Security and Privacy Aspects in Quantum‐Inspired Soft Computing for Intelligent Data Processing

The technology is set to strengthen the ability of quantum-inspired soft computing and promises two core principles: superposition and entanglement, allowing better performance on complex data at scale across multiple industries, such as life sciences, finance, and IoT. This chapter offers an elaborate examination of how quantum-inspired algorithms can enhance data processing, along with the security issues that are becoming ever more prevalent in our modern digital world. In this chapter, we survey security threats, vulnerabilities in quantum-inspired algorithms, and privacy risks associated with enabling intelligent data processing. This has created an increasing need for robust and secure security models as quantum-based and quantum-inspired systems are increasingly used in the field. New challenges, data privacy risks: The report specifically calls out data privacy risks or potential breaches in the course of processing and transmitting data as key challenges. It also acknowledges the hole in an ordinary safety fashion that might not be sufficient to counter the brand-new challenges encountered with quantum-motivated computing. This chapter provides complete knowledge regarding the security and privacy concerns of quantum-inspired soft computing, particularly in terms of real-world applications. It does this by presenting case studies from healthcare, finance, and smart cities, where these concerns play a practical role. Finally, the chapter discusses a few trends, such as quantum cryptography, that stop hackers from intercepting our message to privacy-preserving methods, such as differential privacy and secure multi-party computation. Finally, this states the future directions and AI context that can be used to improve security in the near term and poses questions regarding large-scale quantum computers that will be developed over time. This chapter provides an avenue for professionals to use in securing quantum-inspired data-processing systems in this rapidly developing technological environment.