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Secure Edge Computing in Transportation by brigcse05 is a document available to read on EtoBox.
What is Secure Edge Computing in Transportation about?
The document discusses the use of Deep Learning for enhancing security in Mobile Edge Computing (MEC) for Cyber-Physical Transportation Systems, specifically through a Back-propagation Deep Belief Network (DBN) algorithm. The proposed DBN model effectively detects malicious attacks on mobile devices by processing Android APK datasets and achieving higher accuracy compared to traditional machine learning algorithms like SVM, Decision Tree, and Random Forest. The paper outlines the methodology for feature ext
- Author
- brigcse05
- Language
- EN