Novel integration of Dimetheus and WalkSAT solvers for k-SAT filter construction

This paper describes a novel approach used to integrate two leading satisfiability (SAT) solvers, Dimetheus and WalkSAT, into a system to provide users with solver selection and solution customization capabilities. The two solvers are efficient for two different cases, have different execution procedures and generate a single solution from a single line of command. This integration provides the most efficient way to find multiple random solutions of any set membership problem from a common single line of command. To build an effective k-SAT filter, multiple random solutions are essential. The integration also provides a unified solution output format rather than two different output formats of two solvers. The theoretical approach and a practical C program were developed and tested during the work in an on-going project to build world's first practical k-SAT filter for deep packet inspection in network intrusion detection systems at Stony Brook University.