Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Maryland, College Park, MD, USA
Abstract :
An n-word y=(y1,..., yn) over a finite alphabet of cardinality q is called a descendant of a set of t words x1,..., xt if every coordinate yi,i=1,..., n, is contained in the set {x1i,..., xti}. A code C={x1,..., xM} is said to have the t-IPP property if for any n -word y that is a descendant of at most t parents belonging to the code, it is possible to identify at least one of them. From earlier works, it is known that t-IPP codes of positive rate exist if and only if t ≤ q-1. We introduce a robust version of IPP codes which allows error-free identification of parents in the presence of a certain number of mutations, i.e., coordinates in y that can break away from the descent rule, taking arbitrary values from the alphabet or becoming completely unreadable. We show existence of robust t-IPP codes for all t ≤ q-1 and some positive proportion of such coordinates. We uncover a relation between the hash distance of codes and the IPP property and use it to find the exact proportion of mutant coordinates that permits identification of pirates with zero probability of error in the case of size-2 coalitions.
Keywords :
combinatorial mathematics; encoding; error statistics; fingerprint identification; arbitrary values; cardinality; combinatorial arrays; descent rule; error-free identification; finite alphabet; hash distance; identifiable parent property codes; mutant coordinates; mutations; n-word; pirates identification; positive proportion; positive rate; robust parent-identifying codes; robust t-IPP codes; t-IPP property; Educational institutions; Electronic mail; Fingerprint recognition; Hamming distance; Probabilistic logic; Robustness; Vectors; Fingerprinting; hash distance; separating codes; zero-error identification;