Research on key strategies and analytics of big data security

Everything around us at all times generates big data. Every digital process and social media exchange produces it. Systems, sensors and mobile devices transmit it. It is arriving from multiple sources at a volume, variety, velocity and veracity. It is changing the way people within organizations work together. The paper summarizes and analyzes the security challenges in big data searches, and introduces the key technologies of these relevant challenges. In security and privacy protection of big data, the paper is focus on specific research status, such as the anonymous technology, watermarking technology, provenance technology, which has solved several existing information security and privacy protection problems. In the calculation of big data, data and calculations need to be saved in ciphertext format. An effective way to handle calculation problems of big data is to use homomorphic encryption scheme, especially the fully homomorphic encryption scheme that can make arbitrary ciphertext complex calculations, and it is the perfect solution to calculate privacy protection problems of big data in theory.