Exploration of innovative cryptographic application solutions under multimodal big data fusion

With the rapid development of information technology, data has become the cornerstone of digitalization, networking, and intelligence, profoundly impacting various sectors including production, distribution, circulation, consumption, and social service management. As the core resource of the digital economy and information society, the economic and social value of big data is increasingly prominent, yet it has also become a prime target for cyberattacks. In the face of a complex and ever-changing data environment and advanced cyber threats, traditional big data security technologies such as Hadoop and other mainstream technologies are proving inadequate in ensuring data security and compliance. Consequently, cryptography-based technologies such as fully encrypted execution environments and efficient data encryption and decryption have emerged as new directions for security protection in the field of big data. This paper delves into the latest advancements and challenges in this area by exploring the current state of big data security, the principles of endogenous security technologies, practical applications, and future prospects.