Selective Encryption using Natural Language Processing for Text data in Mobile Ad hoc Network

These days security is highly recommended for data which is transferred over network. Although various approaches towards security are proposed day-by-day, the security loop holes are also propagating and thus constant innovation is essential towards protection of data. The paper aims to introduce a selective encryption algorithm for text data encryption termed as Selective Significant Data Encryption (SSDE) adding a noteworthy uncertainty to data while encryption. The SSDE provides sufficient uncertainty to the data encryption process as it selects only significant data out of the whole message using Natural Language Processing (NLP). This in turn reduces the encryption time and enhances the performance. Symmetric key algorithms are typically efficient and fast cryptosystem over other methods, So BLOWFISH method is used for encryption. The SSDE method is found superior to existing ones, that is, toss-a-coin and full encryption method when performance is evaluated based on the extensive set of experiments.