Artificial intelligence-driven cybersecurity for resilient and sustainable business in Industry 5.0
Abstract
The Industry 5.0 paradigm indicates the transition to human-centered, sustainable, and resilient Industry manufacturing ecosystems in need of artificial intelligence, cyber-physical systems, and collaborative robotics. But this hyper-networked industrial environment brings cybersecurity risks in a scale never previously witnessed globally, and these risks place continuity of operations, integrity of data, and sustainability of the business at stake. The conventional security structures used in the Industry 4.0 cannot protect the complex, dynamic, and multidimensional cyber threats to the Industry 5.0 structures. The proposed research is a new cybersecurity framework that has been developed based on artificial intelligence to be deployed in Industry 5.0 specifically and will embrace adaptive deep learning algorithms, federated learning models, and quantum-resistant cryptography protocols. Our hybrid methodology involved the use of Convolutional Neural Networks along with Long Short-Term Memory networks and Generative Adversarial Networks which are used to identify, forecast and counter attack advanced persistent threats in real time industries. Through statistical analysis, it was found that our AI-based framework had 98.73 percent accuracy in detecting threats with a false positive rate of 0.89 per cent, meaning it was 34.2 per cent better than the current state-of-the-art methods. More so, the framework showed 97.4 resiliency to adversarial attacks and a 67.3-time reduction to detect threats which is much less than traditional intrusion detection systems. The applied implementation led to the rate of security incidents decreasing by 43.8 per cent and improving business continuity indicators by 52.6 per cent which was a direct contributor to sustainable operating practices. The novelty of this research is its theoretically based and empirically-validated AI-based context of cybersecurity architecture that fills crucial gaps in the literature of Industry 5.0 security and offers anyone with actionable suggestions on how to develop resilient and sustainable digital industrial ecosystems.
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