MADP-IIME: malware attack detection protocol in IoT-enabled industrial multimedia environment using machine learning approach

S Pundir, MS Obaidat, M Wazid, AK Das, DP Singh… - Multimedia …, 2023 - Springer
Abstract Internet of Things (IoT) is one of the fastest-growing technologies. With the
deployment of massive and faster mobile networks, almost every daily-use item is connected …

[HTML][HTML] Optimized and efficient image-based IoT malware detection method

A El-Ghamry, T Gaber, KK Mohammed, AE Hassanien - Electronics, 2023 - mdpi.com
With the widespread use of IoT applications, malware has become a difficult and
sophisticated threat. Without robust security measures, a massive volume of confidential and …

Hybrid malware detection based on Bi-LSTM and SPP-Net for smart IoT

J Jeon, B Jeong, S Baek… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

AI-empowered malware detection system for industrial internet of things

SK Smmarwar, GP Gupta, S Kumar - Computers and Electrical Engineering, 2023 - Elsevier
With the significant growth in Industrial Internet of Things (IIoT) technologies, various IIoT-
based applications have emerged in the last decade. In recent years, various malware …

[HTML][HTML] Artificial intelligence-driven malware detection framework for internet of things environment

S Alsubai, AK Dutta, AM Alnajim, R Ayub… - PeerJ Computer …, 2023 - peerj.com
Abstract The Internet of Things (IoT) environment demands a malware detection (MD)
framework for protecting sensitive data from unauthorized access. The study intends to …

A comparison between different machine learning models for iot malware detection

S Nakhodchi, A Upadhyay, A Dehghantanha - Security of Cyber-Physical …, 2020 - Springer
The rapid expansion of IoT devices and their use in business and critical infrastructure has
made them vulnerable to threats from hackers and malwares. These malwares pose a …

A Review on Machine Learning-based Malware Detection Techniques for Internet of Things (IoT) Environments

S Sasikala, S Janakiraman - Wireless Personal Communications, 2023 - Springer
Abstract Internet of Things (IoT) is the recent digital trend that connects the physical and
virtual world. The strong bonding between the people, objects, machines and the web are …

Convnext-Eesnn: An effective deep learning based malware detection in edge based IIOT

D Maddali - Journal of Intelligent & Fuzzy Systems, 2024 - content.iospress.com
A rising number of edge devices, like controllers, sensors, and robots, are crucial for
Industrial Internet of Things (IIoT) networks for collecting data for communication, storage …

[HTML][HTML] A new deep boosted CNN and ensemble learning based IoT malware detection

SH Khan, TJ Alahmadi, W Ullah, J Iqbal, A Rahim… - Computers & …, 2023 - Elsevier
Security issues are threatened in various types of networks, especially in the Internet of
Things (IoT) environment that requires early detection. IoT is the network of real-time devices …

[HTML][HTML] IIoT malware detection using edge computing and deep learning for cybersecurity in smart factories

H Kim, K Lee - Applied Sciences, 2022 - mdpi.com
The smart factory environment has been transformed into an Industrial Internet of Things
(IIoT) environment, which is an interconnected and open approach. This has made smart …