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.
Index Terms—Dynamic feedback, guess and determine attack, linear feed back shift register (LFSR), modified SNOW 2.0, non-linear function, non-linear snow 2.0.
Mina Masood, Malik Sikandar Hayat Khiyal, and Ghoosia Arshad are with Department of Computer Science, Fatima Jinnah Women University, Rawalpindi, Pakistan (e-mail:menotee@yahoo.com, m.sikandarhayat@yahoo.com, ghoosia_arshad22@yahoo.com).
Aihab Khan is with Department of Computing and Technology, Iqra University, Islamabad, Pakistan (E-mail:aihabkhan@yahoo.com)
[PDF]
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.
