Authors propose multilingual encryption framework to secure data. Proposed encryption framework should be used for network based data security and standalone data security. Cellular automata based state transition mapping is being applied on proposed framework for enhancing data security using minimum time. Multilingual data collected from different geographical locations, is required to measure the performance of proposed framework. Several encryption schemes have been executed for analyzing the superiority of multilingual encryption using encryption time, and code break complexity. Cellular Automata (CA) based approach is required in multilingual encryption framework to measure linear time complexity. Large dataset is required for computing encryption speed, encryption cycle, and processor time based on a particular hardware. Different keysets, key languages, and key lengths are required in proposed multilingual encryption framework to prepare an authenticated multilingual dataset for encryption in wireless network. Different sizes of encryption keys are required to perform state transition mapping in proposed framework for encrypting multilingual data. External attack analysis between existing encryption systems and multilingual encryption framework is established based on different key length. Comparative analysis between existing encryption systems and proposed CA based encryption scheme is established based on several characteristics.