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Motivated by the fact that 2-dimensional data have become popularly used inmany applications without being much considered its integrity checking. Weintroduce the problem of detecting a corrupted area in a 2-dimensional space,and investigate two possible efficient approaches and show their time and spacecomplexities. Also, we briefly introduce the idea of an approximation schemeusing a hash sieve and suggest a novel "adaptive tree" structure revealinggranularity of information.

Detecting a Corrupted Area in a 2-Dimensional Space