Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  study the effect of the noise distribution on the error probability of the detection test when a class of randomly rotated spherical fingerprints is used. The detection test is performed by a focused correlation detector, and the spherical codes studied here form a randomized orthogonal constellation. The colluders create a noise-free forgery by uniform averaging of their individual copies, and then add a noise sequence to form the actual forgery.  derive the noise distribution that maximizes the error probability of the detector under average and almost-sure distortion constraints. Moreover,  characterize the noise distribution that minimizes the decoder's error exponent under a large-deviations distortion constraint.
['Negar Kiyavash', 'Pierre Moulin']
I am writing a research paper on a idea Performance of Orthogonal Fingerprinting Codes Under Worst-Case Noise
[{"from": "human", "value": "I am writing a research paper on a idea Performance of Orthogonal Fingerprinting Codes Under Worst-Case Noise"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  study the effect of the noise distribution on the error probability of the detection test when a class of randomly rotated spherical fingerprints is used. The detection test is performed by a focused correlation detector, and the spherical codes studied here form a randomized orthogonal constellation. The colluders create a noise-free forgery by uniform averaging of their individual copies, and then add a noise sequence to form the actual forgery.  derive the noise distribution that maximizes the error probability of the detector under average and almost-sure distortion constraints. Moreover,  characterize the noise distribution that minimizes the decoder's error exponent under a large-deviations distortion constraint."}]