In recent era security is very much desired for the messages transmitted through the network. The study shows that, even though many approaches have been proposed towards security till date, still the security loopholes also emerging, so constant advancement is crucial for data security. Since all nodes in the network work together as a team to transmit the data, the network may prone to active or passive attacks such as Eavesdropping, Jamming, traffic analysis, Denial of Service, monitoring etc. The research paper introduces a new selective encryption method termed as Selective Significant Data Encryption (SSDE). The SSDE presents adequate protection to the data encryption process by picking up only the significant content from the complete message by referring Natural Language Processing (NLP). As a result, the encryption time overhead will get reduced, and overall performance will improve. Symmetric key algorithms are generally proficient and quick cryptosystem compared to other techniques, so Blowfish system is used for encryption/decryption process. The proposed research work is compared with many conventional methods and found that this approach is more superior to other traditional means.
A Novel Selective Encryption Method for Securing Text Over Mobile Ad Hoc Network