A comprehensive survey on machine learning approaches for malware detection in IoT-based enterprise information system
A Gaurav, BB Gupta, PK Panigrahi - Enterprise Information …, 2023 - Taylor & Francis
ABSTRACT The Internet of Things (IoT) is a relatively new technology that has piqued
academics' and business information systems' attention in recent years. The Internet of …
academics' and business information systems' attention in recent years. The Internet of …
A collaborative approach to early detection of IoT Botnet
With the rapid growth of threats and diversity in the manner of attack, Internet of things (IoT)
systems has major challenges in providing methods to detect security vulnerabilities and …
systems has major challenges in providing methods to detect security vulnerabilities and …
Hybrid malware detection based on Bi-LSTM and SPP-Net for smart IoT
In this article, we propose the hybrid malware detection scheme, HyMalD, with bidirectional
long short-term memory (Bi-LSTM) and the spatial pyramid pooling network (SPP-Net). Its …
long short-term memory (Bi-LSTM) and the spatial pyramid pooling network (SPP-Net). Its …
An efficient framework for detection and classification of iot botnet traffic
Abstract The Internet of Things (IoT) has become an integral requirement to equip common
life. According to IDC, the number of IoT devices may increase exponentially up to a trillion …
life. According to IDC, the number of IoT devices may increase exponentially up to a trillion …
Enimanal: Augmented cross-architecture IoT malware analysis using graph neural networks
L Deng, H Wen, M Xin, H Li, Z Pan, L Sun - Computers & Security, 2023 - Elsevier
IoT malware analysis is crucial for understanding the behavior and purpose of malware
samples. While deep learning methods have been applied to IoT malware analysis using …
samples. While deep learning methods have been applied to IoT malware analysis using …
Intelligent IoT-BOTNET attack detection model with optimized hybrid classification model
The botnet have developed into a severe risk to Internet of Things (IoT) systems as a result
of manufacturers 'insufficient security policies and end users' lack of security awareness. By …
of manufacturers 'insufficient security policies and end users' lack of security awareness. By …
An automated and comprehensive framework for IoT botnet detection and analysis (IoT-BDA)
T Trajanovski, N Zhang - IEEE Access, 2021 - ieeexplore.ieee.org
The proliferation of insecure Internet-connected devices gave rise to the IoT botnets which
can grow very large rapidly and may perform high-impact cyber-attacks. The related studies …
can grow very large rapidly and may perform high-impact cyber-attacks. The related studies …
A malware detection approach based on deep learning and memory forensics
S Zhang, C Hu, L Wang, MJ Mihaljevic, S Xu, T Lan - Symmetry, 2023 - mdpi.com
As cyber attacks grow more complex and sophisticated, new types of malware become more
dangerous and challenging to detect. In particular, fileless malware injects malicious code …
dangerous and challenging to detect. In particular, fileless malware injects malicious code …
Deep Learning Based XIoT Malware Analysis: A Comprehensive Survey, Taxonomy, and Research Challenges
R Darwish, M Abdelsalam, S Khorsandroo - arXiv preprint arXiv …, 2024 - arxiv.org
The Internet of Things (IoT) is one of the fastest-growing computing industries. By the end of
2027, more than 29 billion devices are expected to be connected. These smart devices can …
2027, more than 29 billion devices are expected to be connected. These smart devices can …
A DDoS Detection and Prevention System for IoT Devices and Its Application to Smart Home Environment
The Internet of Things (IoT) has become an integral part of our daily life as it is growing in
many fields, such as engineering, e-health, smart homes, smart buildings, agriculture …
many fields, such as engineering, e-health, smart homes, smart buildings, agriculture …