Title :
Compressing Sets and Multisets of Sequences
Author :
Steinruecken, Christian
Author_Institution :
Dept. of Eng., Univ. of Cambridge, Cambridge, UK
Abstract :
This paper describes lossless compression algorithms for multisets of sequences, taking advantage of the multiset´s unordered structure. Multisets are a generalization of sets, where members are allowed to occur multiple times. A multiset can be encoded naïvely by simply storing its elements in some sequential order, but then information is wasted on the ordering. We propose a technique that transforms the multiset into an order-invariant tree representation, and derive an arithmetic code that optimally compresses the tree. Our method achieves compression even if the sequences in the multiset are individually incompressible (such as cryptographic hash sums). The algorithm is demonstrated practically by compressing collections of SHA-1 hash sums, and multisets of arbitrary, individually encodable objects.
Keywords :
cryptography; data compression; encoding; SHA-1 hash sum compression; arithmetic code; cryptographic hash sums; encodable objects; lossless compression algorithm; multiset unordered structure; order-invariant tree representation; sequence multiset compression; sequential order; set generalization; tree compression; Binary trees; Compression algorithms; Concrete; Cryptography; Decoding; Encoding; Arithmetic coding; Bayesian methods; data compression; hash sums; multisets; tree data structures;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2015.2392093