IEEE Transactions on Dependable and Secure Computing"

DOI: 10.1109/tdsc.2022.3173664

Abstract: As the demand for Internet of Things (IoT) technologies continues to grow, IoT devices have been viable targets for malware infections. Although deep learning-based malware detection has achieved great success, the detection models are usually… read more here.

Keywords: malware detection; detection; knowledge transfer; iot ... See more keywords