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In all, 2,645 cheaters were caught last year.
It can detect cheating from up to k−1 cheaters, while other schemes work only when there are less than (frac {k}{2}) cheaters.
A (k,n) threshold secret image sharing scheme capable of detecting k − 1 cheaters is constructed.
Suppose P1,P2,P3, and P4 participate in image reconstruction and P1,P2,P3 are k−1=3 cheaters.
Our scheme is capable of detecting the cheating from up to k−1 cheaters with only Lagrange interpolations.
As analyzed in Theorem 1, these k−1 cheaters have no information on r; the possibility of r∗=r is (frac {1}{251}).
The capability of cheating detection in our scheme is analyzed in Theorem 2. Our scheme is able to detect cheating from k−1 cheaters.
Our proposed scheme is able to detect the cheating behavior from up to k − 1 cheaters, and the size of image-shadow is almost same as the image-shadow in the original secret image sharing scheme.
A few of the lessons those parents have taught their children are as follows: (1) disrespect boundaries; (2) make excuses to justify bad actions; (3) cheaters prosper; and (4) play the blame-game.
According to Cosmides, Barrett and Tooby [14], cheaters take advantage of a social contract by intentionally failing to share its cost and, therefore, need to be detected early to avoid exploitation.
DOI: http://dx.doi.org/10.7554/eLife.00960.014 10.7554/eLiFigure60.015 Figure 4 figure supplement 2. Cheaters with a much higher affinity for cooperative benefits than cooperators can destroy heterotypic cooperation even in a spatial environment.
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