0000000001142724

AUTHOR

Abdur Rehman Khan

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Exploring Lightweight Deep Learning Solution for Malware Detection in IoT Constraint Environment

2022

The present era is facing the industrial revolution. Machine-to-Machine (M2M) communication paradigm is becoming prevalent. Resultantly, the computational capabilities are being embedded in everyday objects called things. When connected to the internet, these things create an Internet of Things (IoT). However, the things are resource-constrained devices that have limited computational power. The connectivity of the things with the internet raises the challenges of the security. The user sensitive information processed by the things is also susceptible to the trusability issues. Therefore, the proliferation of cybersecurity risks and malware threat increases the need for enhanced security in…

Computer Networks and CommunicationsHardware and ArchitectureControl and Systems EngineeringSignal ProcessingElectrical and Electronic EngineeringInternet of Things; deep learning; natural language processing; RNN; LSTM; malware detectionVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420Electronics; Volume 11; Issue 24; Pages: 4147
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