Research on Privacy Protection of Indoor Temperature Acquisition Based on MapReduce Model

The privacy of indoor temperature acquisition system is protected, and the information encryption and secure storage ability of indoor temperature acquisition are improved to prevent data leakage. A privacy protection and anti-attack encryption algorithm of indoor temperature acquisition based on MapReduce model is proposed. The data structure model of privacy protection data in indoor temperature acquisition system is analyzed, the information coding model of indoor temperature data is constructed, and the random sequence analysis of privacy protection data is carried out by combining data vector quantification coding method. MapReduce model and fuzzy block encryption control method are used to improve the anti-attack encryption algorithm of privacy protection data in indoor temperature acquisition system. The simulation results show that the algorithm can resist leakage encryption of privacy protection data in indoor temperature acquisition system, enhance the randomness of key coding distribution of data, reduce the deciphering probability, improve the privacy protection ability of indoor temperature acquisition, reduce the risk of data leakage and attack, improve the privacy protection performance of data encryption, and have good application value in indoor temperature acquisition and information encryption.