UTFacultiesEEMCSDisciplines & departmentsSCSEducationAssignmentsOpen AssignmentsOpen Master AssignmentsDecember 5, 2022: Improving text steganography in email communication using natural language processing

December 5, 2022: Improving text steganography in email communication using natural language processing

MAster assignment

Improving text steganography in email communication using natural language processing

TYPE : MASTER CS

Period: Start date: as soon as possible

Student: Unassigned

If you are interested please contact:

Description:

Text steganography is still a challenging concept for users to hide secret text information in a text file. We have limited redundant space in the cover text file which can be used for hiding the secret text that limits the capacity of hiding the data. Text steganography is useful in email communication where one can share hidden secret text via emails. To improve the capacity of the secret text and the security of the process, researchers have been developing the idea by exploiting the concept of natural language processing (NLP) for text steganography and combining it with cryptography to generate a secret key. The project aims to compare the existing methods of text steganography used in email communication and how they can be improved by considering the existing challenges in text steganalysis. The author develops a method using NLP and presents their findings. 

Requirements:

  1. You have an interest in Text Steganography and Natural Language Processing.
  2. You have good programming skills in Python/Matlab.

References:

[1]: A forward email based high capacity text steganography technique using a randomized and indexed word dictionary (https://link.springer.com/article/10.1007/s11042-020-09329-z)

[2]: Nagarhalli TP (2014) A new approach to SMS text steganography using emoticons. Int J Comput Appl 975:8887

[3]: Murphy B, Vogel C (2007). The syntax of concealment: reliable methods for plain text information hiding. In: security, steganography, and watermarking of multimedia contents IX. P 65050Y

[4]: Wang Z-H, Kieu TD, Chang C-C, Li M-C (2009). Emoticon-based text steganography in chat. In: 2009 Asia-Pacific conference on computational intelligence and industrial applications (PACIIA). Pp 457–460

[5] Fateh M, Rezvani M (2018). Email-based high-capacity text steganography using repeating characters. Int J Comput Appl 1–7.