DocumentCode :
2674376
Title :
Detection of Pseudo Random Noise Generator´s parameters for link analysis
Author :
Mustafa, Hafiz Atta Ul
Author_Institution :
NUCES, Nat. Univ. FAST, Islamabad, Pakistan
fYear :
2009
fDate :
19-20 Oct. 2009
Firstpage :
362
Lastpage :
367
Abstract :
This paper presents the method how the parameters of pseudo random noise generator (PRNG) can be detected. The parameters to be detected include the primitive polynomial and the initial seed of the PRNG. Different test vectors of scrambled sequences are generated by changing the parameters of linear feedback shift register (LFSR). The test vectors are then passed one by one through the detection algorithm which calculates the weight difference for a range of primitive trinomials. Subsequently, the weight difference is calculated between the alphabets over GF(2) of decoded periods of LFSR The maximum weight difference thus obtained for specific polynomial depicts the most probable primitive trinomial. The initial seed of LFSR is then found by fixing the trinomial and calculating the weight difference for a range of seeds. The correct initial seed is depicted by the maximum weight difference.
Keywords :
binary sequences; decoding; feedback; noise generators; polynomials; random noise; random sequences; shift registers; LFSR parameters; PRNG parameters; decoded periods; detection algorithm; initial seed; linear feedback shift register; link analysis; primitive polynomial; primitive trinomials; pseudorandom noise generator parameter detection; scrambled sequences; test vectors; weight difference; Data mining; Decoding; Detection algorithms; Linear feedback shift registers; Noise generators; Paper technology; Polynomials; Testing; Timing; Vectors; Pseudorandom Noise Generator (PRNG); polynomial detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technologies, 2009. ICET 2009. International Conference on
Conference_Location :
Islamabad
Print_ISBN :
978-1-4244-5630-7
Electronic_ISBN :
978-1-4244-5631-4
Type :
conf
DOI :
10.1109/ICET.2009.5353143
Filename :
5353143
Link To Document :
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