In this paper we consider the problem of secure pattern matching that allows single-
character wildcards and substring matching in the malicious (stand-alone) setting. Our …

In this study, to substantially improve the runtimes of exact and approximate string matching
algorithms, we propose a tribrid parallel method for bit-parallel algorithms such as the Shift …

The exponential growth of available biological data in recent years coupled with their
increasing complexity has made their analysis a computationally challenging process …

Genetic information is increasing exponentially, doubling every 18 months. Analyzing this
information within a reasonable amount of time requires parallel computing resources. While …

Pattern matching algorithms are used in several areas such as network security,
bioinformatics and text mining. In order to support large data and pattern sets, these …

The DNA sequence analysis is a data and computationally intensive problem and therefore
demands suitable parallel computing resources and algorithms. In this paper, we describe …

Pattern matching algorithms are used in several areas such as network security,
bioinformatics and text mining, where the volume of data is growing rapidly. In order to …

Controlling the gene expression is the most important development in a living organism,
which makes it easier to find different kinds of diseases and their causes. It's very difficult to …

Aho-Corasick (AC) algorithm is a commonly used string matching algorithm. It performs
multiple patterns matching for computer and network security applications. These …

Pattern matching is a commonly used operation in many applications including image
processing, computer and network security, bioinformatics, among many others. Aho …