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Document details - Designing a Selective Encryption Method Using Natural Language Processing for Text data in Mobile Ad hoc Network

Journal Volume 7, Issue 1, January - February 2018, Article 8531922 Ajay Kushwaha , Dr. Shrikant Tiwari , " Designing a Selective Encryption Method Using Natural Language Processing for Text data in Mobile Ad hoc Network" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 7, Issue 1, January - February 2018 , pp. 051-054 , ISSN 2278 - 6856.

Designing a Selective Encryption Method Using Natural Language Processing for Text data in Mobile Ad hoc Network

    Ajay Kushwaha , Dr. Shrikant Tiwari

Abstract

Abstract: In today’s time security is greatly recommended for the data that is sent over the network. The research problem states, although various approaches towards security is proposed day-by-day, the security loop holes are also propagating and thus constant innovation is essential towards protection of data. The paper intends to introduce a Selective Encryption algorithm for encryption of text data which is termed as Selective Significant Data Encryption (SSDE) adding a noteworthy uncertainty to data while encryption and thus boost security. The SSDE offers adequate uncertainty to the encryption process carried out since it pick only significant data from the entire message using Natural Language Processing (NLP). As a result the encryption time is reduced and performance is improved. Symmetric key algorithms are usually competent and rapid cryptosystem over other methods, so BLOWFISH method is used for encryption. In this study, SSDE is the proposed method which is found superior to existing ones, that is, toss-a-coin and full encryption when performance is evaluated based on the extensive set of experiments done on Network Simulator (NS 2.35). Keywords: Cryptography; Mobile Ad hoc network; Selective encryption; Selective Significant Data Encryption ;Natural language processing; stop words; Natural language tool kit.

  • ISSN: 22786856
  • Source Type: Journal
  • Original language: English

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