Detecting and forecasting cryptojacking attack trends in Internet of Things and wireless sensor networks devices

Detecting and forecasting cryptojacking attack trends in Internet of Things and wireless sensor networks devices

This research addresses the critical issue of cryptojacking attacks, a significant cybersecurity threat where malicious actors covertly exploit computational resources for unauthorized cryptocurrency mining, particularly in wireless sensor networks (WSN) and Internet of Things (IoT) devices. The art...

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Bibliographic Details
Main Authors: Kishor Kumar Reddy C., Vijaya Sindhoori Kaza, Madana Mohana R., Abdulrahman Alamer, Shadab Alam, Mohammed Shuaib, Sultan Basudan, Abdullah Sheneamer
Format: Article
Language:English
Published: PeerJ Inc. 2024-11-01
Series:PeerJ Computer Science
Subjects:
Cryptojacking
Internet of Things
Deep learning techniques
Wireless sensor networks
Intrusion detection
Machine learning
Online Access:https://peerj.com/articles/cs-2491.pdf
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