Emerging framework for attack detection in cyber-physical systems using heuristic-based optimization algorithm.

ABSTRACT: In recent days, cyber-physical systems (CPS) have become a new wave generation of human life, exploiting various smart and intelligent uses of automotive systems. In these systems, information is shared through networks, and data is collected from multiple sensor devices. This network has sophisticated control, wireless communication, and high-speed computation. These features are commonly available in CPS, allowing multi-users to access and share information through the network via remote access. Therefore, protecting resources and sensitive information in the network is essential. Many research works have been developed for detecting insecure networks and attacks in the network. This article introduces a framework, namely Deep Bagging Convolutional Neural Network with Heuristic Mu

SUBMITTER: Alohali MA 

PROVIDER: S-EPMC10773567 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature