Recent work with dynamic optimization in platform independent, virtual machine based languages such as Java has sparked interest in the possibility of applying similar techniques to arbitrary compiled binary programs. Systems such as Dynamo, DAISY, and FX!32 exploit dynamic optimization techniques to improve performance of native or foreign architecture binaries. However, research in this area is complicated by the lack of openly licensed, freely available, and platform-independent experimental frameworks. SIND aims to fill this void by providing a easily-extensible and flexible framework for research and development of applications and techniques of binary translation. Current research focuses are dynamic optimization of running binaries and dynamic security augmentation and integrity assurance.