doi: 10.7763/IJCTE.2011.V3.384
Analysis and Design of Non Linear Snow 2.0 for Improved Security
Mina Masood1
,
Malik Sikandar Hayat Khiyal1 ,
Aihab Khan2 ,
Ghoosia Arshad1
- 1Department of Computer Science, Fatima Jinnah Women University, Rawalpindi, Pakistan.
- 2Department of Computing and Technology, Iqra University, Islamabad, Pakistan
Abstract
In this paper, we propose a stream cipher; non-linear snow 2.0 by embedding non-linear function in dynamic feedback based modified snow 2.0 along with analysis of Guess and Determine (GD) Attack. The proposed non linear snow 2.0 uses two linear feedback shift registers (LFSR) in addition to the non-linear function to make the static nature of modified snow 2.0 dynamic. In non linear snow 2.0, the feed back change accepts values at dynamic tap positions rather than static so its structure is considered as dynamic and non linear. Experimental results show that proposed non-linear snow 2.0 has more resistance against guess and determine attack as compare to dynamic feedback based modified snow 2.0 without non-linear function and static feedback based modified snow 2.0. We conclude that for the encryption of plaintext non-linear snow 2.0 is more secure against guess and determine attack.
Keywords
- Dynamic feedback
- guess and determine attack
- linear feed back shift register (LFSR)
- modified SNOW 2.0
- non-linear function
- non-linear snow 2.0
How to Cite
Mina Masood, Malik Sikandar Hayat Khiyal, Aihab Khan, and Ghoosia Arshad, "Analysis and Design of Non Linear Snow 2.0 for Improved Security," International Journal of Computer Theory and Engineering, vol. 3, no. 5, pp. 638-642, 2011. https://doi.org/10.7763/IJCTE.2011.V3.384
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).