Augmenting Natural Language Processing for Selective Encryption in Mobile Ad hoc Network

Ajay kushwaha,Megha Mishra,Subhash Chandra Shrivastava

Nowadays applications on the internet are growing rapidly, everyone shares their thoughts, feelings, and personal data and much more online that’s why security is one of most considerable and important factor in a wireless network. Providing security in the wireless network is much essential and important. An encryption algorithm plays a vital role in the wireless network. This paper aims at Part of speech tagging, determining the part of speech for each word in a sentence using Natural Language Processing. The basic aim is to identify uncommon words which can be encrypted and rest common words can be sent as it is on to the network. This reduces the process of encryption / decryption time and enhancing the performance. In this work the proposed method is found finer as compared to conventional methods, as this increases the performance which is based on the set of experiments done on python with NLTK and NS2.

Volume 11 | 05-Special Issue

Pages: 2247-2252