Journal of University of Chinese Academy of Sciences >
Unconstrained optimization attack on double random phase cryptosystem
Received date: 2016-02-24
Revised date: 2016-03-31
Online published: 2016-09-15
An unconstrained optimization method is proposed to attack the double phase encryption system.Under the condition of knowing the plaintext, the new attack method builds an unconstrained optimization model and gets the accurate phase key via this model. Using the acquired phase key, the attacker decrypts the followed cipher. The new attack method transforms the problem of attacking the double phase encryption system into an unconstrained optimization model. The new attack method replaces Hessian matrix by quasi-Newton matrix to avoid computation of the reverse of Hessian matrix. The new attack method has fast convergence speed and strong robustness, and it is not too sensitive to the original values of the variables. This attack method can be applied to other encryption systems.
WANG Guohua , LI Tuo , ZHANG Sanguo , SHI Yishi . Unconstrained optimization attack on double random phase cryptosystem[J]. Journal of University of Chinese Academy of Sciences, 2016 , 33(5) : 604 -611 . DOI: 10.7523/j.issn.2095-6134.2016.05.005
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